Xue Anke

Robust guaranteed cost control with H/sub /spl infin//-/spl gamma/ disturbance attenuation performance

The paper is concerned with the design of robust guaranteed cost controller with H/sub /spl infin//-/spl gamma/ disturbance attenuation performance for linear systems with norm bounded parameter uncertainties and disturbances.

H/sub /spl infin// robust optimal guaranteed cost control with /spl gamma/ disturbance attenuation performance for uncertain systems

This paper is concerned with a design of robust guaranteed cost controller for linear systems with norm bounded parameter uncertainties and disturbance. Based on Riccati inequality approach, the definition of H/sub /spl infin// robust optimal guaranteed cost systems with /spl gamma/ disturbance attenuation performance was presented. Then, the design approach of a state feedback controller for optimizing the guaranteed cost was proposed. The close-loop systems we designed satisfied a given /spl gamma/ disturbance attenuation H/sub /spl infin// performance and provided a guaranteed cost and kept stability for all admissible uncertainties. Finally, an example of mill shaping process was given to demonstrate our results. The corresponding simulation results were given.

Guaranteed cost control for sampled-data systems

Guaranteed cost control (GCC) via output feedback for sampled data systems is considered. In terms of a Riccati inequality with jumps, the GCC problem for a sampled data system is defined. For uncertain sampled data systems, the GCC controller can stabilize the closed loop system and guarantee an adequate level of performance. Motivated by some results on H/sub /spl infin// control for sampled data systems, we transform the GCC problem to a H/sub /spl infin// control for a linear system with jumps. Simulation results show the GCC is efficient and practicable.

Modeling and robust LQ regulator designing for refining process

This paper presents a synthetic design procedure for a robust LQ regulator for refining process, including modeling and robust optimal system designing. The paper discusses three major topics: mathematical modeling of the process with large uncertainty, determination of a synthetic performance index for optimizing the process, and design of the robust optimal system with robust guaranteed stability. This research result is a part of preliminary results of the real refining process optimal control system implemented in the Minfeng Paper Mill, Zhejiang Province. Simulation test results showed that the proposed modeling and control algorithm are efficient and practicable.

H/sub 2/ control for sampled-data systems

Gives a comprehensive analysis on the sampled-data H/sub 2/ optimal control problem. An approach based on Riccati equations with jumps is presented. Compared to the lifting-based method, this approach is more direct and explicit. Then we show that the two methods lead to identical synthesis equations for the H/sub 2/ optimal sampled-data controller.