A Caltech Library Service

LDI NN auxiliary modeling and control design for nonlinear systems

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.

Full text is not posted in this repository. Consult Related URLs below.

Use this Persistent URL to link to this item:


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
Related URLs:
URLURL TypeDescription
Issue or Number:5
Record Number:CaltechAUTHORS:20220915-230624587
Persistent URL:
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:116917
Deposited By: Tony Diaz
Deposited On:22 Sep 2022 19:51
Last Modified:22 Sep 2022 19:51

Repository Staff Only: item control page