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ABSTRACT: A predictive control algorithm for probability density function (PDF) is presented based on the rational square-root B-spline based PDF model. The rational square-root PDF model is studied first, based on the analysis of the relationship between the pseudo weight and the actual weight, the rational square-root B-spline model can be easily set up; then the predictive model is deduced; a performance index is chosen next to design the predictive controller; and simulation study is performed for the molecular weight distribution (MWD) control of a styrene polymerization process to test the validity of the predictive control algorithm.
Control and Decision Conference, 2009. CCDC '09. Chinese; 07/2009
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ABSTRACT: This paper presents a novel networked control scheme for robotic manipulators by combing T-S fuzzy control with descriptor representation. The dynamic characteristic of nonlinear control system for robotic manipulator is built by T-S fuzzy model. In specific, both time-delay induced by network and packet loss are considered. A delay-dependent criterion for determining the stability of networked control system is obtained with the aid of linear matrix inequality (LMI) approach. A fuzzy controller is then designed by parallel distributed compensation principle. An augmented system is also introduced such that the tracking error is minimized. Finally, the proposed control algorithm is applied in a networked single-link robotic manipulator control system, and the result of simulation shows its effectiveness
Intelligent Systems Design and Applications, 2006. ISDA '06. Sixth International Conference on; 11/2006
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Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications (ISDA 2006), October 16-18, 2006, Jinan, China; 01/2006
