Data-Driven Near Optimization for Fast Sampling Singularly Perturbed Systems-Reference-Cited by-同舟云学术

Data-Driven Near Optimization for Fast Sampling Singularly Perturbed Systems

Published:2024-07 Issue:7 Volume:69 Page:4689-4694
ISSN:0018-9286
Container-title:IEEE Transactions on Automatic Control
language:
Short-container-title:IEEE Trans. Automat. Contr.

Author:

Shen Hao¹^ORCID,Peng Chuanjun¹^ORCID,Yan Huaicheng²^ORCID,Xu Shengyuan³^ORCID

Affiliation:

1. Anhui Provincial Key Laboratory of Power Electronics and Motion Control, and School of Electrical and Information Engineering, Anhui University of Technology, Ma'anshan, China

2. School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China

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

Funder

National Natural Science Foundation of China

Natural Science Foundation for Distinguished Young Scholars of Higher Education Institutions of Anhui Province

Natural Science Foundation for Excellent Young Scholars of Higher Education Institutions of Anhui Province

Engineering Research Center of Biofilm Water Purification and Utilization Technology of Ministry of Education

University Synergy Innovation Program of Anhui Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/9/10575939/10388382.pdf?arnumber=10388382

Reference16 articles.

1. Optimal disturbance rejection control for singularly perturbed composite systems with time-delay

2. Fuzzy H/sub /spl infin// output feedback control design for singularly perturbed systems with pole placement constraints: an LMI approach

3. Composite fuzzy sliding mode control of nonlinear singularly perturbed systems

4. Feedback control of two-time-scale block implemented discrete-time systems

5. Linear quadratic tracking control of unknown systems: A two-phase reinforcement learning method

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