Hybrid adaptive bionic fuzzy control method for MIMO systems with dead-zone input |
| |
| Institution: | 1. Department of Control Science and Engineering, Tongji University, Shanghai 200092, China;2. Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education, East China University of Science and Technology, Shanghai 200237, China;3. School of Electrical and Automation Engineering, East China Jiaotong University, Nanchang 330013, China;1. School of Electrical and Automation Engineering, East China Jiaotong University, Nanchang 330013, China;2. School of Communication and Electronics, Jiangxi Science and Technology Normal University, Nanchang 330013, China;3. School of Mechano-electronic Engineering, Xidian University, Xi’an 710071, China;1. School of Astronautics, Beihang University, No.37 Xueyuan Road, Beijing 100191, PR China;2. Shanghai Institute of Satellite Engineering, No. 3666 Yuanjiang Road, Shanghai 201109, PR China;3. School of Astronautics, Northwestern Ploytechnical University (NWPU), No. 127 West Youyi Road, Xi’an, Shaanxi 710072, PR China;4. National Key Laboratory of Aerospace Flight Dynamics, NWPU, No. 127 West Youyi Road, Xi’an, Shaanxi 710072, PR China;1. Department of Mechanical Engineering and Science, Kyoto University, Kyoto, Japan;2. Department of Electronics and Information Systems Engineering, Osaka Institute of Technology, Osaka, Japan;1. School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Sweden;2. School of Computer Science and Engineering, Constructor University, Germany;3. Department of Mechanical and Aero-Space Engineering, Institute of Infrastructure Technology Research and Management, India;4. Department of Computer Engineering, Ain Shams University, Egypt;5. Department of Computer Engineering, Technical University of Munich, Germany |
| |
| Abstract: | In this research, a hybrid adaptive bionic fuzzy control strategy is developed for a class of complicated nonlinear multiple-input-multiple-output (MIMO) systems with dead-zone input. The first component of the bionic adaptive controller is a general phrase for tunning system parameters depending on the present state, and the second component is a trend-based compensation for adjusting the system parameters. This technique makes the system more intelligent and boosts its anti-interference capabilities. The stability and convergence are analyzed using the Lyapunov synthetic method, and thus the parameter restrictions of the MIMO system are provided. Finally, the strong anti-interference of the system is verified by the simulations. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
