HMM-Based Fuzzy Control for Nonlinear Markov Jump Singularly Perturbed Systems With General Transition and Mode Detection Information-Reference-Cited by-同舟云学术

HMM-Based Fuzzy Control for Nonlinear Markov Jump Singularly Perturbed Systems With General Transition and Mode Detection Information

Published:2022-09 Issue:9 Volume:52 Page:8741-8752
ISSN:2168-2267
Container-title:IEEE Transactions on Cybernetics
language:
Short-container-title:IEEE Trans. Cybern.

Author:

Li Feng¹^ORCID,Zheng Wei Xing²^ORCID,Xu Shengyuan¹^ORCID

Affiliation:

1. School of Automation, Nanjing University of Science and Technology, Nanjing, China

2. School of Computer, Data and Mathematical Sciences, Western Sydney University, Sydney, NSW, Australia

Funder

National Natural Science Foundation of China

Australian Research Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

http://xplorestaging.ieee.org/ielx7/6221036/9861395/09352228.pdf?arnumber=9352228

Reference45 articles.

1. Command Filter-Based Adaptive NN Control for MIMO Nonlinear Systems With Full-State Constraints and Actuator Hysteresis

2. Adaptive neural control for switched non‐linear systems with multiple tracking error constraints

3. Slow State Variables Feedback Stabilization for Semi-Markov Jump Systems With Singular Perturbations

4. H∞ control design for fuzzy discrete-time singularly perturbed systems via slow state variables feedback: An LMI-based approach

5. Fuzzy singularly perturbed modeling and composite controller design for nonlinear multiple time-scale systems with time-delay

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