rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Distributed Model Predictive Control Made Easy
  name:
    name part: Maestre, José M.
    role:
      role term: editor.
  name:
    name part: Negenborn, Rudy R.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: ne
    date issued: 2014
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVIII, 600 p. 138 illus. online resource.
  abstract: The rapid evolution of computer science, communication, and information technology has enabled the application of control techniques to systems beyond the possibilities of control theory just a decade ago. Critical infrastructures such as electricity, water, traffic and intermodal transport networks are now in the scope of control engineers. The sheer size of such large-scale systems requires the adoption of advanced distributed control approaches. Distributed model predictive control (MPC) is one of the promising control methodologies for control of such systems. This book provides a state-of-the-art overview of distributed MPC approaches, while at the same time making clear directions of research that deserve more attention. The core and rationale of 35 approaches are carefully explained. Moreover, detailed step-by-step algorithmic descriptions of each approach are provided. These features make the book a comprehensive guide both for those seeking an introduction to distributed MPC as well as for those who want to gain a deeper insight in the wide range of distributed MPC techniques available.
  table of contents: Preface -- List of Contributors -- On 35 Approaches for Distributed MPC Made Easy, by R.R. Negenborn, J.M. Maestre.- Part I: From Small-Scale to Large-Scale. The Group of Autonomous Systems Perspective -- 1 Bargaining game based distributed MPC, by F. Valencia, J.D. López, J.A. Patiño, J.J. Espinosa.- 2 Cooperative tube-based distributed MPC for linear uncertain systems coupled via constraints, by P.A. Trodden, A.G. Richards -- 3 Price-driven coordination for distributed NMPC using a feedback control law, by R. Martí, D. Sarabia, C. de Prada -- 4 Distributed MPC for consensus and synchronization, by M.A. Müller, F. Allgöwer.- 5 Distributed MPC under coupled constraints based on Dantzig-Wolfe decomposition, by R. Bourdais, J. Buisson, D. Dumur, H. Guéguen, P-D. Moroşan -- 6 Distributed MPC via dual decomposition and alternative direction method of multipliers , by F. Farokhi, I. Shames, K.H. Johansson -- 7 D-SIORHC, distributed MPC with stability constraints based on a game approach, by J.M. Lemos, J.M. Igreja -- 8 A distributed-in-time NMPC-based coordination mechanism for resource sharing problems , by M.Y. Lamoudi, M. Alamir, P. Béguery -- 9 Rate analysis of inexact dual fast gradient method for distributed MPC, by I. Necoara -- 10 Distributed MPC via dual decomposition , by B. Biegel, J. Stoustrup, P. Andersen -- 11 Distributed optimization for MPC of linear dynamic networks, by E. Camponogara -- 12 Adaptive quasi-decentralized MPC of networked process systems, by Y. Hu, N.H. El-Farra.- 13 Distributed Lyapunov-based MPC, by R. Hermans, M. Lazar, A. Jokić -- 14 A distributed reference management scheme in presence of non-convex constraints: an MPC based approach, by F. Tedesco, D.M. Raimondo, A. Casavola -- 15 The distributed command governor approach in a nutshell, by A. Casavola, E. Garone, F. Tedesco -- 16 Mixed-integer programming techniques in distributed MPC problems, by I. Prodan, F. Stoican, S. Olaru, C. Stoica, S-I. Niculescu -- 17 Distributed MPC of inte…
  note: edited by José M. Maestre, Rudy R. Negenborn.
  subject:
    topic: Engineering
  subject:
    topic: Organization
  subject:
    topic: Planning
  subject:
    topic: Computer simulation
  subject:
    topic: System theory
  subject:
    topic: Vibration
  subject:
    topic: Dynamical systems
  subject:
    topic: Dynamics
  subject:
    topic: Control engineering
  subject:
    topic: Engineering
  subject:
    topic: Control
  subject:
    topic: Vibration, Dynamical Systems, Control
  subject:
    topic: Systems Theory, Control
  subject:
    topic: Organization
  subject:
    topic: Simulation and Modeling
  classification: TJ212-225
  classification: 629.8
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Intelligent Systems, Control and Automation: Science and Engineering, 69
  identifier: 9789400770065
  identifier: http://dx.doi.org/10.1007/978-94-007-7006-5
  record info:
    record creation date: 131110
    record change date: 20151204165536.0
    record identifier: 978-94-007-7006-5