A Quadratic Constraint Approach to Model Predictive Control of Interconnected Systems (Hardcover, 1st ed. 2018)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	Studies in Systems, Decision and Control, 148
Release date:	March 2018
First published:	2018
Authors:	Anthony Tri Tran C. • Quang Ha
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	236
Edition:	1st ed. 2018
ISBN-13:	978-981-10-8407-2
Categories:	Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
LSN:	981-10-8407-6
Barcode:	9789811084072

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