Reduced-order K-filters-based event-triggered adaptive command filtered tracking control for stochastic constrained nonlinear systems |
| |
| Institution: | 1. Instituto Universitario de Matemática Multidisciplinar, Universitat Politècnica de València, Camino de Vera s/n, Valencia, 46022, Spain;2. Department of Statistics and Operational Research, Universitat de València, Dr. Moliner 50, Burjassot, 46100, Spain;1. School of Astronautics, Northwestern Polytechnical University, Xi''an, 710072, China;2. National Key Laboratory of Aerospace Flight Dynamics, Northwestern Polytechnical University, Xi''an, 710072, China;1. Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science and Technology, Nanjing, 210044, China;2. College of Automation, Chongqing University, Chongqing 400044, China;1. Laboratory of Electronic Signals and Systems of Information, Faculty of Science, Sidi Mohamed Ben Abdellah-Fez University, Fez, Morocco;2. Laboratory of Engineering, Systems and Applications, National School of Applied Sciences, Sidi Mohamed Ben Abdellah-Fez University, Fez, Morocco;3. Faculty of Medicine and Pharmacy, Clinical Neuroscience Laboratory, Sidi Mohamed Ben Abdellah University, Fez, Morocco;4. Department of Radiology and Clinical Imaging, University Hospital of Fez, Fez, Morocco;5. Faculty of Medicine and Pharmacy, Department of Biophysics and Clinical MRI Methods, Sidi Mohamed Ben Abdellah University, BP. 893, Km 2.200, Sidi Hrazem Road, 30000 Fez, Morocco;6. Systems and Sustainable Environment Laboratory (SED), Faculty of Engineering Sciences (FSI) Private University of Fez (UPF), Fez, Morocco;1. College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing 211816, China;2. School of Automation, Southeast University, Nanjing 210096, China;3. Department of Electrical Engineering, Yeungnam University, 280 Daehak-Ro, Kyonsan 38541, South Korea |
| |
| Abstract: | To ensure better performance and simultaneously save resources, an event-triggered adaptive command filtered dynamic surface control (ACFDSC) method for uncertain stochastic nonstrict-feedback nonlinear systems with dynamic output constraints and prescribed performance is designed in this article. Firstly, with the help of reduced-order K-filters, linearly parameterized neural networks and specific coordinate transformation technique, the unmeasurable states, nonlinearities, two types of unmodeled dynamics and output constraints are dealt with respectively. Then, an event-triggered ACFDSC strategy is proposed to ensure that the tracking error reaches a specific bound within a finite time. By introducing the compensated signal into the complete Lyapunov function, and with the assistance of the compact set defined in the stability analysis, all signals are strictly demonstrated to be semi-globally uniformly ultimately bounded. The simulation results verify the effectiveness of the proposed method. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
