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Pequito's research consists of understanding the global qualitative behavior of large-scale systems from their structural or parametric descriptions and provides a rigorous framework for the design, analysis, optimization, and control of large-scale systems. His interests span neuroscience and biomedicine, where dynamical systems, control theory, and artificial intelligence can be leveraged to develop new analysis tools for brain dynamics toward effective personalized medicine and improve bidirectional interfaces. Pequito is an IEEE senior member and was awarded the best student paper finalist in the 48th IEEE Conference on Decision and Control (2009) and the 2016 O. Hugo Schuck Award in the Theory Category by the American Automatic Control Council.
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Identification

Personal identification

Full name
SÉRGIO DANIEL GONÇALVES MELO PEQUITO

Citation names

  • PEQUITO, SÉRGIO

Author identifiers

Ciência ID
5A17-B561-D32A
ORCID iD
0000-0002-5143-1543

Email addresses

  • sergio.pequito@tecnico.ulisboa.pt (Professional)

Telephones

Mobile phone
  • 910949476 (Personal)

Websites

Knowledge fields

  • Engineering and Technology - Electrotechnical Engineering, Electronics and Informatics - Automation and Control Systems

Languages

Language Speaking Reading Writing Listening Peer-review
Portuguese (Mother tongue)
English Proficiency (C2) Proficiency (C2) Proficiency (C2) Proficiency (C2) Proficiency (C2)
Education
Degree Classification
2017/06/30
Concluded
 Electrical and Computer Engineering (Postgraduate Certificate)
University of Pennsylvania, United States
2014/08/12
Concluded
 Electrical and Computer Engineering (Doctor of Philosophy)
Carnegie Mellon University, United States
2014/07/16
Concluded
 Electrical and Computer Engineering (Doutoramento)
Major in Dynamical systems and control theory
Universidade de Lisboa Departamento de Engenharia Electrotécnica e de Computadores, Portugal
2009/07/17
Concluded
 Applied Mathematics (Mestrado)
Universidade de Lisboa Instituto Superior Técnico Departamento de Matemática, Portugal
2007/09/01
Concluded
 Applied Mathematics and Computation (Licenciatura)
Universidade de Lisboa Instituto Superior Técnico Departamento de Matemática, Portugal
Affiliation

Science

Category
Host institution 		Employer
2024/04/01 - Current Principal Investigator (Research) Universidade de Lisboa Instituto de Sistemas e Robótica, Portugal

Teaching in Higher Education

Category
Host institution 		Employer
2024/04/01 - Current Associate Professor (University Teacher) Universidade de Lisboa Instituto Superior Técnico, Portugal
2022/07/01 - 2024/03/31 Associate Professor (University Teacher) Uppsala universitet Systemteknik, Sweden
2020/06/01 - 2022/06/30 Assistant Professor (University Teacher) Technische Universiteit Delft, Netherlands
2017/07/01 - 2020/05/31 Assistant Professor (University Teacher) Rensselaer Polytechnic Institute, United States
Projects

Contract

Designation Funders
2024/01/01 - Current Sensor and actuator selection for learning, estimation and control of fractional dynamical networks
SOCRATES
Principal investigator
2022/10/01 - Current The Dutch Brain Interfaces Initiative
The Dutch Brain Interfaces Initiative
Researcher
2022/09/01 - Current Integrative Neuromedicine
Integrative Neuromedicine
Researcher
2022/07/01 - Current Cohesion Proposal in the Mechanical Engineering Faculty at Delft University of Technology
Cohesion TU Delft
Researcher
2020/01/01 - Current NSF Collaborative Research: Spatiotemporal Fractional Modeling of Blood-Oxygen- Level Dependent Signals
NSF Collaborative Research: Spatiotemporal Fractional Modeling of Blood-Oxygen- Level Dependent Signals
Principal investigator
2019/09/01 - Current IBM Artificial Intelligence Research Collaboration – AI Horizon Program
IBM Artificial Intelligence Research Collaboration – AI Horizon Program
Principal investigator

Other

Designation Funders
2017/07/01 - Current Rensselaer Faculty Early-Career Development Research Grant
Rensselaer Faculty Early-Career Development Research Grant
Principal investigator
Outputs

