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Sérgio Pequito
Sérgio Pequito
Institute for Systems and Robotics (ISR/IST), LARSyS, Instituto Superior Técnico, Univ Lisboa
Email verificata su tecnico.ulisboa.pt - Home page
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Citata da
Citata da
Anno
A Framework for Structural Input/Output and Control Configuration Selection in Large-Scale Systems
S Pequito, S Kar, AP Aguiar
IEEE Transactions on Automatic Control, 2016
2762016
Industrial hemp fiber: A sustainable and economical alternative to cotton
AGD Schumacher, S Pequito, J Pazour
Journal of Cleaner Production 268, 122180, 2020
2072020
Spectral mapping of brain functional connectivity from diffusion imaging
CO Becker, S Pequito, GJ Pappas, MB Miller, ST Grafton, DS Bassett, ...
Scientific reports 8 (1), 1-15, 2018
1112018
On the Complexity of the Constrained Input Selection Problem for Structural Linear Systems
S Pequito, S Kar, AP Aguiar
Automatica, 2015
852015
The Robust Minimal Controllability Problem
S Pequito, G Ramos, S Kar, AP Aguiar, J Ramos
Automatica 82, 261-268, 2017
812017
Minimum cost input/output design for large-scale linear structural systems
S Pequito, S Kar, AP Aguiar
Automatica 68, 384-391, 2016
802016
Design of Communication Networks for Distributed Computation with Privacy Guarantees
S Pequito, S Kar, S Sundaram, AP Aguiar
In the Proceedings of the 53rd IEEE Conference on Decision and Control, 2014
682014
An overview of structural systems theory
G Ramos, AP Aguiar, S Pequito
Automatica 140, 110229, 2022
62*2022
A structured systems approach for optimal actuator-sensor placement in linear time-invariant systems
S Pequito, S Kar, AP Aguiar
In the Proceedings of the 2013 American Control Conference, 6108-6113, 2013
592013
Dealing with unknown unknowns: Identification and selection of minimal sensing for fractional dynamics with unknown inputs
G Gupta, S Pequito, P Bogdan
2018 Annual American Control Conference (ACC), 2814-2820, 2018
512018
Re-thinking EEG-based non-invasive brain interfaces: modeling and analysis
G Gupta, S Pequito, P Bogdan
2018 ACM/IEEE 9th International Conference on Cyber-Physical Systems (ICCPS …, 2018
502018
Minimal edge addition for network controllability
X Chen, S Pequito, GJ Pappas, VM Preciado
IEEE Transactions on Control of Network Systems 6 (1), 312-323, 2019
492019
Composability and controllability of structural linear time-invariant systems: Distributed verification
JF Carvalho, S Pequito, AP Aguiar, S Kar, KH Johansson
Automatica 78, 123-134, 2017
472017
On the Structural Target Controllability of Undirected Networks
J Li, X Chen, S Pequito, GJ Pappas, VM Preciado
IEEE Transactions on Automatic Control, 2020
452020
Minimum number of sensors to ensure observability of physiological systems: A case study
Y Xue, S Pequito, JR Coelho, P Bogdan, GJ Pappas
2016 54th Annual Allerton Conference on Communication, Control, and …, 2016
442016
Minimum Cost Constrained Input-Output and Control Configuration Co-Design Problem: A Structural Systems Approach
S Pequito, S Kar, GJ Pappas
In the Proceedings of the 2015 American Control Conference, 2015
412015
Minimum Number of Probes for Brain Dynamics Observability
S Pequito, P Bogdan, GJ Pappas
In the Proceedings of the 54th IEEE Conference on Decision and Control, 2015
352015
Learning Latent Fractional dynamics with Unknown Unknowns
G Gupta, S Pequito, P Bogdan
2019 American Control Conference (ACC), 217-222, 2019
322019
Trade-offs between driving nodes and time-to-control in complex networks
S Pequito, VM Preciado, AL Barabási, GJ Pappas
Scientific reports 7 (1), 39978, 2017
322017
Selecting sensors in biological fractional-order systems
V Tzoumas, Y Xue, S Pequito, P Bogdan, GJ Pappas
IEEE Transactions on Control of Network Systems 5 (2), 709-721, 2018
292018
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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