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
Incipient fault diagnosis for T–S fuzzy systems with application to high-speed railway traction devices
Yunkai Wu,Bin Jiang,Peng Shi +2 more
TL;DR: This study addresses the problem of incipient fault detection and diagnosis for Takagi–Sugeno (T–S) fuzzy systems and explores further results of total measurable fault information residual (ToMFIR).
Journal ArticleDOI
Sliding mode fault-tolerant control of uncertain system: a delta operator approach
TL;DR: A novel-adaptive fault-tolerant sliding mode control law is deigned such that the resulting closed loop delta operator system is finite-time convergence and the actuator faults can be tolerated, simultaneously.
Journal ArticleDOI
Neural network adaptive dynamic sliding mode formation control of multi-agent systems
Yang Fei,Peng Shi,Cheng-Chew Lim +2 more
TL;DR: A novel adaptive dynamic sliding mode scheme is developed to control a group of agents to follow desired trajectories to achieve time-varying formation for second-order multi-agent systems with actuator hysteresis, unknown system dynamics and external disturbances.
Journal ArticleDOI
Nonlinear H¿ Method for Control of Wing Rock Motions
Journal ArticleDOI
A Fault Diagnosis Method of Power Systems Based on an Improved Adaptive Fuzzy Spiking Neural P Systems and PSO Algorithms
TL;DR: A new fault diagnosis method based on improved Adaptive fuzzy spiking neural P systems and Particle swarm optimization algorithm is presented to improve the efficiency and accuracy of diagnosis for power systems in this paper.