J
Jing Wang
Researcher at Anhui University of Technology
Publications - 105
Citations - 2761
Jing Wang is an academic researcher from Anhui University of Technology. The author has contributed to research in topics: Computer science & Nonlinear system. The author has an hindex of 24, co-authored 70 publications receiving 1572 citations. Previous affiliations of Jing Wang include Northeastern University (China) & Linyi University.
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$\mathcal {H}_{\infty }$ Synchronization for Fuzzy Markov Jump Chaotic Systems With Piecewise-Constant Transition Probabilities Subject to PDT Switching Rule
TL;DR: This article investigates the nonfragile synchronization issue for a class of discrete-time Takagi–Sugeno (T–S) fuzzy Markov jump systems and concludes that the resulting synchronization error system is mean-square exponentially stable with a prescribed performance in the presence of actuator gain variations.
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Observer-based Sliding Mode Control for Networked Fuzzy Singularly Perturbed Systems Under Weighted Try-Once-Discard Protocol
TL;DR: To process the measurement output and schedule the transmission sequence for eliminating the communication burden, a logarithmic quantizer and a weighted try-once-discard protocol are synthesized, which can further improve the network bandwidth utilization in networked control systems.
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Extended Dissipative Control for Singularly Perturbed PDT Switched Systems and its Application
TL;DR: Using the slow-state feedback control method, sufficient conditions to ensure the global uniform exponential stability of the closed-loop PDT SPSSs are derived and a preferable decoupling method deriving the mode-dependent controller gains are given for the first time.
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Non-Fragile $H_{∞ }$ Synchronization for Markov Jump Singularly Perturbed Coupled Neural Networks Subject to Double-Layer Switching Regulation
TL;DR: In this paper, a novel double-layer switching regulation containing Markov chain and persistent dwell-time switching regulation (PDTSR) is used for singularly perturbed coupled neural networks (SPCNNs) affected by nonlinear constraints and gain uncertainties.
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Dissipative fault-tolerant control for nonlinear singular perturbed systems with Markov jumping parameters based on slow state feedback
TL;DR: The aim is to design an optimized slow state feedback controller such that the stability of MJSPSs is guaranteed even in faulty case, and the upper bound of singular perturbation parameter (SPP) ϵ is improved simultaneously.