Shi, Dawei.
Event-Based State Estimation A Stochastic Perspective / [electronic resource] : by Dawei Shi, Ling Shi, Tongwen Chen. - 1st ed. 2016. - XIII, 208 p. 37 illus., 32 illus. in color. online resource. - Studies in Systems, Decision and Control, 41 2198-4190 ; . - Studies in Systems, Decision and Control, 41 .
Introduction -- Linear Gaussian Systems and Event-Based State Estimation -- Event-Triggered Sampling -- Approximate Optimal Filtering Approaches -- Constrained Optimization Approach -- Set-Valued Filtering Approach -- Probabilistic Approach -- Communications Rate Analysis -- Open Problems -- Appendices: Brief Review of Probability Theory; Linear Estimation Theory.
This book explores event-based estimation problems. It shows how several stochastic approaches are developed to maintain estimation performance when sensors perform their updates at slower rates only when needed. The self-contained presentation makes this book suitable for readers with no more than a basic knowledge of probability analysis, matrix algebra and linear systems. The introduction and literature review provide information, while the main content deals with estimation problems from four distinct angles in a stochastic setting, using numerous illustrative examples and comparisons. The text elucidates both theoretical developments and their applications, and is rounded out by a review of open problems. This book is a valuable resource for researchers and students who wish to expand their knowledge and work in the area of event-triggered systems. At the same time, engineers and practitioners in industrial process control will benefit from the event-triggering technique that reduces communication costs and improves energy efficiency in wireless automation applications. .
9783319266060
10.1007/978-3-319-26606-0 doi
Control engineering.
Probabilities.
Electric power production.
System theory.
Control theory.
Control and Systems Theory.
Probability Theory.
Electrical Power Engineering.
Systems Theory, Control .
TJ212-225
629.8312 003
Event-Based State Estimation A Stochastic Perspective / [electronic resource] : by Dawei Shi, Ling Shi, Tongwen Chen. - 1st ed. 2016. - XIII, 208 p. 37 illus., 32 illus. in color. online resource. - Studies in Systems, Decision and Control, 41 2198-4190 ; . - Studies in Systems, Decision and Control, 41 .
Introduction -- Linear Gaussian Systems and Event-Based State Estimation -- Event-Triggered Sampling -- Approximate Optimal Filtering Approaches -- Constrained Optimization Approach -- Set-Valued Filtering Approach -- Probabilistic Approach -- Communications Rate Analysis -- Open Problems -- Appendices: Brief Review of Probability Theory; Linear Estimation Theory.
This book explores event-based estimation problems. It shows how several stochastic approaches are developed to maintain estimation performance when sensors perform their updates at slower rates only when needed. The self-contained presentation makes this book suitable for readers with no more than a basic knowledge of probability analysis, matrix algebra and linear systems. The introduction and literature review provide information, while the main content deals with estimation problems from four distinct angles in a stochastic setting, using numerous illustrative examples and comparisons. The text elucidates both theoretical developments and their applications, and is rounded out by a review of open problems. This book is a valuable resource for researchers and students who wish to expand their knowledge and work in the area of event-triggered systems. At the same time, engineers and practitioners in industrial process control will benefit from the event-triggering technique that reduces communication costs and improves energy efficiency in wireless automation applications. .
9783319266060
10.1007/978-3-319-26606-0 doi
Control engineering.
Probabilities.
Electric power production.
System theory.
Control theory.
Control and Systems Theory.
Probability Theory.
Electrical Power Engineering.
Systems Theory, Control .
TJ212-225
629.8312 003