Model Free Adaptive Control: Theory and Applications (Hardcover)

Model Free Adaptive Control: Theory and Applications summarizes theory and applications of model-free adaptive control (MFAC). MFAC is a novel adaptive control method for the unknown discrete-time nonlinear systems with time-varying parameters and time-varying structure, and the design and analysis of MFAC merely depend on the measured input and output data of the controlled plant, which makes it more applicable for many practical plants.

This book covers new concepts, including pseudo partial derivative, pseudo gradient, pseudo Jacobian matrix, and generalized Lipschitz conditions, etc.; dynamic linearization approaches for nonlinear systems, such as compact-form dynamic linearization, partial-form dynamic linearization, and full-form dynamic linearization; a series of control system design methods, including MFAC prototype, model-free adaptive predictive control, model-free adaptive iterative learning control, and the corresponding stability analysis and typical applications in practice. In addition, some other important issues related to MFAC are also discussed. They are the MFAC for complex connected systems, the modularized controller designs between MFAC and other control methods, the robustness of MFAC, and the symmetric similarity for adaptive control system design.

The book is written for researchers who are interested in control theory and control engineering, senior undergraduates and graduated students in engineering and applied sciences, as well as professional engineers in process control.

《無模型自適應控制：理論與應用》總結了無模型自適應控制（MFAC）的理論和應用。MFAC是一種針對未知離散時間非線性系統的自適應控制方法，該系統具有時間變化的參數和時間變化的結構，而MFAC的設計和分析僅依賴於受控植物的測量輸入和輸出數據，使其更適用於許多實際植物。

本書涵蓋了一些新概念，包括偽偏導數、偽梯度、偽雅可比矩陣和廣義利普希茨條件等；非線性系統的動態線性化方法，如緊湊形式的動態線性化、部分形式的動態線性化和完全形式的動態線性化；一系列控制系統設計方法，包括MFAC原型、無模型自適應預測控制、無模型自適應迭代學習控制，以及相應的穩定性分析和實際應用。此外，還討論了與MFAC相關的其他重要問題，包括複雜連接系統的MFAC、MFAC與其他控制方法之間的模塊化控制器設計、MFAC的魯棒性以及自適應控制系統設計的對稱相似性。

本書針對對控制理論和控制工程感興趣的研究人員、工程和應用科學的高年級本科生和研究生，以及過程控制的專業工程師撰寫。