H
Hao Shen
Researcher at Anhui University of Technology
Publications - 296
Citations - 12245
Hao Shen is an academic researcher from Anhui University of Technology. The author has contributed to research in topics: Computer science & Control theory. The author has an hindex of 54, co-authored 225 publications receiving 8681 citations. Previous affiliations of Hao Shen include Nanjing University of Science and Technology & Yeungnam University.
Papers
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Extended Dissipative State Estimation for Markov Jump Neural Networks With Unreliable Links
TL;DR: The aim of this paper is to contribute with a Markov switching estimator design method, which ensures that the resulting error system is extended stochastically dissipative, in the simultaneous presences of packet dropouts and signal quantization stemmed from unreliable communication links.
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Slow State Variables Feedback Stabilization for Semi-Markov Jump Systems With Singular Perturbations
TL;DR: A new fairly comprehensive system model, semi-Markov jump system with singular perturbations, which is more general than Markov jump model is employed to describe the phenomena of random abrupt changes in structure and parameters of the systems.
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Dissipativity-Based Fuzzy Integral Sliding Mode Control of Continuous-Time T-S Fuzzy Systems
TL;DR: This paper is concerned with dissipativity-based fuzzy integral sliding mode control (FISMC) of continuous-time Takagi-Sugeno (T-S) fuzzy systems with matched/unmatched uncertainties and external disturbance, and an appropriate integral-type fuzzy switching surface is put forward.
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Finite-Time Event-Triggered $\mathcal{H}_{\infty }$ Control for T–S Fuzzy Markov Jump Systems
TL;DR: The aim of this paper is to synthesize a controller via an event-triggered communication scheme such that not only the resulting closed-loop system is finite-time bounded and satisfies a prescribed performance level, but also the communication burden is reduced.
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SMC Design for Robust Stabilization of Nonlinear Markovian Jump Singular Systems
TL;DR: A novel integral-type fuzzy sliding surface is put forward by taking the singular matrix and state-dependent projection matrix into account simultaneously, which is the key contribution of the note.