The book addresses the system performance with a focus on the network-enhanced complexities and developing the engineering-oriented design framework of controllers and filters with potential applications in system sciences, control engineering and signal processing areas. Therefore, it provides a unified treatment on the analysis and synthesis for discrete-time stochastic systems with guarantee of certain performances against network-enhanced complexities with applications in sensor networks and mobile robotics. Such a result will be of great importance in the development of novel control and filtering theories including industrial impact.

Key Features

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• Provides original methodologies and emerging concepts to deal with latest issues in the control and filtering with an emphasis on a variety of network-enhanced complexities
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• Gives results of stochastic control and filtering distributed control and filtering, and security control of complex networked systems
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• Captures the essence of performance analysis and synthesis for stochastic control and filtering
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• Concepts and performance indexes proposed reflect the requirements of engineering practice
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• Methodologies developed in this book include backward recursive Riccati difference equation approach and the discrete-time version of input-to-state stability in probability
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Derui Ding, Zidong Wang, Guoliang Wei