scispace - formally typeset
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
More filters
Journal ArticleDOI

Passivity-based control for uncertain stochastic jumping systems with mode-dependent round-trip time delays

TL;DR: This paper considers the passivity-based control problem for stochastic jumping systems with mode-dependent round-trip time-varying delays and norm-bounded parametric uncertainties by utilizing a novel Markovian switching Lyapunov functional and derives a delay-dependent passivity condition.
Journal ArticleDOI

Nonfragile Dissipative Synchronization for Markovian Memristive Neural Networks: A Gain-Scheduled Control Scheme

TL;DR: The dissipative synchronization control problem for Markovian jump memristive neural networks (MNNs) is addressed with fully considering the time-varying delays and the fragility problem in the process of implementing the gain-scheduled controller.
Journal ArticleDOI

Finite-Time Command Filtered Event-Triggered Adaptive Fuzzy Tracking Control for Stochastic Nonlinear Systems

TL;DR: The newly designed controller not only guarantees the property of finite-time convergence, but also reduces the communication burden from the controller to the actuator and proves the effectiveness of the proposed control method.
Journal ArticleDOI

Reliable Event-Triggered Asynchronous Extended Passive Control for Semi-Markov Jump Fuzzy Systems and Its Application

TL;DR: This paper is concerned with the reliable extended passive control problem for semi-Markov jump Takagi-Sugeno (T–S) fuzzy systems based on an event-triggered mechanism (ETM) and the superiority and availability of the developed design method are extensively described and validated via its application to a truck control model.
Journal ArticleDOI

Control of an uncertain fractional order economic system via adaptive sliding mode

TL;DR: This paper addresses the design of sliding mode controller (SMC) for an uncertain chaotic fractional order economic system and an adaptive SMC is designed in the case that the upper bound of the uncertainties is unknown.