P
Peng Shi
Researcher at University of Adelaide
Publications - 1601
Citations - 80441
Peng Shi is an academic researcher from University of Adelaide. The author has contributed to research in topics: Control theory & Nonlinear system. The author has an hindex of 137, co-authored 1371 publications receiving 65195 citations. Previous affiliations of Peng Shi include Harbin Engineering University & Harbin University of Science and Technology.
Papers
More filters
Journal ArticleDOI
Asynchronous H∞ filtering of discrete-time switched systems
Magdi S. Mahmoud,Peng Shi +1 more
TL;DR: It is established that the proposed Lyapunov-like functions facilitates the mode-dependent design since the unmatched filters are allowed to perform in the interval of asynchronous switching before the matched ones are applied.
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Network-based event-triggered filtering for Markovian jump systems
TL;DR: A sufficient condition is derived to guarantee that the resulting filtering error system is stochastically stable with a prescribed performance index and a co-design method for the H∞ filter and the event-triggered scheme is proposed.
Journal ArticleDOI
Observer-based fault-tolerant control for a class of networked control systems with transfer delays
TL;DR: An observer-based FTC scheme using the delayed state information and the estimated fault value is presented to guarantee the stability of the faulty systems.
Journal ArticleDOI
Observer‐based H ∞ control on nonhomogeneous Markov jump systems with nonlinear input
TL;DR: In this paper, the authors considered the problem of observer-based H∞∞-controller design for a class of discrete-time nonhomogeneous Markov jump systems with nonlinear input.
Journal ArticleDOI
Two-Dimensional Peak-to-Peak Filtering for Stochastic Fornasini–Marchesini Systems
TL;DR: A novel sufficient condition is established, which guarantees that the underlying FM LSS system is stochastically mean-square stable with 2-D stochastic peak-to-peak performance, and a new 2- D stochastics peak- to-peak filter of general form is designed for FM L SS systems with state-multiplicative noise.