Title :
A Nonparametric Model-Based LQG Control Algorithm
Author :
Li, Pingkang ; Li, Bei ; Du, Xiuxia
Author_Institution :
Sch. of Mech., Electron. & Control Eng., Beijing Jiaotong Univ.
Abstract :
A new nonparametric model based LQG control algorithm is developed in this paper. By means of the closed form of Riccati equation, the data-based LQG controller directly using Markov parameters of the system is derived. This nonparametric design methodology, based on the input-output data of a system, does not require a state-space realization, and can also avoid the parameter error in modeling. The effectiveness of the method is illustrated by simulation examples
Keywords :
Markov processes; Riccati equations; control system synthesis; linear quadratic Gaussian control; Markov parameter; Riccati equation; data-based LQG controller; nonparametric model; Automation; Control engineering; Control systems; Design methodology; Electronic mail; Intelligent control; Neural networks; Riccati equations; Three-term control; LQG; Markov parameter; Riccati equation; data-based controller;
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1712410
