Journal Papers (* equal contribution)
updated Dec 14, 2020
Submitted
| | | | | | | Guilherme Ramos, A. Pedro Aguiar, and Sérgio Pequito
Structural Systems Theory: an overview of the last 15 years
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| | | Pedro Ferreira, Francisco A. Santos, and Sérgio Pequito
Risk sensitivity and theory of mind in human coordination |
| | | Sarthak Chatterjee, Orlando Romero, and Sérgio Pequito
Analysis of Generalized Expectation-Maximization for Gaussian Mixture Models:
A Control Systems Perspective
[ArXiv] |
| | | Gaurav Gupta, Sérgio Pequito, and Paul Bogdan
Approximate Submodular Functions and Performance Guarantees [ArXiv][BibTex]
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In Press
| | | Guilherme Ramos, A. Pedro Aguiar, and Sérgio Pequito
Structurally quotient fixed modes
Systems & Control Letters [Elsevier] |
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| | | | Sarthak Chatterjee, Orlando Romero, Arian Ashourvan, and Sérgio Pequito
Fractional-order model predictive control as a framework for electrical neurostimulation in epilepsy
Journal of Neural Engineering, 2020
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| | | Jingqi Li, Ximing Chen, Sérgio Pequito, George J. Pappas, and Victor Preciado
On the Structural Target Controllability and Optimal Topology Design of Undirected Networks
IEEE Transactions on Automatic Control, 2020
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| | | Panagiotis Kyriakis, Sérgio Pequito, and Paul Bogdan
On the Effects of Memory and Topology on the Controllability of Complex Dynamical Networks
Scientific Reports, 2020
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| | | Guilherme Ramos and Sérgio Pequito
Generating complex networks with time-to-control communities
PLoS One, 2020
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| | | Ana Duque, Sérgio Pequito, and Jennifer Pazour
Towards Green Fashion Design: A Systems Engineer Perspective
Journal of Cleaner Production, 2020
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| | | Qi Cao, Guilherme Ramos, Paul Bogdan, and Sérgio Pequito
On the actuation spectrum of spatiotemporal networks with power-law time dependencies
Special Issue on Network Dynamics and Control,
Advances in Complex Systems, 2020
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| | | Cassiano O. Becker, Sérgio Pequito, George J. Pappas, and Victor M. Preciado
Network Design for Controllability Metrics
IEEE Transactions on Control of Network Systems, 2020
[ArXiv][IEEE] |
| | | Arian Ashourvan, Sérgio Pequito, Ankit N. Khambhati, Steven N. Baldassano, Kathryn A. Davis, Timothy Lucas, Jean M. Vettel, Brian Litt, George J. Pappas, and Danielle S. Bassett
Model-based design for seizure control by stimulation,
Journal of Neural Engineering, 2020
[ArXiv][IOP] |
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| Andrea Alessandretti, Sérgio Pequito, George J. Pappas, and A. Pedro Aguiar
On the finite-dimentional control of discrete-time fractional order systems,
Automatica, 2020 |
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Guilherme Ramos, Sérgio Pequito, and Carlos Caleiro
On the index of convergence of Boolean matrices,
International Journal of Control, 2019 [TandFonline][BibTex]
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Sarthak Chatterjee, Orlando Romero, and Sérgio Pequito
A Separation Principle for Discrete-Time Fractional-Order Dynamical Systems and its Implications to Closed-loop Neurotechnology
IEEE Control Systems Letters, 2019
[ArXiv][IEEE]
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Sérgio Pequito, Farshad Khorrami, Prashanth Krishnamurthy, and George J. Pappas
Analysis and Design of Actuation-Sensing-Communication Interconnection Structures towards Secured/Resilient Closed-loop Systems
IEEE Transactions on Control of Network Systems, 2018
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Orlando Romero and Sérgio Pequito
Actuator Placement for Symmetric Structural Controllability with Heterogeneous Costs
IEEE Control Systems Letters, 2018
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Nipun Popli*, Sérgio Pequito*, Soummya Kar, A. Pedro Aguiar, and Marija Ilic
Selective Strong Structural Minimum Cost Resilient Co-Design for Regular Descriptor Linear Systems
Automatica, 2018
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Vasileios Tzoumas, Yuankun Xue, Sérgio Pequito, Paul Bogdan, and George J. Pappas
Selecting Sensors in Biological Fractional-Order Systems,
IEEE Transactions on Control of Network Systems
Special issue on Approaches to Control Biological and Biologically Inspired Networks, 2018
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Ximing Chen, Sérgio Pequito, George J. Pappas, and Victor Preciado
Minimal Edge Addition for Network Controllability
IEEE Transactions on Control of Network Systems, 2018
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Cassiano Becker*, Sérgio Pequito*, George J. Pappas, Michael B. Miller, Scott F.
