Stability analysis of a new predictive control algorithm of Nonlinear Industrial Equipment

Generalized predictive control algorithm is a kind of advance control algorithm with high robustness. It has been widely applied in the field of machine, metallurgy, electron, and chemical industry, and has formed an advanced control industry with sizeable scale. This paper presents a new generalized predictive control algorithm of Nonlinear Industrial Equipment. Meanwhile, a simple convergent recursive algorithm with fast astringency is given in the process of optimizing control amount, which has solved the problem that the traditional algorithm must solve the inverse matrix or partly solve the inverse matrix and has broken through the limit that traditional algorithm´s control domain can´t get bigger values for cutting down calculation amount. Through on-line recursive estimating parameters, the calculating efficiency and precision are improved and new measure for system´s stability analysis and fault diagnosis is provided.