Sérgio Daniel Pequito

Office:

6.07

Academic Degree:

Ph.D.

Email:

sergio.pequito@gmail.com

Personal Page:

http://www.spequito.com/

Nationality:

PT

ORCID:

0000-0002-5143-1543

CienciaID:

5A17-B561-D32A

Google Scholar:

https://scholar.google.com/citations?user=yoLKYQgAAAAJ&hl=pt-PT&oi=ao

[1] CONAV – Cooperative Navigation and Control of Multiple Autonomous Vehicles – FCT [2011-02; 2014-01]

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[1] António Pascoal, António Pedro Aguiar, Sérgio Pequito, Francisco Rego, S. Kar, K. Jones “Optimal design of observable multi-agent networks: A structural system approach”, Prc. of ECC'14 – European Control Conference, Strasbourg, France, pp. 1536-1541, 2014
[2] Sérgio Pequito, S. Kar, António Pedro Aguiar “A Structured Systems Approach for Optimal Actuator-Sensor Placement in Linear Time-Invariant Systems”, Proc. of ACC 2013 – American Control Conference, Washington, D.C., USA, 2013 – PDF
[3] Sérgio Pequito, António Pedro Aguiar, S. Kar “Optimal Cost Actuator/Sensor Placement for Large Scale Linear Time-Invariant Systems: A Structured Systems Approach”, Proc. of ECC 2013 – European Control Conference, Zurich, Switzerland, 2013 – PDF
[4] Sérgio Pequito, S. Kruzick, S. Kar, J. M. Moura, António Pedro Aguiar “Optimal Design of Distributed Sensor Networks for Field Reconstruction”, Proc. of EUSIPCO 2013 – 21st European Signal Processing Conference, Marrakech, Maroc, 2013 – PDF
[5] Sérgio Pequito, António Pedro Aguiar, B. Sinopoli, D. A. Gomes “Nonlinear Estimation using Mean Field Games”, Proc. of NetGCooP 2011 International Conference on Network Games, Control and Optimization, Paris, France, 2011
[6] Sérgio Pequito, António Pedro Aguiar, B. Sinopoli, D. A. Gomes “Unsupervised Learning of Finite Mixture Models using Mean Field Games”, Proc. of ALLERTON 2011 – 49th Annual Allerton Conference on Communication, Control, and Computing, University of Illinois, Urbana-Champaign, USA, 2011
[7] Sérgio Pequito, António Pedro Aguiar, D. Gomes “The Entropy Penalized Minimum Energy Estimator”, Proc. of CDC 2009 – 48th IEEE Conference on Decision and Control, Shanghai, China, 2009
[1] Sérgio Pequito “A Structural Approach to Design, Analysis and Optimization of Large-Scale Dynamical Systems”, Ph.D. Thesis, within the IST-CMU Joint Doctoral Initiative, July, 2014
[1] Sérgio Pequito “The Entropy Penalized Minimum Energy Estimator”, Master Thesis, Instituto Superior Tecnico, Universidade Tecnica de Lisboa, 2009

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