Welcome
Home

https://sites.google.com/site/pequitoswebpage/research
Research Description

https://sites.google.com/site/pequitoswebpage/teaching
Teaching

https://sites.google.com/site/pequitoswebpage/publications
Publications

https://sites.google.com/site/pequitoswebpage/curriculum-vitae
CV

Journal Papers 
(* equal contribution)

updated Feb 23, 2018

Submitted




 

J17

 Jingqi Li, Ximing Chen, Sérgio Pequito, George J. Pappas, and Victor Preciado
On the Structural Target Controllability and Optimal Topology Design of Undirected Networks


J16


 


Gaurav Gupta, Sérgio Pequito, Paul Bogdan, 
Approximate Submodular Functions and Performance Guarantees



J15


 


Andrea Alessandretti, Sérgio Pequito, George J. Pappas, A. Pedro Aguiar, 
On the finite-dimentional control of discrete-time fractional order systems




In Press



 

J14

 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


J13

 


Orlando Romero and Sérgio Pequito
Actuator Placement for Symmetric Structural Controllability with Heterogeneous Costs
IEEE Control Systems Letters



J12

 


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
to appear in Automatica



J11

 


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



J10

 


Ximing Chen, Sérgio Pequito, George J. Pappas, and Victor Preciado 
Minimal Edge Addition for Network Controllability
IEEE Transactions on Control of Network Systems



J9


 


Cassiano Becker*, Sérgio Pequito*, George J. Pappas, Michael B. Miller, Scott F.
Grafton, Daniell
e Bassett, and Victor M. Preciado, 
Accurately Predicting Functional Connectivity from Diffusion Imaging
Scientific Reports, January 2018




J8


 


Sérgio Pequito*, Guilherme Ramos*, Soummya Kar, A. Pedro Aguiar and Jaime Ramos
The Robust Minimal Controllability Problem
Automatica, August 2017


J7


 


Stephen Kruzick, Sérgio Pequito, Soummya Kar, José M.F. Moura, and A. Pedro Aguiar
Structurally Observable Distributed Networks of Agents u
nder Cost and Robustness Constraints
IEEE Transactions on Signal and Information Processing over Networks, April 2017



J6

 


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



J5


 


Sérgio Pequito, and George J. Pappas
Structural Minimum Controllability Problem for Linear Continuous-Time Switching Systems

Automatica, April 2017


J4


 


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



J3


 


Sérgio Pequito, Soummya Kar, and A. Pedro Aguiar
Minimum cost input/output design for large-scale linear structural systems
Automatica, June 2016


J2


 


Sérgio Pequito, Soummya Kar and A. Pedro Aguiar
On the Complexity of the Constrained Input Selection Problem for Structural Linear Systems

Automatica, December 2015


J1



 


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



Conference Papers (* equal contribution)

updated Feb 23, 2018


Upcoming Conferences

58th IEEE Conference on Decision and Control (Deadline: Marth 15th, 2019) [website]


Submitted




C40

 
Orlando Romero Rodrigues, Sarthak Chatterjee, and Sergio Pequito 
Convergence of the Expectation-Maximization Algorithm Through Discrete-Time Lyapunov Stability Theory


C39

Sarthak Chatterjee and Sergio Pequito 

Dealing with State Estimation in Fractional-Order Systems under Artifacts


[arXiv][BibTex]


C38


 


Orlando Romero Rodrigues and Sergio Pequito 
Model-Based Sensor-Selection Submodular Optimization: Performance trade-offs,
to appear in INFORMS 2018 (abstract only)




Published




C37

 
Orlando Romero Rodrigues, Sergio Pequito,
Tight Near-optimality Guarantees for the Greedy Algorithm in Sensor Selection,
in Proc. of the 2018 IISE Annual Conference


C36

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]


C35

 


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



C34

 


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


C33

 


Anastasios Tsiamis, Sérgio Pequito, George Pappas
Distributed Leader Selection in Switching Networks of High-order Integrators,
in Proc. of the 55th Annual Allerton Conference o
n Communication, Control, and Computing, 2017


C32

 


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


C31

 


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



C30

 


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


C29

 


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



C28

 


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



C27

 


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




C26

 


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



C25


 


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



C24


 


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


C23


 


Sérgio Pequito, Victor Preciado and George J. Pappas
Distributed Leader Selection
in Proc. of the 54th IEEE Conference on Decision and Control


C22


 


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


C21


 


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



C20


 


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


C19


 


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


C18


 


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


C17



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 the
IEEE 2014 Global Conference on Signal and Information Processing, December 3-5, 2014. Atlanta, Georgia, USA


C16



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



C15


 


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


C14


 


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


C13


 


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.


C12


 


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


C11


 


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.


C10


 


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.


C9


 


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.


C8


 


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.


C7


 


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


C6


 


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


C5


 


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.


C4


 


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



C3


 


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



C2


 


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


C1


 


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



Technical Reports (* equal contribution)






TR1

 


Xiaofei Liu*, Sérgio Pequito*, Soummya Kar, Bruno Sinopoli and A. Pedro Aguiar 
Minimum Sensor Placement for Robust Observability of Structured Complex Networks




Other Publications




D1


 


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]



T1


 


Sérgio Pequito
The Entropy Penalized Minimum Energy Estimator,
MSc Thesis, Department of Mathematics

Instituto Superior Técnico, University of Lisbon, Portugal
July 2009



F1


 


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


Patents





Pa1


 


Sérgio Pequito and George J. Pappas
"Neuroshaper for Treating Epilepsy"
Provisional patent filed



Welcome
Home

https://sites.google.com/site/pequitoswebpage/research
Research Description

https://sites.google.com/site/pequitoswebpage/teaching
Teaching

https://sites.google.com/site/pequitoswebpage/publications
Publications

https://sites.google.com/site/pequitoswebpage/curriculum-vitae
CV