Event-Based State Estimation : A Stochastic Perspective
Shi, Dawei
Event-Based State Estimation : A Stochastic Perspective by Dawei Shi, Ling Shi, Tongwen Chen - 1st ed. - Cham Springer International Publishing 2016 - 1 recurso en línea (XIII, 208 p.) 37 ilustraciones, 32 ilustraciones col. - Studies in Systems, Decision and Control 41 2198-4182 . - Studies in Systems, Decision and Control 41 .
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
Sistemas de control digital
TJ223.M53 / S553 2016 EB
Event-Based State Estimation : A Stochastic Perspective by Dawei Shi, Ling Shi, Tongwen Chen - 1st ed. - Cham Springer International Publishing 2016 - 1 recurso en línea (XIII, 208 p.) 37 ilustraciones, 32 ilustraciones col. - Studies in Systems, Decision and Control 41 2198-4182 . - Studies in Systems, Decision and Control 41 .
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
Sistemas de control digital
TJ223.M53 / S553 2016 EB