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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Delay-dependent robust stabilization for uncertain stochastic switching systems with distributed delays†
TL;DR: The purpose is to design a memory controller, which guarantees that the resulting closed-loop system is mean-square asymptotically stable, and a delay-dependent condition is proposed and a robust memory controller is designed.
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Adaptive sliding mode output tracking control based-FODOB for a class of uncertain fractional-order nonlinear time-delayed systems
TL;DR: An adaptive sliding mode control (ASMC) method, based on fractional-order disturbance-observer (FODOB), is presented for a class of fractiona-order nonlinear time-delay systems (FONTDS) with uncertainties to solve the target output tracking problem.
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Delay-dependent robust dissipativity conditions for delayed neural networks with random uncertainties
TL;DR: This paper deals with the problem of the robust dissipativity analysis for delayed neural networks with randomly occurring uncertainties by using reciprocally convex approach combined with an extended Wirtinger inequality to be stochastically strictly (Q,S,R)- ?
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On input-to-state stability of impulsive stochastic systems
TL;DR: It is proved that impulsive stochastic systems possessing SISS-Lyapunov functions are uniformly SISS and p-ISS over a certain class of impulse sequences.
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Extended state observer-based adaptive prescribed performance control for a class of nonlinear systems with full-state constraints and uncertainties
TL;DR: An extended state observer-based adaptive prescribed performance control technique is proposed for a class of nonlinear systems with full-state constraints and uncertainties and the boundedness of all signals in the closed-loop system is proved and asymptotic tracking can be realized if the disturbances are time-invariant.