Performance Analysis and Synthesis for Discrete-Time Stochastic Systems with Network-Enhanced Complexities - Info and Reading Options
By Derui Ding, Zidong Wang and Guoliang Wei
"Performance Analysis and Synthesis for Discrete-Time Stochastic Systems with Network-Enhanced Complexities" was published by Taylor & Francis Group in 2018 - Boca Raton, FL, it has 249 pages and the language of the book is English.
“Performance Analysis and Synthesis for Discrete-Time Stochastic Systems with Network-Enhanced Complexities” Metadata:
- Title: ➤ Performance Analysis and Synthesis for Discrete-Time Stochastic Systems with Network-Enhanced Complexities
- Authors: Derui DingZidong WangGuoliang Wei
- Language: English
- Number of Pages: 249
- Publisher: Taylor & Francis Group
- Publish Date: 2018
- Publish Location: Boca Raton, FL
“Performance Analysis and Synthesis for Discrete-Time Stochastic Systems with Network-Enhanced Complexities” Subjects and Themes:
- Subjects: ➤ Automatic control - Discrete-time systems - Stochastic processes - Mathematics - Stochastic Processes - Commande automatique - Mathématiques - Processus stochastiques - Systèmes échantillonnés - TECHNOLOGY & ENGINEERING - Engineering (General) - MATHEMATICS - Differential Equations - TECHNOLOGY - Electricity
Edition Identifiers:
- The Open Library ID: OL33780887M - OL25220387W
- ISBN-13: 9780429880032
- All ISBNs: 9780429880032
AI-generated Review of “Performance Analysis and Synthesis for Discrete-Time Stochastic Systems with Network-Enhanced Complexities”:
"Performance Analysis and Synthesis for Discrete-Time Stochastic Systems with Network-Enhanced Complexities" Description:
Open Data:
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
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