Abstract
In this study, an adaptive fuzzy decentralized dynamic surface control (DSC) problem is investigated for switched large-scale nonlinear systems with deferred asymmetric and time-varying full-state constraints. Due to the existence of additional general nonlinearities, complicated output interconnections, and full-state constraints, it is difficult to address the above control problem using existing methods. Fuzzy-logic systems are, therefore, utilized to approximate the unknown nonlinear functions, and the DSC technique is adopted to overcome the 'curse of dimensionality' problem. A novel fuzzy adaptive decentralized controller design is presented using the proposed convex combination technique. Furthermore, it is proven that under the proposed controller and state-dependent switching law, all states of the closed-loop system are bounded and deferred asymmetric, and the time-varying full-state constraints are strictly obeyed. The simulation results are presented to demonstrate the effectiveness of the proposed method.
| Original language | English |
|---|---|
| Pages (from-to) | 10761-10772 |
| Number of pages | 12 |
| Journal | IEEE Transactions on Cybernetics |
| Volume | 52 |
| Issue number | 10 |
| DOIs | |
| Publication status | Published - 2022 Oct 1 |
Bibliographical note
Funding Information:This work was supported in part by the National Natural Science Foundation of China under Grant 61873128; in part by the National Research Foundation of Korea (NRF) Grant funded by the Korea government (Ministry of Science and ICT) under Grant NRF-2020R1A2C1005449;
Publisher Copyright:
© 2013 IEEE.
Keywords
- Adaptive fuzzy control
- full-state constraints
- large-scale nonlinear systems
- state-dependent switching law
- switched systems
ASJC Scopus subject areas
- Software
- Control and Systems Engineering
- Information Systems
- Human-Computer Interaction
- Computer Science Applications
- Electrical and Electronic Engineering