Neural Learning Control for Discrete-Time Strict-Feedback Systems: An Error Estimate Method-Reference-Cited by-同舟云学术

Neural Learning Control for Discrete-Time Strict-Feedback Systems: An Error Estimate Method

Published:2023-09 Issue:9 Volume:70 Page:3439-3443
ISSN:1549-7747
Container-title:IEEE Transactions on Circuits and Systems II: Express Briefs
language:
Short-container-title:IEEE Trans. Circuits Syst. II

Author:

Shi Haotian¹^ORCID,Wang Min²^ORCID,Wang Cong³^ORCID

Affiliation:

1. School of Electronics and Communication Engineering, Guangzhou University, Guangzhou, China

2. School of Automation Science and Engineering, Guangdong Provincial Key Laboratory of Technique and Equipment for Macromolecular Advanced Manufacturing, South China University of Technology, Guangzhou, China

3. School of Control Science and Engineering, Shandong University, Jinan, China

Funder

National Natural Science Foundation of China

Guangdong Natural Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/8920/10235305/10092775.pdf?arnumber=10092775

Reference26 articles.

1. Observer-Based Neuro-Adaptive Optimized Control of Strict-Feedback Nonlinear Systems With State Constraints

2. From Emotion AI to Cognitive AI

3. Adaptive Neural Network-Based Fixed-Time Control for Trajectory Tracking of Robotic Systems

4. Adaptive Dynamic Programming for Networked Control Systems Under Communication Constraints: A Survey of Trends and Techniques

5. Event-Based Finite-Time Neural Control for Human-in-the-Loop UAV Attitude Systems

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