Title :
Tracking performance comparison for different strategies in output PDF control
Author :
Yue, Hong ; Wang, Hong ; Zhang, Jinfang ; Chai, Tianyou
Author_Institution :
Sch. of Electr. & Electron. Eng., Manchester Univ.
Abstract :
Two predictive PDF control algorithms and one new algorithm of iterative learning PDF control have been compared with the standard PDF control of dynamic systems. The two predictive algorithms are developed on the general 2-norm distance and the Kullback-Leibler performance, respectively. A new iterative algorithm is proposed in which the control input in the current batch is updated based on the control input and the PDF tracking errors in the previous batch. Simulation studies demonstrate the improvement in PDF tracking performance when advanced control strategies are introduced to the standard algorithm
Keywords :
iterative methods; learning systems; predictive control; probability; Kullback-Leibler performance; general 2-norm distance; iterative algorithm; iterative learning PDF control; output PDF control; predictive PDF control; probability density function; tracking performance comparison; Algorithm design and analysis; Automatic control; Automation; Control systems; Iterative algorithms; Optimal control; Prediction algorithms; Predictive models; Shape control; Spline;
Conference_Titel :
American Control Conference, 2006
Conference_Location :
Minneapolis, MN
Print_ISBN :
1-4244-0209-3
Electronic_ISBN :
1-4244-0209-3
DOI :
10.1109/ACC.2006.1655481
