A quadratic constraint approach to model predictive control of interconnected systems 1st ed.

Author

• Tri Tran C., Anthony

Additional Author(s)

• Ha, Quang

Publisher

Cham: Springer International Publishing, 2018

Language

English

ISBN

9789811084096

Series

Studies in Systems, Decision and Control 148

Subject(s)

• COMPUTATIONAL INTELLIGENCE
• LARGE SCALE SYSTEMS
• TELECOMMUNICATION

Notes

. .

Abstract

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.

Physical Dimension

Number of Page(s)

1 online resource (xvii, 236 p.)

Dimension

-

Other Desc.

ill. (some col.)

Summary / Review / Table of Content

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.

Exemplar(s)

#	Accession No.	Call Number	Location	Status
1.	00614/20	003.5 Tri Q	Online !	Available