Estimating and control of Markov jump linear systems with partial observation of the operation mode.

Author(s)

André Marcorin de Oliveira

• Document type: Doctoral Thesis
• Press: São Paulo.
• Institution: Universidade de São Paulo (USP). Escola Politécnica (EP/BC)
• Defense date: 2018-11-29

Examining board members

Oswaldo Luiz do Valle Costa; Eduardo Fontoura Costa; José Claudio Geromel; Ricardo Paulino Marques; João Bosco Ribeiro do Val

• Advisor: Oswaldo Luiz do Valle Costa

Abstract

In this thesis, we present some contributions to the Markov jump linear systems theory in a context of partial information on the Markov chain. We consider that the state of the Markov chain cannot be measured, but instead there is only an observed variable that could model an asynchronous phenomenon between the application and the plant, or a simple fault detection and isolation device. In this formulation, we investigate the problem of designing controllers and filters depending only on the observed variable in the context of H2, H?, and mixed H2/H? control theory. Numerical examples and academic applications are presented for active-fault tolerant control systems and networked control systems. (AU)

• FAPESP's process: 15/09912-8 - Estimating and control of Markov jump linear systems with partial observation of the operation mode
• Grantee: André Marcorin de Oliveira
• Support Opportunities: Scholarships in Brazil - Doctorate