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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.

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ℋ︁∞ output feedback control design for discrete‐time fuzzy systems

TL;DR: In this paper, the relaxed non-quadratic stability conditions, fuzzy observer designs and ∞ controller designs for discrete-time Takagi-Sugeno fuzzy systems based on a relaxed approach in which fuzzy Lyapunov functions are used.
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Weighted differential evolution-based heuristic computing for identification of Hammerstein systems in electrically stimulated muscle modeling

TL;DR: Weighted differential evolution (WDE)-based evolutionary heuristic computing is presented for parameter estimation of nonlinear dynamics of the electrically stimulated muscle system based on a Hammerstein model structure as an element of rehabilitation program for the stroke patient.
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Uncover the effect of solvent and temperature on solid-liquid equilibrium behavior of l-norvaline

TL;DR: The solid-liquid equilibrium (SLE) of l -norvaline in three different binary solvents, including water+methanol, water+ethanol and water+2-propanol, was determined by employing a gravimetric method over temperatures from 283.15 to 318.15 K as discussed by the authors, and the experimental solubility was well correlated by the modified Apelblat equation, λh equation, and NRTL model, with the maximum ARD % values: 1.89, 3.48, and 6.42
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Novel LMI-based stability and stabilization analysis on impulsive switched system with time delays

TL;DR: First, a novel Razumikhin function is constructed; then based on LMI approach and optimization techniques, it is derived with good properties and extended to the case with perturbations.
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Transient Distribution of the Length of GI/G/N Queueing Systems

TL;DR: In this article, the backward equations of Markov skeleton processes were applied to GI/G/N queueing systems and the transient distribution of the length of the GI/g/n queueing system was obtained.