Abstract
A novel decentralized controller using the dynamic surface control (DSC) is proposed for a class of uncertain large scale interconnected nonlinear systems in strict feedback form while relaxing the "explosion of complexity" problem which is observed in the typical backstepping approach. the matching condition is not assumed when dealing with the interconnection terms. Neural networks (NNs) are utilized to approximate the uncertainties in both subsystem and interconnected terms. by using novel NN weight update laws, it is demonstrated using Lyapunov stability that the closed-loop signals are asymptotically stable in the presence of NN approximation errors in contrast with the uniform ultimate boundedness result that is common in the literature with NN- based DSC and backstepping schemes. Simulation results of the controller performance for a nonlinear decentralized system justify theoretical conclusions. © 2009 IEEE.
Recommended Citation
S. Mehraeen et al., "Decentralized Control of Large Scale Interconnected Systems using Adaptive Neural Network-Based Dynamic Surface Control," Proceedings of the International Joint Conference on Neural Networks, pp. 2058 - 2064, article no. 5178736, Institute of Electrical and Electronics Engineers, Nov 2009.
The definitive version is available at https://doi.org/10.1109/IJCNN.2009.5178736
Department(s)
Electrical and Computer Engineering
Second Department
Computer Science
Keywords and Phrases
Decentralized control; Dynamic surface control; Neural networks; Nonlinear adaptive control
International Standard Book Number (ISBN)
978-142443553-1
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
18 Nov 2009
