Robust integration of model-based fault estimation and fault-tolerant control (Q2218695)

Fault tolerant control (FTC) is a basic method to ensure that the system can automatically compensate the impact of the fault when the fault occurs, so as to maintain the stability of the system and recover the performance of the systems as much as possible. Fault estimation (FE) is the basis of FTC. In order to realize effective fault tolerant control, timely and accurate fault detection and diagnosis (FDD) is important. In this book, the authors are concerned with robust integration of model-based FE and FTC. The book content consists of the following three parts and a brief summary and prospects for future research. Part I. Introduction and Preliminary (Chapters 1--2). Part II. Strategies for Robust Integration of FE and FTC (Chapters 3--7). Part III. Extension and Applications (Chapters 8--10). The tutorial examples are some MATLAB-based material available from the Springer website and by industrial-applications-based material. In Part I, the authors recall some basic concepts of FE and FTC, and give a literature review of FTC systems. Part II focuses on linear systems and presents five strategies for robust integration of FE and FTC about the linear systems. This part has five chapters, which introduce sequential integration of FE and FTC, iterative integration of FE and FTC, simultaneous integration of FE and FTC, robust decoupling integration of FE and FTC, and adaptive-decoupling integration of FE and FTC respectively. Part III addresses extension of the proposed strategies to some nonlinear and large-scale systems, and their applications to some problems concerning renewable energy, robotics and networked systems. I would like to recommend the book to students and researchers interested in FTC and FE (or FDD).