Robust H∞ Observer-Based Reference Tracking Control Design of Nonlinear Stochastic Systems: HJIE-Embedded Deep Learning Approach
Author:
Affiliation:
1. Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan
Funder
Ministry of Science and Technology of Taiwan
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09751741.pdf?arnumber=9751741
Reference31 articles.
1. Joint Computing and Caching in 5G-Envisioned Internet of Vehicles: A Deep Reinforcement Learning-Based Traffic Control System
2. Autonomous Navigation of UAVs in Large-Scale Complex Environments: A Deep Reinforcement Learning Approach
3. -like control for nonlinear stochastic systems
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1. Non-fragile Observer-Based $${\varvec{H_\infty}} $$ Control for Switched Takagi–Sugeno Fuzzy Systems Using Past Output Measurements;International Journal of Fuzzy Systems;2024-08-16
2. Robust Decentralized H∞ Attack-Tolerant Observer-Based Team Formation Network Control of Large-Scale Quadrotor UAVs: HJIE-Reinforcement Learning-Based Deep Neural Network Method;IEEE Access;2023
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