Grafton, Danielle Bassett, and Victor M. Preciado,
Accurately Predicting Functional Connectivity from Diffusion Imaging
Scientific Reports, January 2018
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Sérgio Pequito*, Guilherme Ramos*, Soummya Kar, A. Pedro Aguiar, and Jaime Ramos
The Robust Minimal Controllability Problem
Automatica, August 2017
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Stephen Kruzick, Sérgio Pequito, Soummya Kar, José M.F. Moura, and A. Pedro Aguiar
Structurally Observable Distributed Networks of Agents under Cost and Robustness Constraints
IEEE Transactions on Signal and Information Processing over Networks, April 2017
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Sérgio Pequito, Victor Preciado, Albert-László Barabási and George J. Pappas
Trade-offs between driving nodes and time-to-control in complex networks
Scientific Reports, January 2017
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Sérgio Pequito and George J. Pappas
Structural Minimum Controllability Problem for Linear Continuous-Time Switching Systems
Automatica, April 2017
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João Frederico Carvalho*, Sérgio Pequito*, A. Pedro Aguiar, Soummya Kar, and Karl Johansson
Composability and controllability of structural linear time-invariant systems: Distributed verification
Automatica, April 2017
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Sérgio Pequito, Soummya Kar, and A. Pedro Aguiar
Minimum cost input/output design for large-scale linear structural systems
Automatica, June 2016
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Sérgio Pequito, Soummya Kar, and A. Pedro Aguiar
On the Complexity of the Constrained Input Selection Problem for Structural Linear Systems
Automatica, December 2015
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Sérgio Pequito, Soummya Kar and A. Pedro Aguiar
A Framework for Structural Input/Output and Control Configuration Selection of Large-Scale Systems
IEEE Transactions on Automatic Control, February 2016
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Conference Papers (* equal contribution)
updated April 3, 2020
Published
| | | Panagiotis Kyriakis, Sérgio Pequito, and Paul Bogdan
On the Stability and Fairness of Submodular Allocations
in Proc. of the 59th IEEE Conference on Decision and Control, 2020
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| | | Matilde T. Farinha, Sérgio Pequito, Pedro Santos, and Mario T. Figueiredo
Equilibrium propagation in complete direct graphs,
in the Proc. of the 2020 European Symposium on Artificial Neural Networks |
| | | Panagiotis Kyriakis, Sérgio Pequito, and Paul Bogdan
Actuator Placement for Heterogeneous Complex Dynamical Networks with Long-Term Memory
in Proc. of the 2020 American Control Conference
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| | | Orlando Romero, Sarthak Chatterjee, and Sérgio Pequito
Fractional-Order Model Predictive Control for Neurophysiological Cyber-Physical Systems: A Case Study using Transcranial Magnetic Stimulation
in Proc. of the 2020 American Control Conference
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| | | Sarthak Chatterjee, Orlando Romero, and Sérgio Pequito
A Separation Principle for Discrete-Time Fractional-Order Dynamical Systems and its Implications to Closed-loop Neurotechnology
in Proc. of the 58th IEEE Conference on Decision and Control, 2019
[IEEE][ArXiv] |
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| Jingqi Li, Ximing Chen, Sérgio Pequito, George J. Pappas, and Victor M. Preciado
Resilient Structural Stabilizability of Undirected Networks
in Proc. of the 2019 American Control Conference
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| | | Gaurav Gupta, Paul Bogdan, and Sérgio Pequito Learning Latent Fractional Dynamics with Unknown Unknowns in Proc. of the 2019 American Control Conference
[arXiv][BibTex] |
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Orlando Romero Rodrigues, Sarthak Chatterjee, and Sérgio Pequito
Convergence of the Expectation-Maximization Algorithm Through Discrete-Time Lyapunov Stability Theory
in Proc. of the 2019 American Control Conference