Publications

Conference paper
  1. Reed, E.A.; Ramos, G.; Bogdan, P.; Pequito, S.. "Mitigating Epilepsy by Stabilizing Linear Fractional-Order Systems". 2023.
    10.23919/ACC55779.2023.10156404
  2. Chatterjee, S.; Pequito, S.. "On Learning Discrete-Time Fractional-Order Dynamical Systems". 2022.
    10.23919/ACC53348.2022.9867773
  3. Chatterjee, S.; Das, S.; Pequito, S.. "IF: Iterative Fractional Optimization". 2021.
    10.14428/esann/2021.ES2021-133
  4. Kyriakis, P.; Pequito, S.; Bogdan, P.. "Actuator Placement for Heterogeneous Complex Dynamical Networks with Long-Term Memory". 2020.
    10.23919/ACC45564.2020.9148027
  5. Kyriakis, P.; Pequito, S.; Bogdan, P.. "On the Stability and Fairness of Submodular Allocations". 2020.
    10.1109/CDC42340.2020.9304168
  6. Farinha, M.T.; Pequito, S.; Santos, P.A.; Figueiredo, M.A.T.. "Equilibrium propagation for complete directed neural networks". 2020.
  7. Gupta, G.; Pequito, S.; Bogdan, P.. "Learning latent fractional dynamics with unknown unknowns". 2019.
  8. Li, J.; Chen, X.; Pequito, S.; Pappas, G.J.; Preciado, V.M.. "Resilient structural stabilizability of undirected networks". 2019.
  9. Romero, O.; Chatterjee, S.; Pequito, S.. "Convergence of the expectation-maximization algorithm through discrete-time lyapunov stability theory". 2019.
  10. Chatterjee, S.; Pequito, S.. "Dealing with state estimation in fractional-order systems under artifacts". 2019.
  11. Li, J.; Chen, X.; Pequito, S.; Pappas, G.J.; Preciado, V.M.. "Structural Target Controllability of Undirected Networks". 2019.
    10.1109/CDC.2018.8619399
  12. Ramos, G.; Pequito, S.; Caleiro, C.. "The robust minimal controllability problem for switched linear continuous-time systems". 2018.
    10.23919/ACC.2018.8431919
  13. Gupta, G.; Pequito, S.; Bogdan, P.. "Dealing with Unknown Unknowns: Identification and Selection of Minimal Sensing for Fractional Dynamics with Unknown Inputs". 2018.
    10.23919/ACC.2018.8430866
  14. Gupta, G.; Pequito, S.; Bogdan, P.. "Re-Thinking EEG-Based Non-Invasive Brain Interfaces: Modeling and Analysis". 2018.
    10.1109/ICCPS.2018.00034
  15. Romero, O.; Pequito, S.. "Performance guarantees for greedy sensor selection". 2018.
  16. Becker, C.O.; Pequito, S.; Pappas, G.J.; Preciado, V.M.. "Network design for controllability metrics". 2018.
    10.1109/CDC.2017.8264276
  17. Alexandru, A.B.; Pequito, S.; Jadbabaie, A.; Pappas, G.J.. "On the limited communication analysis and design for decentralized estimation". 2018.
    10.1109/CDC.2017.8263897
  18. Tsiamis, A.; Pequito, S.; Pappas, G.J.. "Distributed leader selection in switching networks of high-order integrators". 2017.
    10.1109/ALLERTON.2017.8262767
  19. Becker, C.O.; Pequito, S.; Pappas, G.J.; Preciado, V.M.. "Approximation of network linear operators using similarity shift filters". 2017.
    10.1109/GlobalSIP.2016.7905876
  20. Pequito, S.; Ashourvan, A.; Bassett, D.; Litt, B.; Pappas, G.J.. "Spectral control of cortical activity". 2017.
    10.23919/ACC.2017.7963373
  21. Pequito, S.; Clark, A.; Pappas, G.J.. "Discrete-time fractional-order multiple scenario-based sensor selection". 2017.
    10.23919/ACC.2017.7963808
  22. Xue, Y.; Pequito, S.; Coelho, J.R.; Bogdan, P.; Pappas, G.J.. "Minimum number of sensors to ensure observability of physiological systems: A case study". 2017.
    10.1109/ALLERTON.2016.7852369
  23. Alexandru, A.B.; Pequito, S.; Jadbabaie, A.; Pappas, G.J.. "Decentralized observability with limited communication between sensors". 2016.
    10.1109/CDC.2016.7798379
  24. Pequito, S.; Khambhati, A.N.; Pappas, G.J.; Siljak, D.D.; Bassett, D.; Litt, B.. "Structural analysis and design of dynamic-flow networks: Implications in the brain dynamics". 2016.
    10.1109/ACC.2016.7526572
  25. Pequito, S.; Bogdan, P.; Pappas, G.J.. "Minimum number of probes for brain dynamics observability". 2015.
    10.1109/CDC.2015.7402218
  26. Ramos, G.; Pequito, S.; Aguiar, A.P.; Kar, S.. "Analysis and design of electric power grids with p-robustness guarantees using a structural hybrid system approach". 2015.
    10.1109/ECC.2015.7331082
  27. Rocha, P.; Pequito, S.; Kar, S.; Aguiar, A.P.. "Sensor placement for real-time dynamic state estimation in power systems: Structural systems approach". 2015.
    10.1109/ACSSC.2014.7094634
