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Markov jump systems control throw communication networks

Grant number: 12/23634-2
Support type:Scholarships in Brazil - Doctorate
Effective date (Start): August 01, 2013
Effective date (End): July 31, 2016
Field of knowledge:Engineering - Electrical Engineering - Industrial Electronics, Electronic Systems and Controls
Principal Investigator:José Claudio Geromel
Grantee:Gabriela Werner Gabriel
Home Institution: Faculdade de Engenharia Elétrica e de Computação (FEEC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil


Many studies have been developed to make possible the use of control theories where the controller, sensors and actuators are interconnected through a communication network. The main goal of this research project is to address simultaneously the bandwidth limitations and the packet dropout inherent to the communication channel used. The analysis will focus on theoretical elements of Markov Jumps Linear Systems and Sampled-Data Systems, such as stability conditions, H-2 and H-infinite performance indices and optimal control problems. Another goal is to evaluate the practical implementation of the developed controllers in real networks.

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)
GABRIEL, G. W.; GEROMEL, J. C.; GRIGORIADIS, K. M. Optimal H-infinity state feedback sampled-data control design for Markov jump linear systems. International Journal of Control, v. 91, n. 7, p. 1609-1619, 2018. Web of Science Citations: 2.
GEROMEL, JOSE C.; GABRIEL, GABRIELA W. Optimal H-2 state feedback sampled-data control design of Markov Jump Linear Systems. AUTOMATICA, v. 54, p. 182-188, APR 2015. Web of Science Citations: 38.
Academic Publications
(References retrieved automatically from State of São Paulo Research Institutions)
GABRIEL, Gabriela Werner. Controle amostrado ótimo de sistemas lineares com saltos markovianos através de realimentação de estados. 2016. Doctoral Thesis - Universidade Estadual de Campinas (UNICAMP). Faculdade de Engenharia Elétrica e de Computação.

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