Linear Method, Nonlinear Method And Neural Network Method Of Predictive Control

THIS is a doctoral dissertation about predictive control. It summarized basic situation of predictive control. After narrating a few typical control algorithms of predictive control, it gave two applied examples. It also analyzed the control characteristics of two systems, and predictive models, and design parameters. To nowadays-developing nonlinear predictive control and the predictive control based on artificial neural networks, it made researches and explorations.In application of predictive control, this dissertation, in accordance with the parameter changes of the liquid level container, led self-tuning technique into dynamic matrix, and made the system's adaptation strengthened. In the temperature control of a temperature box, according to the change of the structure and parameters of the box, it selected the generalized predictive control algorithm with PI form in order to make the system's control character enhanced, and the adjustment convenient.In the analyses of predictive control system, this book, in accordance with multi-models used in predictive control, revealed the relation between different models, and offered their conversion formulas, which provides convenience to analyses and designs of predictive controls. Through the analyses of the closed-loop characteristics of above-mentioned two predictive control systems, it explained that internal model control is a powerful tool to various predictive control systems, and discussed the accuracy, stability, and robustness of systems. This dissertation qualitatively expounded the relations between design parameters and system characteristics, and verified the conclusions with an example, which have a referential and guidable meaning to designs of predictive control.In nonlinear predictive control, this book researched the possibility of handling nonlinear predictive control with linearization method. The two approximative methods, which were used to extracting a root to decide a control volume in the predictive control based on Hammerstein model, were studied in depth, and some sure conclusions were gained. It was considered a good method for handling nonlinear,...