  28. Pequito, S.; Pappas, G.J.. "Smart building: A private cyber-physical system approach". 2015.
    10.1145/2756755.2756756
  29. Carvalho, J.F.; Pequito, S.; Aguiar, A.P.; Kar, S.; Pappas, G.J.. "Static output feedback: On essential feasible information patterns". 2015.
    10.1109/CDC.2015.7402839
  30. Pequito, S.; Kar, S.; Pappas, G.J.. "Minimum cost constrained input-output and control configuration co-design problem: A structural systems approach". 2015.
    10.1109/ACC.2015.7171972
  31. Pequito, S.; Preciado, V.; Pappas, G.J.. "Distributed leader selection". 2015.
    10.1109/CDC.2015.7401997
  32. Pequito, S.; Svacha, J.; Pappas, G.J.; Kumar, V.. "Sparsest Minimum Multiple-Cost Structural Leader Selection". 2015.
    10.1016/j.ifacol.2015.10.321
  33. Pequito, S.; Kar, S.; Sundaram, S.; Aguiar, A.P.. "Design of communication networks for distributed computation with privacy guarantees". 2014.
    10.1109/CDC.2014.7039593
  34. Pequito, S.; Rego, F.; Kar, S.; Aguiar, A.P.; Pascoal, A.; Jones, C.. "Optimal design of observable multi-agent networks: A structural system approach". 2014.
    10.1109/ECC.2014.6862577
  35. Pequito, S.; Kar, S.; Aguiar, A.P.. "Minimum number of information gatherers to ensure full observability of a dynamic social network: A structural systems approach". 2014.
    10.1109/GlobalSIP.2014.7032219
  36. Liu, X.; Pequito, S.; Kar, S.; Mo, Y.; Sinopoli, B.; Aguiar, A.P.. "Minimum robust sensor placement for large scale linear time-invariant systems: A structured systems approach". 2013.
    10.3182/20130925-2-DE-4044.00067
  37. Pequito, S.; Kar, S.; Aguiar, A.P.. "A structured systems approach for optimal actuator-sensor placement in linear time-invariant systems". 2013.
  38. Pequito, S.; Kar, S.; Aguiar, A.P.. "Optimal cost actuator/sensor placement for large scale linear time-invariant systems: A structured systems approach". 2013.
  39. Pequito, S.; Kruzick, S.; Kar, S.; Moura, J.M.F.; Aguiar, A.P.. "Optimal design of distributed sensor networks for field reconstruction". 2013.
  40. Pequito, S.; Agbi, C.; Popli, N.; Kar, S.; Aguiar, A.P.; Ilic, M.. "Designing decentralized control systems without structural fixed modes: A multilayer approach ?". 2013.
    10.3182/20130925-2-DE-4044.00042
  41. Deri, J.A.; Pequito, S.; Kar, S.; Moura, J.M.F.. "Identifying small subsets of agents for behavior tracking and abnormal event detection in dynamic networks". 2013.
    10.1145/2489247.2489248
  42. Pequito, S.; Kar, S.; Aguiar, A.P.. "Minimum cost input-output and control configuration selection: A structural systems approach". 2013.
    10.1109/CDC.2013.6760657
  43. Pequito, S.; Popli, N.; Kar, S.; Ilic, M.D.; Aguiar, A.P.. "A framework for actuator placement in large scale power systems: Minimal strong structural controllability". 2013.
    10.1109/CAMSAP.2013.6714096
  44. Ramos, G.; Pequito, S.; Aguiar, A.P.; Ramos, J.; Kar, S.. "A model checking framework for linear time invariant switching systems using structural systems analysis". 2013.
    10.1109/Allerton.2013.6736631
  45. Pequito, S.; Liu, Q.; Kar, S.; Ilic, M.D.. "PMU placement to ensure observable frequency and voltage dynamics: A structured system approach". 2013.
    10.1109/HICSS.2013.450
  46. Pequito, S.; Aguiar, A.P.; Sinopoli, B.; Gomes, D.A.. "Nonlinear estimation using Mean Field Games". 2011.
  47. Pequito, S.; Aguiar, A.P.; Sinopoli, B.; Gomes, D.A.. "Unsupervised learning of finite mixture models using mean field games". 2011.
    10.1109/Allerton.2011.6120185
  48. Pequito, S.; Aguiar, A.P.; Gomes, D.A.. "The entropy penalized minimum energy estimator". 2009.
    10.1109/CDC.2009.5400482
Journal article
  1. Chatterjee, S.; Alessandretti, A.; Aguiar, A.P.; Pequito, S.. "Discrete-Time Fractional-Order Dynamical Networks Minimum-Energy State Estimation". IEEE Transactions on Control of Network Systems 10 1 (2023): 226-237. http://www.scopus.com/inward/record.url?eid=2-s2.0-85136692747&partnerID=MN8TOARS.
    10.1109/TCNS.2022.3198832
  2. Ramos, G.; Pequito, S.. "Designing communication networks for discrete-time consensus for performance and privacy guarantees". Systems and Control Letters 180 (2023): http://www.scopus.com/inward/record.url?eid=2-s2.0-85168797934&partnerID=MN8TOARS.
    10.1016/j.sysconle.2023.105608
