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A nonlinear adaptive predictive control algorithm based on OFS model

Zhang H.T. and Chen Z.H. and Li M and Xiang W

Springer Lecture Notes in Computer Science, Volume 3645, Number 2, Pages 502-511, 2005

Abstract

Firstly, a method is introduced which uses Volterra series deploying technique to construct a nonlinear model based on OFS model. Then an improved novel incremental mode multiple steps adaptive predictive control strategy is brought forward, which can import more information about the system’s dynamical characteristics. Experiments of constant water pressure equipment’s control prove that this proposed algorithm can effectively alleviate system’s oscillation when used to control a plant with severe nonlinearity, and that this algorithm shows good robustness for outer disturbances. So it is suitable to be generalized to the design of complex industrial process controller.

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BibTex Entry

@Article{,: author = {Zhang H.T. and Chen Z.H. and Li M and Xiang W},; journal = {Springer Lecture Notes in Computer Science},; title = {A nonlinear adaptive predictive control algorithm based on OFS model},; year = {2005},; number = {2},; pages = {502-511},; volume = {3645}
}



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