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Sarthak Chatterjee and Sérgio Pequito
Dealing with State Estimation in Fractional-Order Systems under Artifacts
in Proc. of the 2019 American Control Conference
[arXiv][BibTex]
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Orlando Romero and Sérgio Pequito
Actuator Placement for Symmetric Structural Controllability with Heterogeneous Costs
in Proc. of the 57th IEEE Conference on Decision and Control, 2018
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| | | Jingqi Li, Ximing Chen, Sérgio Pequito, George J. Pappas, and Victor Preciado
Structural Target Controllability of Undirected Networks
in Proc. of the 57th IEEE Conference on Decision and Control, 2018
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| | | Orlando Romero Rodrigues and Sérgio Pequito
Model-Based Sensor-Selection Submodular Optimization: Performance trade-offs,
INFORMS 2018 (abstract only)
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Orlando Romero Rodrigues and Sérgio Pequito,
Tight Near-optimality Guarantees for the Greedy Algorithm in Sensor Selection,
in Proc. of the 2018 IISE Annual Conference
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Guilherme Ramos, Sérgio Pequito, and Carlos Caleiro,
The robust minimal controllability problem for switched linear continuous-time systems,
in Proc. of the 2018 American Control Conference
[BibTex]
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Gaurav Gupta, Sérgio Pequito, and Paul Bogdan,
Dealing with Unknown Unknowns: Identification and Selection of Minimal Sensing for Fractional Dynamics with Unknown Inputs,
in Proc. of the 2018 American Control Conference
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Gaurav Gupta, Sérgio Pequito, and Paul Bogdan,
Re-thinking EEG-based non-invasive brain interfaces: modeling and analysis,
in Proc. of the 9th ACM/IEEE International Conference on Cyber-Physical System, 2018
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Anastasios Tsiamis, Sérgio Pequito, George Pappas
Distributed Leader Selection in Switching Networks of High-order Integrators,
in Proc. of the 55th Annual Allerton Conference on Communication, Control, and Computing, 2017
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Andreea B. Alexandru, Sérgio Pequito, Ali Jadbabaie, George J. Pappas
On the Limited Communication Analysis and Design for Decentralized Estimation,
in Proc. of the 56th IEEE Conference on Decision and Control, 2017
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Cassiano Becker, Sérgio Pequito, George Pappas, and Victor Preciado
Network Design for Controllability Metrics
in Proc. of the 56th IEEE Conference on Decision and Control, 2017
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Sérgio Pequito, Arian Ashourvan, Danielle Bassett, Brian Litt, and George J. Pappas
Spectral Control of Cortical Activity,
in Proc. of the 2017 American Control Conference
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Sérgio Pequito, Andrew Clark, and George J. Pappas
Discrete-time Fractional-order Multiple Scenario-based Sensor Selection,
in Proc. of the 2017 American Control Conference
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Cassiano Becker, Sérgio Pequito, George Pappas, and Victor Preciado
Approximation of Network Linear Operators using Similarity Shift Filters
in Proc. of the 4th IEEE Global Conference on Signal and Information Processing
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Yuankun Xue, Sérgio Pequito, Joana M. Coelho, Paul Bogdan, and George Pappas
Minimum Number of Sensors to Ensure Observability of Physiological Systems: a Case Study
in Proc. of the 54th Annual Allerton Conference on Communication, Control, and Computing
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Andreea B. Alexandru, Sérgio Pequito, Ali Jadbabaie, and George J. Pappas
Ensuring Decentralized Observability with Limited Communication between Sensors
in Proc. of the 55th IEEE Conference on Decision and Control
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Sérgio Pequito, Ankit N. Khambhati, George J. Pappas, Dragoslav D. Siljak,
Danielle Bassett, and Brian Litt
Structural Analysis and Design of Dynamic-Flow Networks: Implications in the Brain Dynamics,
