Journal Papers (* equal contribution)
updated July 7, 2019
Submitted
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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
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Cassiano O. Becker, Sérgio Pequito, George J. Pappas, and Victor M. Preciado
Network Design for Controllability Metrics
[ArXiv]
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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
[ArXiv]
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Guilherme Ramos, Sérgio Pequito, and Carlos Caleiro
On the index of convergence of Boolean matrices
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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, Danielle S. Bassett
Parsing spatiotemporal dynamical stability in ECoG during seizure onset, propagation, and termination
[ArXiv]
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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
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Gaurav Gupta, Sérgio Pequito, Paul Bogdan,
Approximate Submodular Functions and Performance Guarantees
[ArXiv][BibTex]
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In Press
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Andrea Alessandretti, Sérgio Pequito, George J. Pappas, A. Pedro Aguiar,
On the finite-dimentional control of discrete-time fractional order systems,
Automatica, 2019
[ArXiV][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
[IEEE][ArXiv]
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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 July 7, 2018
Upcoming Conferences
2020 American Control Conference (Deadline: September 23, 2019) [website]
Submitted
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Sarthak Chatterjee, Orlando Romero, and Sérgio Pequito
Analysis of Gradient-Based Expectation-Maximization-Like Algorithms via Integral Quadratic Constraints
[ArXiv]
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Published
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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 Sergio 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 Sergio 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 Sergio 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 Rodrigues and Sergio Pequito
Model-Based Sensor-Selection Submodular Optimization: Performance trade-offs,
INFORMS 2018 (abstract only)
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Orlando Romero Rodrigues, Sergio 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, Sergio Pequito, 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, Sergio Pequito, 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, 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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Arian Ashourvan, Sergio 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 terminationAmerican Epilepsy Society (2018) |
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Arian Ashourvan, Sergio 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, Sergio 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. PreciadoApproximation 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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Xiaofei Liu*, Sérgio Pequito*, Soummya Kar, Bruno Sinopoli and A. Pedro Aguiar
Minimum Sensor Placement for Robust Observability of Structured Complex Networks
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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,
PhD 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,
MSc 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
BSc Final Project, Department of Mathematics
Instituto Superior Técnico, University of Lisbon, Portugal
July 2007
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Patents
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Sérgio Pequito and George J. Pappas
"Neuroshaper for Treating Epilepsy"
Provisional patent filed
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