H
Hongyan Yang
Researcher at Harbin Institute of Technology
Publications - 46
Citations - 1346
Hongyan Yang is an academic researcher from Harbin Institute of Technology. The author has contributed to research in topics: Computer science & Control theory. The author has an hindex of 12, co-authored 25 publications receiving 903 citations. Previous affiliations of Hongyan Yang include Beijing University of Technology & Bohai University.
Papers
More filters
Journal ArticleDOI
Adaptive Fuzzy Control of Strict-Feedback Nonlinear Time-Delay Systems With Unmodeled Dynamics
Shen Yin,Peng Shi,Hongyan Yang +2 more
TL;DR: An approximated-based adaptive fuzzy control approach with only one adaptive parameter is presented for a class of single input single output strict-feedback nonlinear systems in order to deal with phenomena like nonlinear uncertainties, unmodeled dynamics, dynamic disturbances, and unknown time delays.
Journal ArticleDOI
Sliding Mode Observer-Based FTC for Markovian Jump Systems With Actuator and Sensor Faults
TL;DR: In this paper, a sliding mode observer design scheme is proposed for a new descriptor augmented plant and it is shown that the stabilization of the overall closed-loop plant can be guaranteed by the proposed fault tolerant control (FTC) scheme.
Journal ArticleDOI
Adaptive Neural Control of Nonlinear Systems With Unknown Control Directions and Input Dead-Zone
TL;DR: A backstepping-based neural control algorithm is developed for nonstrict-feedback nonlinear systems with unmodeled dynamics, unknown control directions and actuator dead-zone, and the total number of adaptive laws is not greater than the order of control system.
Journal ArticleDOI
An Adaptive NN-Based Approach for Fault-Tolerant Control of Nonlinear Time-Varying Delay Systems With Unmodeled Dynamics
TL;DR: This paper presents an adaptive neural network (NN)-based fault-tolerant control approach for the compensation of actuator failures in nonlinear systems with time-varying delay that combines the Razumikhin lemma and a dynamic signal.
Journal ArticleDOI
Adaptive Fuzzy Fault-Tolerant Control for Markov Jump Systems With Additive and Multiplicative Actuator Faults
TL;DR: This article proposes a fault-tolerant compensation control approach against nonlinearity, simultaneous additive, and multiplicative actuator faults in Markov jump systems using the fuzzy logic system (FLS) to approximate the nonlinear functions, which have no available knowledge.