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
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Stochastic stability analysis for 2-D Roesser systems with multiplicative noise
Choon Ki Ahn,Ligang Wu,Peng Shi +2 more
TL;DR: The robust stochastic stability analysis for two-dimensional (2-D) discrete state-multiplicative noisy systems (SMNSs) in the Roesser form is concerned with and a new sufficient condition under which linear discrete SMNSs are 2-D robustly stochastically stable is derived.
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Dissipativity-Based Sampled-Data Fuzzy Control Design and its Application to Truck-Trailer System
TL;DR: This paper is concerned with the problem of dissipative control for Takagi-Sugeno fuzzy systems under time-varying sampling with a known upper bound on the sampling intervals and a time-dependent Lyapunov-Krasovskii functional approach is proposed.
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Stability analysis and stabilization of 2-D switched systems under arbitrary and restricted switchings
TL;DR: In this paper, the problems of stability analysis and stabilization are investigated for discrete-time two-dimensional (2-D) switched systems, which are formulated by the well-known Fornasini-Marchesini local state-space model and the extended average dwell time technique combining with the piecewise Lyapunov function approach is developed.
Journal ArticleDOI
Neural-networked adaptive tracking control for switched nonlinear pure-feedback systems under arbitrary switching
Bin Jiang,Qikun Shen,Peng Shi +2 more
TL;DR: A robust adaptive neural-networked control scheme is proposed to guarantee that the resulting closed-loop system is asymptotically bounded with tracking error converging to a neighborhood of the origin.
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Robust H-infinity filtering for switched linear discrete-time systems with polytopic uncertainties
TL;DR: In this paper, a robust H∞ filtering for switched linear discrete-time systems with polytopic uncertainties is investigated, where a robust switched linear filter is designed such that the corresponding filtering error system achieves robust asymptotic stability and guarantees a prescribed H ∞ performance index.