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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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Mean-square data-based controller for nonlinear polynomial systems with multiplicative noise

TL;DR: This paper presents the mean-square optimal data-based quadratic-Gaussian controller for stochastic nonlinear polynomial systems with aPolynomial multiplicative noise, a linear control input, and a quadRatic criterion over linear observations.
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Adaptive reconfiguration scheme for flight control systems

TL;DR: In this article, a framework for actuator fault accommodation using a multiple-model-based direct adaptive control approach that does not include explicit fault detection and isolation is presented, which can increase robustness and provide stable adaptation of unknown faults.
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On an algebra of linguistic truth-valued intuitionistic lattice-valued logic

TL;DR: The results show that linguistic truth-valued intuitionistic fuzzy lattice is a residual lattice, but it is not MTL-algebra, R0- algebra, BL-al mathematics, MV-al algebra and quasi lattice implication algebra.
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Functional observer-based fuzzy controller design for continuous nonlinear systems

TL;DR: A novel method of synthesising controllers for nonlinear systems represented by Takagi--Sugeno fuzzy model using functional observer using minimum order observer for estimating the control input of each rule as a function of states is presented.
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Probing the structural pathway of conformational polymorph nucleation by comparing a series of α,ω-alkanedicarboxylic acids.

TL;DR: The relationships and distinctions among a series of diacids in polymorphic outcomes and solid/solution chemistry were utilized to reveal the conformational polymorph nucleation pathway: difficulty in desolvation has a remarkable effect on the result of rearrangement and nucleation outcome.