Constrained State Estimation and Control of Complex Networked Systems

This book presents research developments and novel methodologies on data-rate-constrained control and state estimation for complex networked systems with different kinds of encoding-decoding mechanisms. It describes the framework of state estimator and controller design, stability and performance analysis for data-rate constrained complex systems with various kinds of encoding-decoding schemes and so forth. Simulations given in this book are constructed by applying MATLAB® software package.

The book provides a systematic investigation of the control and state estimation for complex networked systems subject to the data rate constraint. It develops control/filtering algorithms in a unified framework, and includes comparisons for different coding-decoding techniques proposed. The book discusses the theoretical value and practical application for the resource-constrained communication environment, and provides performance analysis as well as the parameterizations of filters and FD units.

This book is aimed at researchers and graduate students in electrical engineering, signal processing, control systems and complex networks. It offers a comprehensive overview of the latest research advancements in data-rate-constrained control and state estimation for complex networked systems, with a focus on the design, analysis, and implementation of advanced control and filtering techniques.

The book begins by introducing the problem of data-rate-constrained control and state estimation, highlighting the challenges and importance of addressing this issue in the context of complex networked systems. It then delves into the development of a unified framework for control and filtering algorithm design, incorporating various encoding-decoding schemes and analyzing their stability and performance characteristics.

One of the key features of the book is the comparative analysis of different coding-decoding techniques, providing valuable insights into the strengths and limitations of each approach. This helps readers understand the trade-offs involved in selecting the most appropriate encoding-decoding mechanism for their specific applications.

Moreover, the book discusses the theoretical foundations and practical applications of the proposed methodologies, emphasizing the significance of resource-constrained communication environments. The performance analysis and parameterization of filters and FD units further enhance the applicability of the presented techniques in real-world scenarios.

Throughout the book, the authors leverage the power of MATLAB® software to construct comprehensive simulations, enabling readers to gain a deeper understanding of the practical implementation and performance of the discussed control and estimation strategies.

Overall, this book serves as a valuable resource for researchers and graduate students working in the fields of electrical engineering, signal processing, control systems, and complex networks. It offers a comprehensive and up-to-date exploration of the latest advancements in data-rate-constrained control and state estimation, providing a solid foundation for further research and development in this critical area.

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