Sérgio Daniel Pequito

Orcid: 0000-0002-5143-1543

Affiliations:
  • Uppsala University, Sweden
  • Carnegie Mellon University, Pittsburgh, PA, USA (former)


According to our database1, Sérgio Daniel Pequito authored at least 92 papers between 2009 and 2024.

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Bibliography

2024
Privacy-Preserving Average Consensus Through Network Augmentation.
IEEE Trans. Autom. Control., October, 2024

Battery Identification With Cubic Spline and Moving Horizon Estimation for Mobile Robots.
IEEE Trans. Control. Syst. Technol., September, 2024

Logarithmically Quantized Distributed Optimization Over Dynamic Multi-Agent Networks.
IEEE Control. Syst. Lett., 2024

Minimum jointly structural input and output selection.
Autom., 2024

2023
Designing communication networks for discrete-time consensus for performance and privacy guarantees.
Syst. Control. Lett., October, 2023

A Scalable Distributed Dynamical Systems Approach to Learn the Strongly Connected Components and Diameter of Networks.
IEEE Trans. Autom. Control., May, 2023

Discrete-Time Fractional-Order Dynamical Networks Minimum-Energy State Estimation.
IEEE Trans. Control. Netw. Syst., March, 2023

Robust Multivariate Detection and Estimation with Fault Frequency Content Information.
CoRR, 2023

On the Trade-Offs Between Accuracy, Privacy, and Resilience in Average Consensus Algorithms.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Mitigating Epilepsy by Stabilizing Linear Fractional-Order Systems.
Proceedings of the American Control Conference, 2023

2022
Analysis of a generalised expectation-maximisation algorithm for Gaussian mixture models: a control systems perspective.
Int. J. Control, 2022

Minimum structural sensor placement for switched linear time-invariant systems and unknown inputs.
Autom., 2022

An overview of structural systems theory.
Autom., 2022

Fractional cyber-neural systems - A brief survey.
Annu. Rev. Control., 2022

Special Section on Analysis and control design for neurodynamics.
Annu. Rev. Control., 2022

On Learning Discrete-Time Fractional-Order Dynamical Systems.
Proceedings of the American Control Conference, 2022

2021
On the Structural Target Controllability of Undirected Networks.
IEEE Trans. Autom. Control., 2021

Structurally quotient fixed modes.
Syst. Control. Lett., 2021

Risk sensitivity and theory of mind in human coordination.
PLoS Comput. Biol., 2021

On the index of convergence of a class of Boolean matrices with structural properties.
Int. J. Control, 2021

Corrigendum for "Actuator Placement for Symmetric Structural Controllability With Heterogeneous Costs".
IEEE Control. Syst. Lett., 2021

Distributed design of deterministic discrete-time privacy preserving average consensus for multi-agent systems through network augmentation.
CoRR, 2021

Minimum jointly structural input and output selection for strongly connected networks.
CoRR, 2021

A scalable distributed dynamical systems approach to compute the strongly connected components and diameter of networks.
CoRR, 2021

Minimum-Energy Estimation for Discrete-Time Fractional-Order Dynamical Systems.
CoRR, 2021

On the Finite-Sample Complexity of System Identification in Temporally Homogeneous Discrete-Time Fractional-Order Dynamical Systems.
CoRR, 2021

IF: Iterative Fractional Optimization.
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

2020
Network Design for Controllability Metrics.
IEEE Trans. Control. Netw. Syst., 2020

Structural Systems Theory: an overview of the last 15 years.
CoRR, 2020

A Dynamical Systems Approach for Convergence of the Bayesian EM Algorithm.
CoRR, 2020

Finite-dimensional control of linear discrete-time fractional-order systems.
Autom., 2020

Equilibrium Propagation for Complete Directed Neural Networks.
Proceedings of the 28th European Symposium on Artificial Neural Networks, 2020

On the Stability and Fairness of Submodular Allocations.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Fractional-Order Model Predictive Control for Neurophysiological Cyber-Physical Systems: A Case Study using Transcranial Magnetic Stimulation.
Proceedings of the 2020 American Control Conference, 2020

Actuator Placement for Heterogeneous Complex Dynamical Networks with Long-Term Memory.
Proceedings of the 2020 American Control Conference, 2020

2019
Analysis and Design of Actuation-Sensing-Communication Interconnection Structures Toward Secured/Resilient LTI Closed-Loop Systems.
IEEE Trans. Control. Netw. Syst., 2019

Minimal Edge Addition for Network Controllability.
IEEE Trans. Control. Netw. Syst., 2019

A Separation Principle for Discrete-Time Fractional-Order Dynamical Systems and Its Implications to Closed-Loop Neurotechnology.
IEEE Control. Syst. Lett., 2019

Analysis of Gradient-Based Expectation-Maximization-Like Algorithms via Integral Quadratic Constraints.
CoRR, 2019

Corrigendum to "Selective strong structural minimum-cost resilient co-design for regular descriptor linear systems" [Automatica 102 (2019) 80-85].
Autom., 2019

Selective strong structural minimum-cost resilient co-design for regular descriptor linear systems.
Autom., 2019

The actuation spectrum of Spatiotemporal Networks with Power-Law Time Dependencies.
Adv. Complex Syst., 2019

