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A quadratic constraint approach to m...

Tri Tran C., Anthony.

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A quadratic constraint approach to model predictive control of interconnected systems

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	A quadratic constraint approach to model predictive control of interconnected systems/ by Anthony Tri Tran C., Quang Ha.
作者:	Tri Tran C., Anthony.
其他作者:	Ha, Quang.
出版者:	Singapore :Springer Singapore : : 2018.,
面頁冊數:	xvii, 236 p. :ill., digital ;24 cm.
內容註:	Introduction -- Quadratic Constraint for Decentralised Model Predictive Control -- Quadratic Constraint for Parallel Splitting Systems -- Quadratic Constraint for Semi-Automatic Control -- Quadratic Constraint with Data Losses.
Contained By:	Springer eBooks
標題:	Predictive control. -
電子資源:	http://dx.doi.org/10.1007/978-981-10-8409-6
ISBN:	9789811084096

A quadratic constraint approach to model predictive control of interconnected systems
Tri Tran C., Anthony.

A quadratic constraint approach to model predictive control of interconnected systems[electronic resource] /by Anthony Tri Tran C., Quang Ha. - Singapore :Springer Singapore :2018. - xvii, 236 p. :ill., digital ;24 cm. - Studies in systems, decision and control,v.1482198-4182 ;. - Studies in systems, decision and control ;v.148..

Introduction -- Quadratic Constraint for Decentralised Model Predictive Control -- Quadratic Constraint for Parallel Splitting Systems -- Quadratic Constraint for Semi-Automatic Control -- Quadratic Constraint with Data Losses.

This book focuses on the stabilization and model predictive control of interconnected systems with mixed connection configurations. It introduces the concept of dissipation-based quadratic constraint for developing attractivity assurance methods for interconnected systems. In order to develop these methods, distributed and decentralized architectures are employed, whereby the communication between subsystems is fully connected, partially connected, or completely disconnected. Given that the control inputs are entirely or partially decoupled between subsystems and no additional constraints are imposed on the interactive variables beyond the coupling constraint itself, the proposed approaches can be used with various types of systems and applications. Further, the book describes how the effects of coupling delays and data losses in device networks are resolved. From a practical perspective, the innovations presented are of benefit in applications in a broad range of fields, including the process and manufacturing industries, networked robotics, and network-centric systems such as chemical process systems, power systems, telecommunication networks, transportation networks, and, no less importantly, supply chain automation.

ISBN: 9789811084096

Standard No.: 10.1007/978-981-10-8409-6doiSubjects--Topical Terms:

667592
Predictive control.

LC Class. No.: TJ217.6

Dewey Class. No.: 003.5

A quadratic constraint approach to model predictive control of interconnected systems
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520 $a This book focuses on the stabilization and model predictive control of interconnected systems with mixed connection configurations. It introduces the concept of dissipation-based quadratic constraint for developing attractivity assurance methods for interconnected systems. In order to develop these methods, distributed and decentralized architectures are employed, whereby the communication between subsystems is fully connected, partially connected, or completely disconnected. Given that the control inputs are entirely or partially decoupled between subsystems and no additional constraints are imposed on the interactive variables beyond the coupling constraint itself, the proposed approaches can be used with various types of systems and applications. Further, the book describes how the effects of coupling delays and data losses in device networks are resolved. From a practical perspective, the innovations presented are of benefit in applications in a broad range of fields, including the process and manufacturing industries, networked robotics, and network-centric systems such as chemical process systems, power systems, telecommunication networks, transportation networks, and, no less importantly, supply chain automation.
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