in Proc. of the 2016 American Control Conference
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Sérgio Pequito, Paul Bogdan, and George J. Pappas
Minimum Number of Probes for Brain Dynamics Observability
in Proc. of the 54th IEEE Conference on Decision and Control
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Sérgio Pequito, Victor Preciado, and George J. Pappas
Distributed Leader Selection
in Proc. of the 54th IEEE Conference on Decision and Control
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João Frederico Carvalho, Sérgio Pequito, Pedro Aguiar, Soummya Kar, and George J. Pappas
Static Output Feedback: On Essential Feasible Information Patterns
in Proc. of the 54th IEEE Conference on Decision and Control
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Sérgio Pequito, James Svacha, George J. Pappas, and Vijay Kumar
Sparsest Minimum Multiple-Cost Structural Leader Selection
in Proc. of the 5th IFAC Workshop on Distributed Estimation and Control in Networked Systems
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Guilherme Ramos, Sérgio Pequito, A. Pedro Aguiar, Jaime Ramos, and Soummya Kar
Analysis and design of p-robustness power electric grid: A Structural Hybrid System Approach,
in Proc. of the 2015 European Control Conference, Linz, Austria
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Sérgio Pequito and George J. Pappas
Smart Building: A Private Cyber-Physical System Approach,
in Proc. of the Second International Workshop on the Swarm at the Edge of the Cloud (SWEC 2015), Seattle, Washington, in conjunction with CPSWeek
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Sérgio Pequito, Soummya Kar, and George J. Pappas
Minimum Cost Constrained Input-Output and Control Configuration Co-Design Problem: A Structural Systems Approach, in Proc. of the 2015 American Control Conference, Chicago
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Sérgio Pequito, Soummya Kar, and A. Pedro Aguiar
Minimum Number of Information Gatherers to Ensure Full Observability of a Dynamic Social
Network: A Structural Systems Approach,
in Proc. of theIEEE 2014 Global Conference on Signal and Information Processing, December 3-5, 2014. Atlanta, Georgia, USA
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Sérgio Pequito, Soummya Kar, Shreyas Sundaram, and A. Pedro Aguiar
Design of Communication Networks for Distributed Computation with Privacy Guarantees,
in Proc. of the 53nd IEEE Conference on Decision and Control, Los Angeles, US, Dec. 2014
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Pedro Rocha*, Sérgio Pequito*, A. Pedro Aguiar, Paula Rocha, and Soummya Kar
Sensor placement for real-time dynamic state estimation in power systems: Structural systems approach,
in Proc. of the Asilomar 2014, Pacific Grove, California, US, Nov. 2014
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Sérgio Pequito, Francisco Rego, Soummya Kar, A. Pedro Aguiar, António Pascoal, and Colin Jones Optimal Design of Observable Multi-Agent Networks: A Structural System Approach,
in Proc. of the 13th European Control Conference, Strasbourg, June 24-27, 2014
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Sérgio Pequito, Nipun Popli, Soummya Kar, Marija D. Ilic, and A. Pedro Aguiar
A Framework for Actuator Placement in Large Scale Power Systems: Minimal Strong Structural Controllability,
in Proc. of the 5th IEEE workshop on Computational Advances in Multi-Sensor Adaptive Processing, Saint Martin, Dec. 2013.
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Sérgio Pequito, Soummya Kar, and A. Pedro Aguiar
Minimum Cost Input-Output and Control Configuration Selection: A Structural Systems Approach,
in Proc. of the 52nd IEEE Conference on Decision and Control, Florence, Italy, Dec. 2013
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Guilherme Ramos, Sérgio Pequito, A. Pedro Aguiar, Jaime Ramos, and Soummya Kar
A Model Checking Framework for Linear Time Invariant Switching Systems using Structural Systems Analysis,
in Proc. of the 51st Annual Allerton Conference on Communication, Control, and Computing, University of Illinois at Urbana-Champaign, Illinois, USA, Oct. 2013.
