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Adaptive predictive control algorithm based on Laguerre functional model

Zhang H.T. and Chen Z.H. and Wang Y.J. and Li M and Qin T

International Journal of Adaptive Control and Signal Processing, Volume 20, Number 2, Pages 53-76, December 2006

Abstract

Laguerre Functional Model has many advantages such as good approximation capability for the variances of system time-delay, order and other structural parameters, low computational complexity, and the facility of online parameter identification, etc., so this model is suitable for complex industrial process control. A series of successful applications have been gained in linear and non-linear predictive control fields by the control algorithm based on Laguerre Functional Model, however, former researchers have not systemically brought forward the theoretical analyses of the stability, robustness, and steady-state performance of this algorithm, which are the keys to guarantee the feasibility of the control algorithm fundamentally. Aimed at this problem, we introduce the principles of the Incremental Mode Linear Laguerre Predictive Control (IMLLPC) algorithm, and then systemically propose the theoretical analyses and proofs of the stability and robustness of the algorithm, in addition, we also put forward the steadystate performance analysis. At last, the control performances of this algorithm on two different physical industrial plants are presented in detail, and a number of experimental results validate the feasibility and superiority of IMLLPC algorithm.

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BibTex Entry

@Article{,: author = {Zhang H.T. and Chen Z.H. and Wang Y.J. and Li M and Qin T},; journal = {International Journal of Adaptive Control and Signal Processing},; title = {Adaptive predictive control algorithm based on Laguerre functional model},; year = {2006},; month = {December},; number = {2},; pages = {53-76},; volume = {20}
}



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