  3. Reed, E.A.; Ramos, G.; Bogdan, P.; Pequito, S.. "A Scalable Distributed Dynamical Systems Approach to Learn the Strongly Connected Components and Diameter of Networks". IEEE Transactions on Automatic Control 68 5 (2023): 3099-3106. http://www.scopus.com/inward/record.url?eid=2-s2.0-85139496191&partnerID=MN8TOARS.
    10.1109/TAC.2022.3209446
  4. Reed, E.A.; Ramos, G.; Bogdan, P.; Pequito, S.. "The role of long-term power-law memory in controlling large-scale dynamical networks". Scientific Reports 13 1 (2023): http://www.scopus.com/inward/record.url?eid=2-s2.0-85176260224&partnerID=MN8TOARS.
    10.1038/s41598-023-46349-9
  5. Bogdan, P.; Ivanov, P.C.; Pequito, S.. "Editorial: Inference, Causality and Control in Networks of Dynamical Systems: Data Science and Modeling Perspectives to Network Physiology With Implications for Artificial Intelligence". Frontiers in Physiology 13 (2022): http://www.scopus.com/inward/record.url?eid=2-s2.0-85130884262&partnerID=MN8TOARS.
    10.3389/fphys.2022.917001
  6. Sibeijn, M.; Pequito, S.. "A time-reversed model selection approach to time series forecasting". Scientific Reports 12 1 (2022): http://www.scopus.com/inward/record.url?eid=2-s2.0-85132983883&partnerID=MN8TOARS.
    10.1038/s41598-022-15120-x
  7. Reed, E.; Chatterjee, S.; Ramos, G.; Bogdan, P.; Pequito, S.. "Fractional cyber-neural systems — A brief survey". Annual Reviews in Control 54 (2022): 386-408. http://www.scopus.com/inward/record.url?eid=2-s2.0-85133845224&partnerID=MN8TOARS.
    10.1016/j.arcontrol.2022.06.002
  8. Reed, E.A.; Ramos, G.; Bogdan, P.; Pequito, S.. "Minimum structural sensor placement for switched linear time-invariant systems and unknown inputs". Automatica 146 (2022): http://www.scopus.com/inward/record.url?eid=2-s2.0-85137831259&partnerID=MN8TOARS.
    10.1016/j.automatica.2022.110557
  9. Chatterjee, S.; Romero, O.; Pequito, S.. "Analysis of a generalised expectation–maximisation algorithm for Gaussian mixture models: a control systems perspective". International Journal of Control 95 10 (2022): 2734-2742. http://www.scopus.com/inward/record.url?eid=2-s2.0-85106708129&partnerID=MN8TOARS.
    10.1080/00207179.2021.1931964
  10. Ashourvan, A.; Pequito, S.; Bertolero, M.; Kim, J.Z.; Bassett, D.S.; Litt, B.. "External drivers of BOLD signal’s non-stationarity". PLoS ONE 17 9 Septembe (2022): http://www.scopus.com/inward/record.url?eid=2-s2.0-85138459001&partnerID=MN8TOARS.
    10.1371/journal.pone.0257580
  11. Ramos, G.; Aguiar, A.P.; Pequito, S.. "An overview of structural systems theory". Automatica 140 (2022): http://www.scopus.com/inward/record.url?eid=2-s2.0-85126657881&partnerID=MN8TOARS.
    10.1016/j.automatica.2022.110229
  12. Pequito, S.; Nozari, E.; Pasqualetti, F.. "Special Section on Analysis and control design for neurodynamics". Annual Reviews in Control 54 (2022): 324-326. http://www.scopus.com/inward/record.url?eid=2-s2.0-85139731234&partnerID=MN8TOARS.
    10.1016/j.arcontrol.2022.09.007
  13. Bansal, I.R.; Ashourvan, A.; Bertolero, M.; Bassett, D.S.; Pequito, S.. "Model-based stationarity filtering of long-term memory data applied to resting-state blood-oxygen-level-dependent signal". PLoS ONE 17 7 July (2022): http://www.scopus.com/inward/record.url?eid=2-s2.0-85135024172&partnerID=MN8TOARS.
    10.1371/journal.pone.0268752
  14. Chatterjee, S.; Das, S.; Pequito, S.. "NEO: NEuro-Inspired Optimization—A Fractional Time Series Approach". Frontiers in Physiology 12 (2021): http://www.scopus.com/inward/record.url?eid=2-s2.0-85116575607&partnerID=MN8TOARS.
    10.3389/fphys.2021.724044
  15. Ferreira, P.L.; Santos, F.C.; Pequito, S.. "Risk sensitivity and theory of mind in human coordination". PLoS Computational Biology 17 7 (2021): http://www.scopus.com/inward/record.url?eid=2-s2.0-85110551773&partnerID=MN8TOARS.
    10.1371/journal.pcbi.1009167
  16. Ramos, G.; Aguiar, A.P.; Pequito, S.. "Structurally quotient fixed modes". Systems and Control Letters 151 (2021): http://www.scopus.com/inward/record.url?eid=2-s2.0-85104068461&partnerID=MN8TOARS.
    10.1016/j.sysconle.2021.104914
  17. Li, J.; Chen, X.; Pequito, S.; Pappas, G.J.; Preciado, V.M.. "On the Structural Target Controllability of Undirected Networks". IEEE Transactions on Automatic Control 66 10 (2021): 4836-4843. http://www.scopus.com/inward/record.url?eid=2-s2.0-85097389856&partnerID=MN8TOARS.
