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Fuzzy Neural Network-Based Adaptive Single Neuron Controller.
- Source :
- Bio-Inspired Computational Intelligence & Applications; 2007, p412-423, 12p
- Publication Year :
- 2007
-
Abstract
- To circumvent the drawbacks in nonlinear controller designing of chemical processes, an adaptive single neuron control scheme is proposed in this paper. A class of nonlinear processes is approximated by a fuzzy neural network-based model. The key of this work is, an adaptive single neuron controller, which mimics PID controller, is considered in the proposed control scheme. Applying this result and Lyapunov stability theory, a novel-updating algorithm to adjust the parameters of the single neuron controller is presented. Simulation results illustrate the effectiveness of the proposed adaptive single neuron control scheme. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISBNs :
- 9783540747680
- Database :
- Complementary Index
- Journal :
- Bio-Inspired Computational Intelligence & Applications
- Publication Type :
- Book
- Accession number :
- 33107511
- Full Text :
- https://doi.org/10.1007/978-3-540-74769-7_45