Convergence of the Expectation-Maximization Algorithm Through Discrete-Time Lyapunov Stability Theory.
Proceedings of the 2019 American Control Conference, 2019

Resilient Structural Stabilizability of Undirected Networks.
Proceedings of the 2019 American Control Conference, 2019

Learning Latent Fractional dynamics with Unknown Unknowns.
Proceedings of the 2019 American Control Conference, 2019

Dealing with State Estimation in Fractional-Order Systems under Artifacts.
Proceedings of the 2019 American Control Conference, 2019

2018
Structurally Observable Distributed Networks of Agents Under Cost and Robustness Constraints.
IEEE Trans. Signal Inf. Process. over Networks, 2018

Selecting Sensors in Biological Fractional-Order Systems.
IEEE Trans. Control. Netw. Syst., 2018

Actuator Placement for Symmetric Structural Controllability With Heterogeneous Costs.
IEEE Control. Syst. Lett., 2018

Approximate Submodular Functions and Performance Guarantees.
CoRR, 2018

Re-thinking EEG-based non-invasive brain interfaces: modeling and analysis.
Proceedings of the 9th ACM/IEEE International Conference on Cyber-Physical Systems, 2018

The robust minimal controllability problem for switched linear continuous-time systems.
Proceedings of the 2018 Annual American Control Conference, 2018

Dealing with Unknown Unknowns: Identification and Selection of Minimal Sensing for Fractional Dynamics with Unknown Inputs.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
The robust minimal controllability problem.
Autom., 2017

Structural minimum controllability problem for switched linear continuous-time systems.
Autom., 2017

Composability and controllability of structural linear time-invariant systems: Distributed verification.
Autom., 2017

On the limited communication analysis and design for decentralized estimation.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Discrete-time fractional-order multiple scenario-based sensor selection.
Proceedings of the 2017 American Control Conference, 2017

Spectral control of cortical activity.
Proceedings of the 2017 American Control Conference, 2017

Distributed leader selection in switching networks of high-order integrators.
Proceedings of the 55th Annual Allerton Conference on Communication, 2017

2016
A Framework for Structural Input/Output and Control Configuration Selection in Large-Scale Systems.
IEEE Trans. Autom. Control., 2016

Minimum cost input/output design for large-scale linear structural systems.
Autom., 2016

Approximation of network linear operators using similarity shift filters.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Decentralized observability with limited communication between sensors.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Structural analysis and design of dynamic-flow networks: Implications in the brain dynamics.
Proceedings of the 2016 American Control Conference, 2016

Minimum number of sensors to ensure observability of physiological systems: A case study.
Proceedings of the 54th Annual Allerton Conference on Communication, 2016

2015
Structural Minimum Controllability Problem for Linear Continuous-Time Switching Systems.
CoRR, 2015

Analysis and Design of Secured/Resilient Closed-loop Control Systems.
CoRR, 2015

Minimum Sensor Placement for Robust Observability of Structured Complex Networks.
CoRR, 2015

Distributed Verification of Structural Controllability for Linear Time-Invariant Systems.
CoRR, 2015

On the complexity of the constrained input selection problem for structural linear systems.
Autom., 2015

Analysis and design of electric power grids with p-robustness guarantees using a structural hybrid system approach.
Proceedings of the 14th European Control Conference, 2015

Smart building: a private cyber-physical system approach.
Proceedings of the Second International Workshop on the Swarm at the Edge of the Cloud, 2015

Distributed leader selection.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Minimum number of probes for brain dynamics observability.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Static output feedback: On essential feasible information patterns.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Minimum cost constrained input-output and control configuration co-design problem: A structural systems approach.
Proceedings of the American Control Conference, 2015

2014
Minimum number of information gatherers to ensure full observability of a dynamic social network: A structural systems approach.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

Optimal design of observable multi-agent networks: A structural system approach.
Proceedings of the 13th European Control Conference, 2014

Design of communication networks for distributed computation with privacy guarantees.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Sensor placement for real-time dynamic state estimation in power systems: Structural systems approach.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013
Identifying small subsets of agents for behavior tracking and abnormal event detection in dynamic networks.
Proceedings of the Workshop on Dynamic Networks Management and Mining, 2013

PMU Placement to Ensure Observable Frequency and Voltage Dynamics: A Structured System Approach.
Proceedings of the 46th Hawaii International Conference on System Sciences, 2013

Optimal design of distributed sensor networks for field reconstruction.
Proceedings of the 21st European Signal Processing Conference, 2013

Optimal cost actuator/sensor placement for large scale linear time-invariant systems: A structured systems approach.
Proceedings of the 12th European Control Conference, 2013

Minimum cost input-output and control configuration selection: A structural systems approach.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

A framework for actuator placement in large scale power systems: Minimal strong structural controllability.
Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

A structured systems approach for optimal actuator-sensor placement in linear time-invariant systems.
Proceedings of the American Control Conference, 2013

A model checking framework for linear time invariant switching systems using structural systems analysis.
Proceedings of the 51st Annual Allerton Conference on Communication, 2013

2011
Nonlinear estimation using Mean Field Games.
Proceedings of the 5th International Conference on NETwork Games, COntrol and OPtimization, 2011

Unsupervised learning of finite mixture models using mean field games.
Proceedings of the 49th Annual Allerton Conference on Communication, 2011

2009
The entropy penalized minimum energy estimator.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009


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