Chen, Z. Y. and Wang, Ruei-Yuan and Jiang, Rong and Chen, Timothy (2022) LDI NN auxiliary modeling and control design for nonlinear systems. Smart Structures and Systems, 29 (5). pp. 693-703. doi:10.12989/sss.2022.29.5.693. https://resolver.caltech.edu/CaltechAUTHORS:20220915-230624587
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Abstract
This study investigates an effective approach to stabilize nonlinear systems. To ensure the asymptotic nonlinear stability in nonlinear discrete-time systems, the present study presents controller for an EBA (Evolved Bat Algorithm) NN (fuzzy neural network) in the algorithm. In fuzzy evolved NN modeling, the auxiliary circuit with high frequency LDI (linear differential inclusions) and NN model representation is developed for the nonlinear arbitrary dynamics. An example is utilized to demonstrate the system more robust compared with traditional control systems.
| Item Type: | Article | ||||||
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| Issue or Number: | 5 | ||||||
| DOI: | 10.12989/sss.2022.29.5.693 | ||||||
| Record Number: | CaltechAUTHORS:20220915-230624587 | ||||||
| Persistent URL: | https://resolver.caltech.edu/CaltechAUTHORS:20220915-230624587 | ||||||
| Usage Policy: | No commercial reproduction, distribution, display or performance rights in this work are provided. | ||||||
| ID Code: | 116917 | ||||||
| Collection: | CaltechAUTHORS | ||||||
| Deposited By: | Tony Diaz | ||||||
| Deposited On: | 22 Sep 2022 19:51 | ||||||
| Last Modified: | 22 Sep 2022 19:51 |
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