Sliding-Mode Control of T–S Fuzzy Systems Under Weighted Try-Once-Discard Protocol
| Autor: | Yugang Niu, Zhina Zhang, Hak-Keung Lam |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
Computer science Node (networking) Stability (learning theory) weighted try-once-discard (WTOD) protocol 02 engineering and technology Fuzzy control system Sliding mode control Computer Science Applications Human-Computer Interaction Membership-function-dependent (MFD) conditions Nonlinear system 020901 industrial engineering & automation Exponential stability Control and Systems Engineering Control theory Linearization sliding-mode control (SMC) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Electrical and Electronic Engineering Actuator T-S fuzzy system Software Information Systems |
| Zdroj: | Zhang, Z, Niu, Y & Lam, H K 2020, ' Sliding-Mode Control of T-S Fuzzy Systems under Weighted Try-Once-Discard Protocol ', IEEE Transactions on Cybernetics, vol. 50, no. 12, 8859638, pp. 4972-4982 . https://doi.org/10.1109/TCYB.2019.2941870 |
| ISSN: | 2168-2275 2168-2267 |
| DOI: | 10.1109/tcyb.2019.2941870 |
| Popis: | This article investigates the sliding-mode control (SMC) problem for a class of T-S fuzzy systems with communication constraints. The weighted try-once-discard (WTOD) protocol is utilized to arrange the transmission order of actuator nodes, under which only one node is permitted to obtain access to the communication network at any time. A key issue is how to integrate the WTOD protocol into the design of the SMC system. To this end, an update rule is proposed for the actuators to obtain the actual actuator signals. And then, a membership-function-dependent (MFD) sliding surface and a token-dependent sliding-mode controller are designed. By taking the information of membership functions into stability and reachability analysis, MFD sufficient conditions are derived such that both the asymptotic stability of the closed-loop fuzzy systems and the reachability of the specified sliding surface can be guaranteed. Moreover, the cone complementary linearization (CCL) algorithm is employed to convert nonlinear inequalities into a minimization problem with linear constraints. Finally, a numerical example is utilized to illustrate the proposed SMC design approach. |
| Databáze: | OpenAIRE |
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