Performance Analysis and Synthesis for Discrete-Time Stochastic Systems with Network-Enhanced Complexities |
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Author:
| Ding, Derui Wang, Zidong Wei, Guoliang |
ISBN: | 978-0-429-88002-5 |
Publication Date: | Oct 2018 |
Publisher: | Taylor & Francis Group
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Imprint: | CRC Press |
Book Format: | Ebook |
List Price: | USD $64.95USD $330.00USD $245.00 |
Book Description:
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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...
More Description
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
- 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
- Gives results of stochastic control and filtering distributed control and filtering, and security control of complex networked systems
- Captures the essence of performance analysis and synthesis for stochastic control and filtering
- Concepts and performance indexes proposed reflect the requirements of engineering practice
- Methodologies developed in this book include backward recursive Riccati difference equation approach and the discrete-time version of input-to-state stability in probability