    10.1109/TAC.2020.3041420
  18. Romero, O.; Pequito, S.. "Corrigendum for 'Actuator Placement for Symmetric Structural Controllability with Heterogeneous Costs'". IEEE Control Systems Letters 5 4 (2021): 1175-1176. http://www.scopus.com/inward/record.url?eid=2-s2.0-85091258205&partnerID=MN8TOARS.
    10.1109/LCSYS.2020.3018685
  19. Ashourvan, A.; Pequito, S.; Khambhati, A.N.; Mikhail, F.; Baldassano, S.N.; Davis, K.A.; Lucas, T.H.; et al. "Model-based design for seizure control by stimulation". Journal of Neural Engineering 17 2 (2020): http://www.scopus.com/inward/record.url?eid=2-s2.0-85082542259&partnerID=MN8TOARS.
    10.1088/1741-2552/ab7a4e
  20. Alessandretti, A.; Pequito, S.; Pappas, G.J.; Aguiar, A.P.. "Finite-dimensional control of linear discrete-time fractional-order systems". Automatica 115 (2020): http://www.scopus.com/inward/record.url?eid=2-s2.0-85079345443&partnerID=MN8TOARS.
    10.1016/j.automatica.2019.108512
  21. Duque Schumacher, A.G.; Pequito, S.; Pazour, J.. "Industrial hemp fiber: A sustainable and economical alternative to cotton". Journal of Cleaner Production 268 (2020): http://www.scopus.com/inward/record.url?eid=2-s2.0-85085275441&partnerID=MN8TOARS.
    10.1016/j.jclepro.2020.122180
  22. Kyriakis, P.; Pequito, S.; Bogdan, P.. "On the effects of memory and topology on the controllability of complex dynamical networks". Scientific Reports 10 1 (2020): http://www.scopus.com/inward/record.url?eid=2-s2.0-85092574624&partnerID=MN8TOARS.
    10.1038/s41598-020-74269-5
  23. Chatterjee, S.; Romero, O.; Ashourvan, A.; Pequito, S.. "Fractional-order model predictive control as a framework for electrical neurostimulation in epilepsy". Journal of Neural Engineering 17 6 (2020): http://www.scopus.com/inward/record.url?eid=2-s2.0-85104285888&partnerID=MN8TOARS.
    10.1088/1741-2552/abc740
  24. Ramos, G.; Pequito, S.. "Generating complex networks with time-tocontrol communities". PLoS ONE 15 8 August (2020): http://www.scopus.com/inward/record.url?eid=2-s2.0-85089408274&partnerID=MN8TOARS.
    10.1371/journal.pone.0236753
  25. Becker, C.O.; Pequito, S.; Pappas, G.J.; Preciado, V.M.. "Network Design for Controllability Metrics". IEEE Transactions on Control of Network Systems 7 3 (2020): 1404-1415. http://www.scopus.com/inward/record.url?eid=2-s2.0-85091510718&partnerID=MN8TOARS.
    10.1109/TCNS.2020.2978118
  26. Chatterjee, S.; Romero, O.; Pequito, S.. "A separation principle for discrete-time fractional-order dynamical systems and its implications to closed-loop neurotechnology". IEEE Control Systems Letters 3 3 (2019): 691-696. http://www.scopus.com/inward/record.url?eid=2-s2.0-85066634585&partnerID=MN8TOARS.
    10.1109/LCSYS.2019.2917164
  27. Chen, X.; Pequito, S.; Pappas, G.J.; Preciado, V.M.. "Minimal edge addition for network controllability". IEEE Transactions on Control of Network Systems 6 1 (2019): 312-323. http://www.scopus.com/inward/record.url?eid=2-s2.0-85043456598&partnerID=MN8TOARS.
    10.1109/TCNS.2018.2814841
  28. Popli, N.; Pequito, S.; Kar, S.; Aguiar, A.P.; Ilic, M.. "Selective strong structural minimum-cost resilient co-design for regular descriptor linear systems". Automatica 102 (2019): 80-85. http://www.scopus.com/inward/record.url?eid=2-s2.0-85060193679&partnerID=MN8TOARS.
    10.1016/j.automatica.2018.12.032
  29. Pequito, S.; Khorrami, F.; Krishnamurthy, P.; Pappas, G.J.. "Analysis and Design of Actuation-Sensing-Communication Interconnection Structures Toward Secured/Resilient LTI Closed-Loop Systems". IEEE Transactions on Control of Network Systems 6 2 (2019): 667-678. http://www.scopus.com/inward/record.url?eid=2-s2.0-85052639022&partnerID=MN8TOARS.
    10.1109/TCNS.2018.2867415
  30. Popli, N.; Pequito, S.; Kar, S.; Aguiar, A.P.; Ilic, M.. "Corrigendum to “Selective strong structural minimum-cost resilient co-design for regular descriptor linear systems” [Automatica 102 (2019) 80–85](S0005109818306393)(10.1016/j.automatica.2018.12.032)". Automatica 107 (2019): 612-612. http://www.scopus.com/inward/record.url?eid=2-s2.0-85066396934&partnerID=MN8TOARS.
    10.1016/j.automatica.2019.05.036
  31. Ramos, G.; Pequito, S.; Caleiro, C.. "On the index of convergence of a class of Boolean matrices with structural properties". International Journal of Control (2019): http://www.scopus.com/inward/record.url?eid=2-s2.0-85071160755&partnerID=MN8TOARS.
