H
Hong Wang
Researcher at Northeastern University (China)
Publications - 561
Citations - 10554
Hong Wang is an academic researcher from Northeastern University (China). The author has contributed to research in topics: Nonlinear system & Probability density function. The author has an hindex of 47, co-authored 510 publications receiving 8952 citations. Previous affiliations of Hong Wang include Zhejiang University & Shenyang Institute of Automation.
Papers
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Journal ArticleDOI
Actuator fault diagnosis: an adaptive observer-based technique
Hong Wang,S. Daley +1 more
TL;DR: A novel approach for the fault diagnosis of actuators in known deterministic dynamic systems by using an adaptive observer technique under the assumption that the system state observer can be designed such that the observation error is strictly positive real (SPR).
Journal ArticleDOI
A fixed-time output feedback control scheme for double integrator systems ☆
TL;DR: A continuous output feedback control scheme rendering the closed-loop double integrator system globally stable in finite-time is presented and the efficiency of the proposed algorithms is illustrated by numerical simulations.
Journal ArticleDOI
A direct adaptive neural-network control for unknown nonlinear systems and its application
J. R. Noriega,Hong Wang +1 more
TL;DR: It is shown that the control signals obtained can also make the real system output close to the set point, and the applicability of the proposed method is demonstrated.
Book
Bounded Dynamic Stochastic Systems: Modelling and Control
TL;DR: Control of MIMO Stochastic Systems: Robustness and Stability, a Fundamental Control Law, and Preliminaries on B-splines artificial neural networks.
Journal ArticleDOI
Brief paper: On the use of adaptive updating rules for actuator and sensor fault diagnosis
Hong Wang,Zhen J. Huang,S. Daley +2 more
TL;DR: A novel approach is presented for the fault detection and diagnosis of faults in actuators and sensors via the use of adaptive updating rules, where a fixed observer is used to detect the fault whilst an adaptive diagnositic observer is constructed to diagnose the fault.