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Sérgio Pequito, Clarence Agbi, Nipun Popli, Soummya Kar, A. Pedro Aguiar, and Marija Ilic
Designing Decentralized Control Systems without Structural Fixed Modes: A Multilayer Approach,
in Proc. of the 4th IFAC Workshop on Distributed Estimation and Control in Networked Systems, Koblenz, Germany, Sep. 2013.
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Xiaofei Liu, Sérgio Pequito, Soummya Kar, Yilin Mo, Bruno Sinopoli, and A. Pedro Aguiar
Minimum Robust Sensor Placement for Large Scale Linear Time-Invariant Systems: A Structured Systems Approach,
in Proc. of the 4th IFAC Workshop on Distributed Estimation and Control in Networked Systems, Koblenz, Germany, Sep. 2013.
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Sérgio Pequito, Stephen Kruzick, Soummya Kar, José M. F. Moura, and A. Pedro Aguiar
Optimal Design of Distributed Sensor Networks for Field Reconstruction,
in Proc. 21st European Signal Processing Conference, Marrakech, Marocco, Sep. 2013.
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Joya Deri, Sérgio Pequito, Soummya Kar, and José M.F. Moura
Identifying Small Subsets of Agents for Behavior Tracking and Abnormal Event Detection in Dynamic Networks,
in Proc. of the Workshop on Dynamic Networks Management and Mining 2013
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Sérgio Pequito, Soummya Kar, and A. Pedro Aguiar
Optimal Cost Actuator/Sensor Placement for Large Scale Linear Time-Invariant Systems: A Structured Systems Approach,
in Proc. of ECC’13 - European Control Conference, Zurich, Switzerland, Jul. 2013
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Sérgio Pequito, Soummya Kar, and A. Pedro Aguiar
A Structured Systems Approach for Optimal Actuator-Sensor Placement in Linear Time-Invariant Systems,
in Proc. of ACC’13 - American Control Conference, Washington, DC, Jun. 2013.
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Sérgio Pequito, Qixing Liu, Soummya Kar, and Marija Ilic
PMU Placement to Ensure Observable Frequency and Voltage Dynamics: A Structured System Approach,
in Proc. of the 36th Annual Hawaii International Conference on System Sciences, 2013 ,
pp. 2327-2336, 7-10 Jan. 2013
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Sérgio Pequito, A. Pedro Aguiar,B. Sinopoli, and Diogo A. Gomes
Unsupervised Learning of Finite Mixture using Mean Field Games,
in Proc. of the 9th Allerton Conference on Communication, Control and Computing, September 27-30, 2011, Illinois, US
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Sérgio Pequito, A. Pedro Aguiar, B. Sinopoli, and Diogo A. Gomes
Nonlinear Estimation using Mean Field Games,
in Proc. of the International Conference on NETwork Games, COntrol and Optimization, Netgcoop 2011, October 12-14, 2011, Paris, France
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Sérgio Pequito, A. Pedro Aguiar, and Diogo A. Gomes
The Entropy Penalized Minimum Energy Estimator,
in Proc. of the 48th IEEE Conference on Decision and Control, CDC 2009, combined with the 28th Chinese Control Conference, December 16-18, 2009, Shanghai, China
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Posters (* equal contribution)
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| Ana Duque, Jennifer Pazour, and Sérgio Pequito
Toward Green Fashion Design: A Systems Engineer’s Perspective,
INFORMS, Oct., 2019 |
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| Ana Duque, Jennifer Pazour, and Sérgio Pequito Toward Green Fashion Design: A Systems Engineer’s Perspective, RPI Research Symposium, Apr., 2019 (Best Poster Award) |
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| Arian Ashourvan, Sérgio Pequito, Maxwell Bertolero, Jason Z. Kim, Danielle S. Bassett, and Brian Litt
A dynamical systems framework to uncover the drivers of large-scale cortical activity
Organization for Human Brain Mapping (2019) |
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| O. Romero, Sérgio Pequito, S. Das, and P. Chen, A Dynamical and Control Systems Perspective Approach Towards Trustworthy Learning Systems, IBM AI Research Week, Cambridge MA, Sept., 2019 |
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| Arian Ashourvan, Sérgio Pequito, Ankit N. Khambhati, Steven N. Baldassano, Kathryn Davis, Timothy Lucas, Jean M. Vettel, Brian Litt, George J. Pappas, and Danielle S. Bassett