    10.1080/00207179.2019.1656822
  32. Cao, Q.; Ramos, G.; Bogdan, P.; Pequito, S.. "THE ACTUATION SPECTRUM of SPATIOTEMPORAL NETWORKS with POWER-LAW TIME DEPENDENCIES". Advances in Complex Systems 22 7-8 (2019): http://www.scopus.com/inward/record.url?eid=2-s2.0-85081614080&partnerID=MN8TOARS.
    10.1142/S0219525919500231
  33. Kruzick, S.; Pequito, S.; Kar, S.; Moura, J.M.F.; Aguiar, A.P.. "Structurally Observable Distributed Networks of Agents under Cost and Robustness Constraints". IEEE Transactions on Signal and Information Processing over Networks 4 2 (2018): 236-247. http://www.scopus.com/inward/record.url?eid=2-s2.0-85046280924&partnerID=MN8TOARS.
    10.1109/TSIPN.2017.2681208
  34. Tzoumas, V.; Xue, Y.; Pequito, S.; Bogdan, P.; Pappas, G.J.. "Selecting Sensors in Biological Fractional-Order Systems". IEEE Transactions on Control of Network Systems 5 2 (2018): 709-721. http://www.scopus.com/inward/record.url?eid=2-s2.0-85042706704&partnerID=MN8TOARS.
    10.1109/TCNS.2018.2809959
  35. Romero, O.; Pequito, S.. "Actuator Placement for Symmetric Structural Controllability with Heterogeneous Costs". IEEE Control Systems Letters 2 4 (2018): 821-826. http://www.scopus.com/inward/record.url?eid=2-s2.0-85057644731&partnerID=MN8TOARS.
    10.1109/LCSYS.2018.2849550
  36. Becker, C.O.; Pequito, S.; Pappas, G.J.; Miller, M.B.; Grafton, S.T.; Bassett, D.S.; Preciado, V.M.. "Spectral mapping of brain functional connectivity from diffusion imaging". Scientific Reports 8 1 (2018): http://www.scopus.com/inward/record.url?eid=2-s2.0-85040985645&partnerID=MN8TOARS.
    10.1038/s41598-017-18769-x
  37. Carvalho, J.F.; Pequito, S.; Aguiar, A.P.; Kar, S.; Johansson, K.H.. "Composability and controllability of structural linear time-invariant systems: Distributed verification". Automatica 78 (2017): 123-134. http://www.scopus.com/inward/record.url?eid=2-s2.0-85010390682&partnerID=MN8TOARS.
    10.1016/j.automatica.2016.12.016
  38. Pequito, S.; Ramos, G.; Kar, S.; Aguiar, A.P.; Ramos, J.. "The robust minimal controllability problem". Automatica 82 (2017): 261-268. http://www.scopus.com/inward/record.url?eid=2-s2.0-85019559627&partnerID=MN8TOARS.
    10.1016/j.automatica.2017.04.053
  39. Pequito, S.; Preciado, V.M.; Barabási, A.-L.; Pappas, G.J.. "Corrigendum: Trade-offs between driving nodes and time-to-control in complex networks". Scientific reports 7 (2017): 43194-43194. http://www.scopus.com/inward/record.url?eid=2-s2.0-85076337374&partnerID=MN8TOARS.
    10.1038/srep43194
  40. Pequito, S.; Preciado, V.M.; Barabási, A.-L.; Pappas, G.J.. "Trade-offs between driving nodes and time-to-control in complex networks". Scientific Reports 7 (2017): http://www.scopus.com/inward/record.url?eid=2-s2.0-85008627492&partnerID=MN8TOARS.
    10.1038/srep39978
  41. Pequito, S.; Pappas, G.J.. "Structural minimum controllability problem for switched linear continuous-time systems". Automatica 78 (2017): 216-222. http://www.scopus.com/inward/record.url?eid=2-s2.0-85010420338&partnerID=MN8TOARS.
    10.1016/j.automatica.2016.12.039
  42. Pequito, S.; Kar, S.; Aguiar, A.P.. "Minimum cost input/output design for large-scale linear structural systems". Automatica 68 (2016): 384-391. http://www.scopus.com/inward/record.url?eid=2-s2.0-84960886648&partnerID=MN8TOARS.
    10.1016/j.automatica.2016.02.005
  43. Pequito, S.; Kar, S.; Aguiar, A.P.. "A Framework for Structural Input/Output and Control Configuration Selection in Large-Scale Systems". IEEE Transactions on Automatic Control 61 2 (2016): 303-318. http://www.scopus.com/inward/record.url?eid=2-s2.0-84962027107&partnerID=MN8TOARS.
    10.1109/TAC.2015.2437525
  44. Pequito, S.; Svacha, J.; Pappas, G.J.; Kumar, V.. "Sparsest minimum multiple-cost structural leader selection". IFAC-PapersOnLine 28 22 (2015): 144-149. http://www.scopus.com/inward/record.url?eid=2-s2.0-84992491361&partnerID=MN8TOARS.
    10.1016/ifacol.2015.10.321
  45. Pequito, S.; Kar, S.; Aguiar, A.P.. "On the complexity of the constrained input selection problem for structural linear systems". Automatica 62 (2015): 193-199. http://www.scopus.com/inward/record.url?eid=2-s2.0-84947705563&partnerID=MN8TOARS.
    10.1016/j.automatica.2015.06.022

