Stabilization of Markovian Jump Systems With Quantized Input and Generally Uncertain Transition Rates

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초록

This study addresses the stabilization condition for Markovian jump systems with quantized input and generally uncertain transition rates. To stabilize Markovian jump systems with nonlinear inputs using only partial knowledge regarding to the transition rates, the proposed controller is designed as two control parts: a linear control part for stabilizing the system and a nonlinear control part for eliminating undesirable effects from the quantized input. Moreover, an appropriate weighting method, using lower and upper bounds of the partial transition rate, is employed to derive a less conservative stability condition. Finally, two numerical examples are provided to illustrate the effectiveness of the proposed controller.

키워드

Numerical stability; Symmetric matrices; Quantization (signal); Upper bound; Stability criteria; Licenses; Markov processes; Linear matrix inequality; Markovian jump system; quantized input; uncertain transition rate; H-INFINITY-CONTROL; OUTPUT-FEEDBACK CONTROL; LINEAR-SYSTEMS; INCOMPLETE KNOWLEDGE; STOCHASTIC STABILITY; DESIGN
제목
Stabilization of Markovian Jump Systems With Quantized Input and Generally Uncertain Transition Rates
저자
Lee, Won Il; Park, Bum Yong
DOI
10.1109/ACCESS.2021.3086504
발행일
2021
유형
Article
저널명
IEEE Access
권
9
페이지
83499 ~ 83506