Parsing spatiotemporal dynamical stability in ECoG during seizure onset, propagation, and termination,
Society for Neuroscience, Nov., 2017
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| O. Romero and Sérgio Pequito
A Fractional-Order MPC Framework for
Electrical Neurostimulation in Epilepsy,
7th Minnesota Neuromodulation
Symposium, Minneapolis MN, Apr., 2019 |
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| O. Romero, S. Chaterjee, and Sérgio Pequito
From Dempster to Lyapunov: A Dynamical Systems Perspective,
IBM-RPI AI Research Collaboration Poster Social, RPI, Feb., 2019 |
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Arian Ashourvan, Sérgio Pequito, Ankit N. Khambhati, Steven N. Baldassano, Kathryn A. Davis, Timothy Lucas, Jean M. Vettel, Brian Litt, George J. Pappas, and Danielle S. Bassett
Parsing spatiotemporal dynamical stability in ECoG during seizure onset, propagation, and termination
American Epilepsy Society (2018) |
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Arian Ashourvan, Sérgio Pequito, Ankit N. Khambhati, Steven N. Baldassano, Kathryn
A. Davis, Timothy Lucas, Jean M. Vettel, Brian Litt, George J. Pappas, and Danielle S.
Bassett
Parsing spatiotemporal dynamical stability in ECoG during seizure onset, propagation, and termination
International Conference on Technology and Analysis for Seizures (2017)
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Arian Ashourvan, Sérgio Pequito, Ankit N. Khambhati, Steven N. Baldassano, Kathryn A. Davis, Timothy Lucas, Jean M. Vettel, Brian Litt, George J. Pappas, and Danielle S. Bassett
Parsing spatiotemporal dynamical stability in ECoG during seizure onset, propagation, and termination
ICTALS2017: Designing the next generation of closed-loop seizure control |
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Cassiano O. Becker, Sérgio Pequito, George J. Pappas, and Victor M. Preciado
Approximation of network linear operators using similarity shift filters
GlobalSIP 2016 |
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Cassiano O. Becker, Sérgio Pequito, George J. Pappas, Michael B. Miller, Scott T. Grafton, Danielle S. Bassett, and Victor M. Preciado
Using spectral graph theory to relate white matter with resting-state functional connectivity in the brain
DIG’s 8th Annual Research Symposium 2016 (Best Poster Award) |
Technical Reports (* equal contribution)
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| Ana Gabriela Duque, Sérgio Pequito, Joana Rosado Coelho
Revisiting statistical analysis curriculum in a data era: a learning-by-mistake approach
Technical Report, TU Delft
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Xiaofei Liu*, Sérgio Pequito*, Soummya Kar, Bruno Sinopoli and A. Pedro Aguiar
Minimum Sensor Placement for Robust Observability of Structured Complex Networks
Technical Report, Carnegie Mellon University
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Other Publications
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Sérgio Pequito
A Structural Approach to Design, Analysis, and Optimization of Large-Scale Dynamical Systems,
Ph.D. Dissertation, Department of Electrical and Computer Engineering,
Carnegie Mellon University, US & Instituto Superior Técnico, University of Lisbon, Portugal
July 2014
[summary]
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Sérgio Pequito
The Entropy Penalized Minimum Energy Estimator,
M.Sc. Thesis, Department of Mathematics
Instituto Superior Técnico, University of Lisbon, Portugal
July 2009
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Sérgio Pequito
The perceptron: from neural models to their computability
B.Sc. Final Project, Department of Mathematics
Instituto Superior Técnico, University of Lisbon, Portugal
July 2007
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Patents
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| Sarthak Chatterjee, Orlando Romero, and Sérgio Pequito
"Fractional-Order Model Predictive Control for Electrical Neurostimulation in Epilepsy"
Provisional patent filed in 2018 |
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Sérgio Pequito and George J. Pappas
"Neuroshaper for Treating Epilepsy"
Provisional patent filed (2015-2017)
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