A Quadratic Constraint Approach to Model Predictive Control of Interconnected Systems

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...

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1. Verfasser: Tri Tran C., Anthony (VerfasserIn)
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: Singapore : Springer Singapore , 2018.
Ausgabe:1st ed. 2018.
Schriftenreihe:Studies in Systems, Decision and Control, 148
Schlagworte:
ISBN:9789811084096
ISSN:2198-4182 ;
Online-Zugang: Volltext
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245 1 2 |a A Quadratic Constraint Approach to Model Predictive Control of Interconnected Systems  |h [electronic resource] /  |c by Anthony Tri Tran C., Quang Ha. 
250 |a 1st ed. 2018. 
260 1 |a Singapore :  |b Springer Singapore ,  |c 2018. 
300 |a XVII, 236 p. 100 illus., 83 illus. in color.  |b online resource. 
490 1 |a Studies in Systems, Decision and Control,  |x 2198-4182 ;  |v 148 
500 |a Engineering  
505 0 |a 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. 
516 |a text file PDF 
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. 
650 0 |a Computational intelligence. 
650 0 |a Control engineering. 
650 0 |a Electrical engineering. 
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