Advanced search
Start date
Betweenand

Control and filtering of dynamic systems subject to abrupt and random variations

Abstract

This Research Proposal has the goal of studying Control Systems subject to stochastic variations. We consider that that dynamic is modified according to a Markov chain, which we call the mode of operation. Those systems are used, for instance, in modelling systems subject to abrupt and random faults during their operation. However, we consider that the mode of operation cannot be perfectly measured, but instead there exists a type of detector which provides to the Control System the only information regarding the main jump process of the plant. In this context, this project consider the design of Dynamic Output Feedback Controllers and Filters of continuous-time (and discrete-time) Markov jump linear systems through a multi-objective perspective by using, for instance, the l2-loo performance index, in which the peak of the controlled output is limited for an exogenous input of finite energy. Through our results, we aim at applications such as formation control for multiagent systems, as well as validating the results through simulations based on academic applications. (AU)

Articles published in Agência FAPESP Newsletter about the research grant:
Articles published in other media outlets (0 total):
More itemsLess items
VEICULO: TITULO (DATA)
VEICULO: TITULO (DATA)

Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
DE OLIVEIRA, ANDRE M.; COSTA, OSWALDO L., V; GABRIEL, GABRIELA W.; BARROS DOS SANTOS, SERGIO R.. Energy-to-Peak Reduced Order Filtering for Continuous-Time Markov Jump Linear Systems With Partial Information on the Jump Parameter. IEEE ACCESS, v. 10, p. 10-pg., . (21/13338-6, 14/50851-0, 20/15230-5)
DE OLIVEIRA, ANDRE M.; DOS SANTOS, SERGIO R. BARROS; COSTA, OSWALDO L. V.. Mixed Reduced-Order Filtering for Discrete-Time Markov Jump Linear Systems With Partial Information on the Jump Parameter. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, v. N/A, p. 12-pg., . (21/13338-6, 14/50851-0, 20/15230-5)
DE OLIVEIRA, ANDRE M.; COSTA, OSWALDO L., V; GABRIEL, GABRIELA W.; BARROS DOS SANTOS, SERGIO R.; IEEE. Energy-to-Peak Filtering for Continuous-Time Markov Jump Linear Systems with Partial Information on the Jump Parameter. 2022 IEEE 61ST CONFERENCE ON DECISION AND CONTROL (CDC), v. N/A, p. 6-pg., . (21/13338-6)

Please report errors in scientific publications list using this form.