Nonlinear model predictive control of Hammerstein and Wiener modelsusing genetic algorithms
Model predictive control or MPC can provide robust control for processes with variable gain and dynamics, multivariable interaction, measured loads and unmeasured disturbances. In this paper a novel approach for the implementation of nonlinear MPC is proposed using genetic algorithms (GAs). The prop...
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| Other Authors: | , |
| Format: | article |
| Published: |
2001
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| Online Access: | https://eprints.kfupm.edu.sa/id/eprint/14620/1/14620_1.pdf https://eprints.kfupm.edu.sa/id/eprint/14620/2/14620_2.doc |
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