Regional Pole Placement for Discrete-Time Systems Using Convex Approximations

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Data

2017-01-01

Autores

Wisniewski, Viviane Louzada
Yoshimura, Victor Leonardo
Assuncao, Edvaldo [UNESP]
Carvalho Teixeira, Marcelo Minhoto [UNESP]
IEEE

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Ieee

Resumo

This paper formulates the problem of allocating the closed loop poles of discrete-time systems in specific regions of the complex plane through state-feedback as a semi-definite optimization program. In order to handle the non-convex sets that arise from the minimum damping factor specification, a new inner approximation is proposed. Linear matrix inequalities (LMI) regions are used to define restrictions on the numerical algorithm. Finally, the method is compared to other alternatives and examples are given.

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2017 25th Mediterranean Conference On Control And Automation (med). New York: Ieee, p. 655-659, 2017.