Other

Other output
  1. Robust Multivariate Detection and Estimation with Fault Frequency Content Information. 2023. Dong, J.; Pan, K.; Pequito, S.; Esfahani, P.M.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85174993890&partnerID=MN8TOARS.
    10.48550/arXiv.2310.04922
  2. A scalable distributed dynamical systems approach to compute the strongly connected components and diameter of networks. 2021. Reed, E.A.; Ramos, G.; Bogdan, P.; Pequito, S.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85170859514&partnerID=MN8TOARS.
    10.48550/arxiv.2105.10229
  3. Distributed design of deterministic discrete-time privacy preserving average consensus for multi-agent systems through network augmentation. 2021. Ramos, G.; Pedro Aguiar, A.; Kar, S.; Pequito, S.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85171066621&partnerID=MN8TOARS.
    10.48550/arxiv.2112.09914
  4. External drivers of BOLD signal’s non-stationarity. 2021. Ashourvan, A.; Pequito, S.; Bertolero, M.; Kim, J.Z.; Bassett, D.S.; Litt, B.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85117787821&partnerID=MN8TOARS.
    10.1101/2021.09.07.459325
  5. Minimum jointly structural input and output selection for strongly connected networks. 2021. Ramos, G.; Pedro Aguiar, A.; Pequito, S.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85171071739&partnerID=MN8TOARS.
    10.48550/arxiv.2111.13449
  6. Discrete-time fractional-order dynamical networks minimum-energy state estimation. 2021. Chatterjee, S.; Alessandretti, A.; Aguiar, A.P.; Pequito, S.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85169226343&partnerID=MN8TOARS.
    10.48550/arxiv.2104.09409
  7. Fractional cyber-neural systems - a brief survey. 2021. Reed, E.; Chatterjee, S.; Ramos, G.; Bogdan, P.; Pequito, S.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85169941955&partnerID=MN8TOARS.
    10.48550/arxiv.2112.08535
  8. Minimum structural sensor placement for switched linear time-invariant systems and unknown inputs. 2021. Reed, E.A.; Ramos, G.; Bogdan, P.; Pequito, S.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85171070917&partnerID=MN8TOARS.
    10.48550/arxiv.2107.13493
  9. On learning discrete-time fractional-order dynamical systems. 2021. Chatterjee, S.; Pequito, S.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85170895818&partnerID=MN8TOARS.
    10.48550/arxiv.2103.14975
  10. Equilibrium Propagation for Complete Directed Neural Networks. 2020. Farinha, M.T.; Pequito, S.; Santos, P.A.; Figueiredo, M.A.T.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85170305055&partnerID=MN8TOARS.
    10.48550/arxiv.2006.08798
  11. A dynamical systems stability approach for convergence of the Bayesian EM algorithm. 2020. Romero, O.; Das, S.; Chen, P.-Y.; Pequito, S.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85171037080&partnerID=MN8TOARS.
    10.48550/arxiv.2006.12690
  12. Structural systems theory: An overview of the last 15 years. 2020. Ramos, G.; Aguiar, A.P.; Pequito, S.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85170584741&partnerID=MN8TOARS.
    10.48550/arxiv.2008.11223
  13. Fractional-order model predictive control for neurophysiological cyber-physical systems: A case study using transcranial magnetic stimulation. 2019. Romero, O.; Chatterjee, S.; Pequito, S.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85170794357&partnerID=MN8TOARS.
    10.48550/arxiv.1909.13398
  14. Network Design for Controllability Metrics. 2019. Becker, C.O.; Pequito, S.; Pappas, G.J.; Preciado, V.M.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85170753065&partnerID=MN8TOARS.
    10.48550/arxiv.1902.04195
  15. A separation principle for discrete-Time fractional-order dynamical systems and its implications to closed-loop neurotechnology. 2019. Chatterjee, S.; Romero, O.; Pequito, S.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85170116922&partnerID=MN8TOARS.
    10.48550/arxiv.1903.00981
  16. A dynamical systems framework to uncover the drivers of large-scale cortical activity. 2019. Ashourvan, A.; Pequito, S.; Bertolero, M.; Kim, J.Z.; Bassett, D.S.; Litt, B.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85095622621&partnerID=MN8TOARS.
    10.1101/638718
  17. Finite-dimensional control of linear discrete-time fractional-order systems. 2019. Alessandretti, A.; Pequito, S.; Pappas, G.J.; Pedro Aguiar, A.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85170982646&partnerID=MN8TOARS.
    10.48550/arxiv.1906.06673
  18. Analysis of a generalized expectation-maximization algorithm for Gaussian mixture models: A control systems perspective. 2019. Chatterjee, S.; Romero, O.; Pequito, S.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85170952554&partnerID=MN8TOARS.
    10.48550/arxiv.1903.00979
  19. Convergence of the expectation-maximization algorithm through discrete-time Lyapunov stability theory. 2018. Romero, O.; Chatterjee, S.; Pequito, S.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85170970297&partnerID=MN8TOARS.
    10.48550/arxiv.1810.02022
  20. Learning latent fractional dynamics with unknown unknowns. 2018. Gupta, G.; Pequito, S.; Bogdan, P.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85169721140&partnerID=MN8TOARS.
    10.48550/arxiv.1811.00703
  21. Re-thinking EEG-based non-invasive brain interfaces: Modeling and analysis. 2018. Guptå, G.; Pequito, S.; Bogdan˚, P.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85171086758&partnerID=MN8TOARS.
    10.48550/arxiv.1803.10318
  22. Dealing with Unknown Unknowns: Identification and Selection of Minimal Sensing for Fractional Dynamics with Unknown Inputs. 2018. Gupta, G.; Pequito, S.; Bogdan, P.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85170931795&partnerID=MN8TOARS.
    10.48550/arxiv.1803.04866
  23. Approximate submodular functions and performance guarantees. 2018. Gupta, G.; Pequito, S.; Bogdan, P.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85170322989&partnerID=MN8TOARS.
    10.48550/arxiv.1806.06323
  24. On the limited communication analysis and design for decentralized estimation. 2018. Alexandru, A.B.; Pequito, S.; Jadbabaie, A.; Pappas, G.J.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85169957010&partnerID=MN8TOARS.
    10.48550/arxiv.1801.05849
  25. Resilient Structural Stabilizability of Undirected Networks. 2018. Li, J.; Chen, X.; Pequito, S.; Pappas, G.J.; Preciado, V.M.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85170718123&partnerID=MN8TOARS.
    10.48550/arxiv.1810.00126
  26. Dealing with state estimation in fractional-order systems under artifacts. 2018. Chatterjee, S.; Pequito, S.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85171092233&partnerID=MN8TOARS.
    10.48550/arxiv.1810.00902
  27. Structural target controllability of undirected networks. 2018. Li, J.; Chen, X.; Pequito, S.; Pappas, G.J.; Preciado, V.M.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85170442008&partnerID=MN8TOARS.
    10.48550/arxiv.1809.06773
  28. Selective strong structural minimum cost resilient co-design for regular descriptor linear systems. 2017. Popli, N.; Pequito, S.; Kar, S.; Pedro Aguiar, A.; Ilic, M.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85169212309&partnerID=MN8TOARS.
    10.48550/arxiv.1704.01157
  29. Structurally observable distributed networks of agents under cost and robustness constraints. 2017. Kruzick, S.; Pequito, S.; Kar, S.; Moura, J.M.F.; Pedro Aguiar, A.. http://www.scopus.com/inward/record.url?eid=2-s2.0-85170763880&partnerID=MN8TOARS.
    10.48550/arxiv.1702.02597
  30. Parsing spatiotemporal dynamical stability in ECoG during seizure onset, propagation, and termination. 2017. Ashourvan, A.; Pequito, S.; Khambhati, A.N.; Baldassano, S.N.; Davis, K.A.; Lucas, T.; Vettel, J.M.; et al. http://www.scopus.com/inward/record.url?eid=2-s2.0-85170950151&partnerID=MN8TOARS.
    10.48550/arxiv.1706.08202
Activities

