Title :
Optimal Iterative Learning Controls for the Partial Non-Regular Systems Using Lifting Technique
Author :
Yang, Shengyue ; Fan, Xiaoping
Author_Institution :
Central South Univ., Changsha
Abstract :
Deficiencies of the optimal iterative learning control (ILC) for the non-regular systems are investigated in detail, then a faster control input updating and lifting technique is introduced in the design of optimal ILC for the partial non-regular systems. Besides, a novel optimal ILC based on new defined performance index in iteration domain is presented for the lifted systems. At last, simulation results are given to illustrated feasibility of proposed learning controls.
Keywords :
adaptive control; control system synthesis; iterative methods; learning systems; optimal control; lifting technique; optimal iterative learning controls; partial nonregular systems; Control systems; Current control; Error correction; Feedback; Optimal control; Performance analysis; Robotics and automation; Robust control; Signal generators; Trajectory;
Conference_Titel :
Control Applications, 2007. CCA 2007. IEEE International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-0442-1
Electronic_ISBN :
978-1-4244-0443-8
DOI :
10.1109/CCA.2007.4389209
