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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Input-to-State Stability for Nonlinear Systems With Large Delay Periods Based on Switching Techniques
TL;DR: The conditions of nonlinear matrix inequalities (NLMIs) are proposed to guarantee the ISS properties of such a system and an example of a series DC motor is given to show the effectiveness of the proposed methods.
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Robust adaptive control for greenhouse climate using neural networks
TL;DR: In this paper, a robust adaptive neural network (NN)-based feedback linearization controller design for greenhouse climate system is presented, which provides fast and accurate tracking of varying set-points, but also guarantees asymptotic tracking even if there are inherent approximation errors.
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Distributed $H_\infty$ Estimation in Sensor Networks With Two-Channel Stochastic Attacks
TL;DR: Based on sensors’ own measurements and their neighbors’ local information, a novel distributed estimation model against two-channel stochastic attacks is presented and the distributed estimator gains are designed by solving a linear matrix inequality.
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Model Reduction of Markovian Jump Systems With Uncertain Probabilities
TL;DR: Under this framework, a new sufficient condition is proposed to ensure that the augmented system is stochastically mean-square stable with a specified level of $H_\infty$ performance.
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Sensor Fault Estimation and Compensation for Microsatellite Attitude Control Systems
TL;DR: In this paper, the problem of sensor fault estimation and compensation for microsatellite attitude dynamics is investigated by using a descriptor system approach, based on a linear model of micro-satellite dynamics, an augmented descriptor system is constructed by letting the sensor fault term be an auxiliary state vector.