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
Finite-time command filtered backstepping control for a class of nonlinear systems
Jinpeng Yu,Peng Shi,Lin Zhao +2 more
TL;DR: A novel finite-time command filtered backstepping approach is proposed by using the new virtual control signals and the modified error compensation signals, which not only has the advantages of the conventional command-filtered backstepped control, but also guarantees the finite- time convergent property.
Journal ArticleDOI
Technical communique: Sliding mode control with bounded L 2 gain performance of Markovian jump singular time-delay systems
Ligang Wu,Xiaojie Su,Peng Shi +2 more
TL;DR: This paper investigates the problem of sliding mode control (SMC) of Markovian jump singular time-delay systems and proposes a delay-dependent bounded real lemma and an SMC law to improve the transient performance of the SMC system.
Journal ArticleDOI
Stability, ${l}_{2}$ -Gain and Asynchronous ${H}_{{\infty}}$ Control of Discrete-Time Switched Systems With Average Dwell Time
Lixian Zhang,Peng Shi +1 more
TL;DR: The stability and l 2-gain problems for a class of discrete-time switched systems with average dwell time (ADT) switching are investigated by allowing the Lyapunov-like functions to increase during the running time of subsystems to facilitate the studies on the issue of asynchronous control.
Journal ArticleDOI
Fault Detection Filtering for Nonlinear Switched Stochastic Systems
TL;DR: The fault detection filtering problem is solved for nonlinear switched stochastic system in the T-S fuzzy framework and the fuzzy-parameter-dependent fault detection filters are designed that guarantee the resulted error system to be mean-square exponential stable with a weighted H∞ error performance.
Journal ArticleDOI
A New Approach to Stability Analysis and Stabilization of Discrete-Time T-S Fuzzy Time-Varying Delay Systems
TL;DR: This paper investigates the problems of stability analysis and stabilization for a class of discrete-time Takagi-Sugeno fuzzy systems with time-varying state delay with a novel fuzzy Lyapunov-Krasovskii functional and proposes a delay partitioning method.