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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Observer-Based Finite-Time Adaptive Fuzzy Control with Prescribed Performance for Nonstrict-Feedback Nonlinear Systems
Guozeng Cui,Jinpeng Yu,Peng Shi +2 more
TL;DR: By integrating the prescribed performance control and command filter technique into backstepping recursive design, a finite-time adaptive output-feedback controller is constructed, and the stability of closed-loop system is strictly proved.
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Optimal PID-type fuzzy logic controller for a multi-input multi-output active magnetic bearing system
TL;DR: The experimental results show that the designed PID-type fuzzy controllers provide much superior performances than the linear on-board controllers while retaining lower profiles of control signals.
Journal ArticleDOI
Gain-Scheduled Robust Fault Detection on Time-Delay Stochastic Nonlinear Systems
Yanyan Yin,Peng Shi,Fei Liu +2 more
TL;DR: In this paper, a continuous gain-scheduled approach is employed to design continuous RFDFs on the entire nonlinear jump system, and a sufficient condition on the existence of RFDF is established in terms of linear matrix inequality techniques.
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Asynchronous Filtering for Markov Jump Neural Networks With Quantized Outputs
TL;DR: In this paper, an asynchronous filter is proposed for Markov jump neural networks (NNs) with time delay and quantized measurements where a logarithmic quantizer is employed.
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New stability and stabilization conditions for systems with time-delay
TL;DR: By the so-called lifting method, time-delay systems are transformed into delay-free systems such that simple necessary and sufficient conditions have been developed for the stability analysis of systems with constant delays.