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
Fault reconstruction for Markovian jump systems with iterative adaptive observer
TL;DR: This paper investigates the fault observer design problem for Markovian jump systems with simultaneous time-varying actuator efficiency factors, additive actuator and sensor faults and develops two types of adaptive observer methods to solve the investigated design problem.
Journal ArticleDOI
Stability analysis for discrete-time Markovian jump neural networks with mixed time-delays
TL;DR: The problem of delay-dependent stability analysis is investigated for discrete-time Markovian jump neural networks with mixed time-delays and a delay- dependent condition is derived for the addressed neural networks to be globally asymptotically stable.
Journal ArticleDOI
Robust reliable H∞ control for fuzzy systems with random delays and linear fractional uncertainties
TL;DR: A reliable robust H ∞ control design with an appropriate gain matrix has been derived to achieve the robust asymptotic stability of uncertain Takagi-Sugeno fuzzy systems with time-varying delays.
Journal ArticleDOI
Control design for a hypersonic aircraft using a switched linear parameter-varying system approach:
TL;DR: Simulation results for the generic hypersonic aircraft show the effectiveness of the proposed method and the advantages of the mode-dependent switching logic.
Journal ArticleDOI
Gain-Scheduled Worst-Case Control on Nonlinear Stochastic Systems Subject to Actuator Saturation and Unknown Information
Peng Shi,Yanyan Yin,Fei Liu +2 more
TL;DR: A method for designing continuous gain-scheduled worst-case controller for a class of stochastic nonlinear systems under actuator saturation and unknown information is proposed.