Reduced-Order High-Gain Observer (ROHGO)-Based Neural Tracking Control for Random Nonlinear Systems With Output Delay-Reference-Cited by-同舟云学术

Reduced-Order High-Gain Observer (ROHGO)-Based Neural Tracking Control for Random Nonlinear Systems With Output Delay

Published:2022-12 Issue:12 Volume:52 Page:7507-7515
ISSN:2168-2216
Container-title:IEEE Transactions on Systems, Man, and Cybernetics: Systems
language:
Short-container-title:IEEE Trans. Syst. Man Cybern, Syst.

Author:

Xi Ruipeng¹^ORCID,Zhang Huaguang²^ORCID,Sun Shaoxin³^ORCID,Wang Yingchun¹^ORCID

Affiliation:

1. School of Information Science and Engineering, Northeastern University, Shenyang, China

2. School of Information Science and Engineering and the State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China

3. College of Automation, Chongqing University, Chongqing, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Liaoning Revitalization Talents Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering,Software

Link

http://xplorestaging.ieee.org/ielx7/6221021/9954243/09743487.pdf?arnumber=9743487

Reference52 articles.

1. RobustH∞control for networked control systems with randomly occurring uncertainties: Observer-based case

2. Peaking Attenuation of High-Gain Observers Using Adaptive Techniques: State Estimation and Feedback Control

3. Neural-Network-Based Near-Optimal Control for a Class of Discrete-Time Affine Nonlinear Systems With Control Constraints

4. Robust Global Exponential Synchronization of Uncertain Chaotic Delayed Neural Networks via Dual-Stage Impulsive Control

5. Novel Weighting-Delay-Based Stability Criteria for Recurrent Neural Networks With Time-Varying Delay

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