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In this paper, the structured uncertainty description of non-minimum phase systems in the linear quadratic Gaussian and loop transfer recovery (LQG/LTR) process is firstly proposed. With above process, we can confirm that there is no difference between minimum-phase and nonminimum-phase systems in Kalman filter design. Furthermore, the well-developed eigenstructure assignment (ESA) method applied to a LTR process is firstly proposed. The proposed method can efficiently improve the high-gain problem in a conventional LQG/LTR one. In addition, our method provides better performance in time-domain and frequency-domain responses. With the ESA technique in a LTR process, the control system can simultaneously provide prescribed stability and take into account of both time-domain and frequency-domain specifications. Finally, the numerical results illustrate the advantage of our proposed method.
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on (Volume:1 )
Date of Conference: 15-19 June 2004