Title :
Controller design method of discrete-time descriptor system based on total least squares
Author :
Zhang, G.G. ; Bo Zhang ; Zhang, D.Q.
Author_Institution :
Sch. of Sci., Univ. of Sci. & Technol. Liaoning, Anshan, China
Abstract :
Total least squares method is applied to design the optimal control strategy for descriptor systems through the noise polluted input and output data. The traditional controller design schemes are ideally, i.e., the input-output data is treated with no noise disturbance, or only the error of the output data is considered. However, if the input and output data are both disturbance by the noise, the underlying problem of controller design may be ill-conditioned, and in that case the tradition approaches will lose its significance. In this paper, the methodology of Tikhonov regularization of total least squares is introduced to solve the above problems. By using the presented algorithm, one can get the desired controller only through the input and output data of the system. Furthermore, because the posedness is considered when the algorithm is designed, algorithm is robustness. Illustrative example indicates that the presented algorithm can obtain an accurate controller for a system and has more effectiveness.
Keywords :
control system synthesis; discrete time systems; least squares approximations; optimal control; Tikhonov regularization; controller design method; discrete-time descriptor system; noise disturbance; noise polluted input data; noise polluted output data; optimal control strategy; total least squares method; Algorithm design and analysis; Control systems; Design methodology; Educational institutions; Intelligent control; Mathematical model; Noise; Tikhonov regularizaion; controller design method; discrete-time descriptor system; total least squares;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2014 11th World Congress on
DOI :
10.1109/WCICA.2014.7052801