Supervision

Thesis Title
Role 		Degree Subject (Type)
Institution / Organization
2023/09/01 - Current Closing the loop in real-time cyber-neural systems
Supervisor
 Automatic Control (PhD)
Uppsala Universitet, Sweden
2022/01/01 - Current Distributed control of heating plants
Co-supervisor
Technische Universiteit Delft, Netherlands
2021/01/01 - Current Spatiotemporal properties and characteristics of neural data
Co-supervisor
University of Southern California, United States
2023/01/01 - 2023/09/15 Design, analysis and applications of fractional proportional-integrative-derivative controller
Supervisor
Uppsala Universitet, Sweden
2021/09/01 - 2023/08/31 Optimization-based Approaches for Fault Detection and Estimation with applications to health-monitoring of energy systems
Co-supervisor
Technische Universiteit Delft, Netherlands
2020/01/01 - 2023/07/15 Cyber-fractional systems and their applications in epilepsy
Supervisor
University of Southern California, United States
2021/07/01 - 2023/06/30 Spike-sorting under stimulation artifacts
Supervisor
Technische Universiteit Delft, Netherlands
2023/01/01 - 2023/06/15 Stabilization of Multi-Hop Control Networks Subject to Malicious Attacks
Supervisor
Uppsala Universitet, Sweden
2023/01/01 - 2023/05/31 Control perspective on distributed optimization
Supervisor
Uppsala Universitet, Sweden
2022/09/01 - 2023/04/15 Closed-loop control of smart digestible medical pills
Co-supervisor
Technische Universiteit Delft, Netherlands
2020/01/01 - 2022/12/31 Structural systems and their applications
Supervisor
Universidade do Porto Faculdade de Engenharia, Portugal
2022/01/01 - 2022/12/15 A dynamic systems approach for studying meditation
Supervisor
Technische Universiteit Delft, Netherlands
2021/01/01 - 2021/11/15 A systems approach for monitoring anesthesia
Supervisor
Technische Universiteit Delft, Netherlands
2021/01/01 - 2021/10/31 Fractional-Order model predictive control applied to electrical neurostimulation in pain treatment
Supervisor
Technische Universiteit Delft, Netherlands
2021/01/01 - 2021/09/15 A time-reversed model selection approach for time-series forecasting
Supervisor
Technische Universiteit Delft, Netherlands
2021/01/01 - 2021/07/31 Spatiotemporal model-based filtering of resting-state blood-oxygen-level-dependent signal
Supervisor
Technische Universiteit Delft, Netherlands
2018/01/01 - 2021/07/15 Analysis and Design of Closed-loop Fractional-order Systems and its Applications to Neurotechnology
Supervisor
 Electrical and computer engineering (PhD)
Rensselaer Polytechnic Institute, United States
2020/01/01 - 2020/08/15 Optimal sensor and actuator selection: algorithms and performance guarantees
Supervisor
Rensselaer Polytechnic Institute, United States
2013/01/01 - 2013/12/31 Structural hybrid systems
Supervisor

Mentoring / Tutoring

Topic Student name
2021/08/15 - 2021/12/31 Optimization of lunar lander control system using reinforcement learning Rik de Haan
2021/08/15 - 2021/12/31 Optimization of lunar lander control system using reinforcement learning Marc Blom
2021/08/15 - 2021/12/31 Optimization of lunar lander control system using reinforcement learning Rens van der Geest
2021/08/15 - 2021/12/31 Optimization of lunar lander control system using reinforcement learning Femke de Ridder
2021/08/15 - 2021/12/31 Optimization of lunar lander control system using reinforcement learning Obbe J. Ordelman
2018/08/15 - 2020/12/31 Re-thinking fast-fashion industry and materials towards sustainability Ana Gabriela Duque
2019/08/15 - 2020/07/31 Controlling Lego-Robots using brainwave predictions Andrew Chafy
2019/08/15 - 2019/12/31 Developing new prediction schemes for brain-computer interfaces John Kongtcheu
2019/08/15 - 2019/12/31 Re-thinking statistics in engineering programs -- Introduction to data science in engineering Sami Laput
2019/08/15 - 2019/12/31 Re-thinking statistics in engineering programs -- Introduction to data science in engineering Aleisha Ramos
2018/08/15 - 2019/12/31 Re-thinking statistics in engineering programs -- Introduction to data science in engineering Danielle Rodriguez
2019/01/01 - 2019/09/15 A structural approach to the control, design, and analysis of networked dynamical systems Jingqi Li
2019/02/01 - 2019/05/31 The Fall of Homo Economicus: The Role of Cognitive Biases and Theory of Mind in Human Coordination Pedro Ferreira
2019/02/01 - 2019/05/31 Complete Directed Graph Equilibrium Propagation: Searching for a Biologically Plausible Model for Neural Networks Matilde Farinha
2018/08/15 - 2018/12/31 Modeling and Control using Bifurcation Theory Daniel Cellic
2018/08/15 - 2018/12/31 Assessing Epilepsy Dynamics Sarah Haslam
2018/01/01 - 2018/07/31 Quantifying Alertness Chuizheng Kong
2018/01/01 - 2018/05/31 Structural and functional dependencies in Alzheimer's disease Tianrui (Elizabeth) Wang
2017/08/01 - 2017/12/31 Insights on Neurotechnology from a CPS perspective Emily Stiklickas
2016/06/01 - 2016/08/31 A data-driven coupled Epileptor: quantifying the qualitative behavior of epileptic seizures Brianna Gallo
2015/08/17 - 2015/12/31 A data-driven coupled Epileptor: quantifying the qualitative behavior of epileptic seizures Rachel Warren
2015/08/17 - 2015/12/31 On the interplay between micro-mesoscopic dynamic epileptic networks Colin Luzzi
2015/01/01 - 2015/12/31 Distributed Verification of Structural Controllability João Carvalho
Distinctions

Award

2016 American Automatic Control Council, O. Hugo Schuck Award (Theory Category)
2012 Phi Kappa Phi, Love of Learning Award
2012 Electrical & Computer Engineering Outstanding Teaching Assistant Award, Carnegie Mellon University
2009 Second prize for the best students of the Technical University of Lisbon
2009 CLUSTER prize

Title

2023 Docent
Uppsala Universitet, Sweden

Other distinction

2023 Royal Swedish Academy of Engineering Sciences 100 List 2023
2023 European Laboratory for Learning and Intelligent Systems (ELLiS) Research Scholar
2019 Trustees Faculty Achievement, Rensselaer Polytechnic Institute
2018 Trustees Faculty Achievement, Rensselaer Polytechnic Institute
2016 European Embedded Control Institute (EECI), European PhD Award on Control for Complex and Heterogeneous Systems (finalist)
2012 Carnegie Mellon University Graduate Teaching Award (university-wide) [Honorable Mention]
2012 Phi Kappa Phi member (Carnegie Mellon Chapter)
2009 Best student paper award finalist at 48th Conference on Decision and Control