Title :
GA based robust design of RHC with adaptive DA converter
Author_Institution :
Dept. of Comput. Sci., Univ. of Tsukuba, Tsukuba, Japan
Abstract :
In this paper, a Genetic Algorithm (GA) based robust design method of Receding Horizon Control (RHC) for sampled-data systems is proposed. The method is combined a minimax optimization, a robust finite RHC and an adaptive Digital-to-Analog (DA) converter. The adaptive DA converter interpolate the discrete signal using predicted information calculated in RHC algorithm and switch the sampling function according to the system status. A numerical example is given to show the effectiveness of the proposed method.
Keywords :
adaptive control; digital-analogue conversion; genetic algorithms; predictive control; sampled data systems; adaptive DA converter; digital-to-analog converter; genetic algorithm; receding horizon control; sampled-data systems; sampling function; Control systems; Design methodology; Genetic algorithms; Minimax techniques; Optimization methods; Robust control; Robustness; Sampling methods; Switches; Switching converters;
Conference_Titel :
Control and Automation, 2009. ICCA 2009. IEEE International Conference on
Conference_Location :
Christchurch
Print_ISBN :
978-1-4244-4706-0
Electronic_ISBN :
978-1-4244-4707-7
DOI :
10.1109/ICCA.2009.5410308
