A Quadratic Constraint Approach to Model Predictive Control of Interconnected Systems

  • Anthony Tri Tran C.
  • Quang Ha

Part of the Studies in Systems, Decision and Control book series (SSDC, volume 148)

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Anthony Tri Tran C., Quang Ha
    Pages 1-29
  3. Anthony Tri Tran C., Quang Ha
    Pages 31-57
  4. Anthony Tri Tran C., Quang Ha
    Pages 59-79
  5. Anthony Tri Tran C., Quang Ha
    Pages 81-105
  6. Anthony Tri Tran C., Quang Ha
    Pages 107-150
  7. Anthony Tri Tran C., Quang Ha
    Pages 151-178
  8. Anthony Tri Tran C., Quang Ha
    Pages 179-207
  9. Back Matter
    Pages 209-236

About this book


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.


Asymptotically Positive Realness Constraint (APRC) Input-to-Power-and-State Stability (IPSS) Input-to-State Stability (ISS) Linear Matrix Inequality (LMI) Model Predictive Control (MPC) Nonlinear Input-Affine Systems Quadratic Dissipativity Constraint (QDC)

Authors and affiliations

  • Anthony Tri Tran C.
    • 1
  • Quang Ha
    • 2
  1. 1.Cambridge CARESSingaporeSingapore
  2. 2.University of Technology SydneySydneyAustralia

Bibliographic information

  • DOI
  • Copyright Information Springer Nature Singapore Pte Ltd. 2018
  • Publisher Name Springer, Singapore
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-981-10-8407-2
  • Online ISBN 978-981-10-8409-6
  • Series Print ISSN 2198-4182
  • Series Online ISSN 2198-4190
  • Buy this book on publisher's site
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