The intelligent-based hybrid tracking control problem for analog neutral system with multiple mixed (discrete and distributed) time delays is investigated in this paper. A continuous-times linear quadratic cost function is considered as a performance index of the closed-loop hybrid neutral system. A newly intelligent-based tracking control framework, which is called the improved-type hybrid iterative learning control (ILC) scheme, is presented to find a low-gain evolutionary programming (EP)-based iterative learning digital tracker. To obtain good tracking performance, a novel spproach that combining the evolutionary programming method and the high gain property is proposed to search the optimal weighting matrices to achieve the “best” tracking control for the first time. Finally, a numerical example is given to illustrate the effectiveness of the proposed methods.
Relation:
2008 CACS International Automatic Control Conference: Conference Digest 2008 International Automatic Control Conference(IACC) CACS 2008 Proceedings of 2008 CACS International Automatic Control Conference
