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Multivariable self-tuning PID controller based on wavelet fuzzy neural networks
- Source :
- ICMLC
- Publication Year :
- 2014
- Publisher :
- IEEE, 2014.
-
Abstract
- This paper presents a multivariable self-tuning proportional-integral-derivative (PID) controller based on wavelet fuzzy neural networks (WFNNs) for a class of nonlinear systems. A mathematic model using WFNN is constructed for the controlled nonlinear multivariable system, and the self-tuning PID controller is derived via a generalized predictive performance criterion. Numerical simulations exhibit that the proposed multivariable self-tuning PID control law gives satisfactory tracking and disturbance rejection performances.
Details
- Database :
- OpenAIRE
- Journal :
- 2014 International Conference on Machine Learning and Cybernetics
- Accession number :
- edsair.doi...........e4358268872931e2bea8d90b3b356792