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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/73484
Title: 
Stochastic exponential stability of singular linear systems with Markov jump parameters
Author(s): 
Institution: 
  • Universidade Estadual Paulista (UNESP)
  • Universidade de São Paulo (USP)
  • University of Braslia
Abstract: 
This paper deals with exponential stability of discrete-time singular systems with Markov jump parameters. We propose a set of coupled generalized Lyapunov equations (CGLE) that provides sufficient conditions to check this property for this class of systems. A method for solving the obtained CGLE is also presented, based on iterations of standard singular Lyapunov equations. We present also a numerical example to illustrate the effectiveness of the approach we are proposing.
Issue Date: 
8-Aug-2012
Citation: 
Proceedings of the IASTED International Conference on Control and Applications, CA 2012, p. 111-118.
Time Duration: 
111-118
Keywords: 
  • Markov chain
  • Singular systems
  • Stability
  • Stochastic systems
  • Discrete-time singular systems
  • Lyapunov equation
  • Markov jump parameter
  • Numerical example
  • Singular linear systems
  • Singular system
  • Stochastic exponential stabilities
  • Sufficient conditions
  • Convergence of numerical methods
  • Linear systems
  • Markov processes
  • Lyapunov functions
Source: 
http://dx.doi.org/10.2316/P.2012.781-042
URI: 
Access Rights: 
Acesso restrito
Type: 
outro
Source:
http://repositorio.unesp.br/handle/11449/73484
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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