Control and State Estimation of Networked Dynamical Systems

• Grant number: 12/02781-7
• Support type: Scholarships in Brazil - Doctorate
• Effective date (Start): June 01, 2012
• Effective date (End): April 30, 2015
• Field of knowledge: Engineering - Electrical Engineering - Industrial Electronics, Electronic Systems and Controls
• Principal researcher: José Claudio Geromel
• Grantee: Matheus Souza
• Home Institution: Faculdade de Engenharia Elétrica e de Computação (FEEC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
• Associated scholarship(s): 13/00447-5 - Control and State Estimation for networked dynamical systems, BE.EP.DR

Abstract

In order to relax the structure and to reduce implementation costs of control systems, communication networks are employed as a central component of present architectures. Due to this practical concern, this research project has as its main goal the study of control and state estimation of networked dynamical systems, with bandwidth limitations on the communication channel. The analysis is focused on the development of optimal control results and of self-triggered control design techniques. Practical problems will be solved in order to validate the applicability of the obtained strategies.

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)

SOUZA, M.; GEROMEL, J. C.; COLANERI, P.; SHORTEN, R. N.. Discretisation of sparse linear systems: An optimisation approach. SYSTEMS & CONTROL LETTERS, v. 80, p. 42-49, JUN 2015. (12/02781-7)

GEROMEL, JOSE C.; SOUZA, MATHEUS. On an LMI approach to optimal sampled-data state feedback control design. International Journal of Control, v. 88, n. 11, p. 2369-2379, NOV 2 2015. (12/02781-7)

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

SOUZA, Matheus. Contribution to sample-data systems theory: analysis, control and estimation. 2015. Doctoral Thesis - Universidade Estadual de Campinas (UNICAMP). Faculdade de Engenharia Elétrica e de Computação Campinas, SP.