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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Sliding mode control of continuous-time Markovian jump systems with digital data transmission
TL;DR: In this study, a novel quantized sliding mode control design method is developed to stabilize the closed-loop systems in the presence of both state and input quantization and unknown time-varying actuator faults.
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Deadbeat Dissipative FIR Filtering
TL;DR: By tuning the weighting parameters provided by the (Q, S, R)-α-dissipativity in the proposed DDFF, this paper presents H∞ and passive FIR filters in a unified framework and investigates ways of improving the ℓ2 stability, bounded- disturbance bounded-error stability, and robustness of FIR filters.
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Adaptive Neural Command Filtering Control for Nonlinear MIMO Systems With Saturation Input and Unknown Control Direction
TL;DR: A command filtered adaptive neural networks (NNs) control method is presented with regard to the MIMO systems by designing the virtual controllers and error compensation signals to conquer the shortcoming of the dynamic surface method.
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Discrete‐time H − ∕ H ∞ sensor fault detection observer design for nonlinear systems with parameter uncertainty
TL;DR: In this article, robust sensor fault detection observer (SFDO) design for uncertain and disturbed discrete-time Takagi-Sugeno (T-S) systems using H−−−√H √H√√ H√ √ H √∆∆H∞∆criterion is proposed.
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Weighted Fuzzy Spiking Neural P Systems
TL;DR: A weighted fuzzy backward reasoning algorithm, based on WFSN P systems, is developed, which can accomplish dynamic fuzzy reasoning of a rule-based system more flexibly and intelligently.