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OverviewFull Product DetailsAuthor: José M. Maestre , Rudy R. NegenbornPublisher: Springer Imprint: Springer Edition: Softcover reprint of the original 1st ed. 2014 Volume: 69 Dimensions: Width: 15.50cm , Height: 3.20cm , Length: 23.50cm Weight: 9.241kg ISBN: 9789402407143ISBN 10: 9402407146 Pages: 600 Publication Date: 18 September 2016 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: In Print  This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsPreface.- 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 interconnected nonlinear systems by dynamic dual decomposition, by A. Grancharova, T.A. Johansen.- 18 Generalized accelerated gradient methods for distributed MPC based on dual decomposition, by P. Giselsson, A. Rantzer.- 19 Distributed multiple shooting for large scale nonlinear systems, by A. Kozma, C. Savorgnan, M. Diehl.- 20 Nash-based distributed MPC for multi-rate systems , by S. Roshany-Yamchi, R.R. Negenborn, A.A. Cornelio.- Part II: From Large-Scale to Small-Scale –The Decomposed Monolithic System Perspective.- 21 Cooperative dynamic MPC for networked control systems, by I. Jurado, D.E. Quevedo, K.H. Johansson, A. Ahlén.- 22 Parallel implementation of hybrid MPC, by D. Axehill, A. Hansson.- 23 A hierarchical MPC approach with guaranteed feasibility for dynamically coupled linear systems , by M.D. Doan, T. Keviczky, B. De Schutter.- 24 Distributed MPC based on a team game, by J.M. Maestre, F.J. Muros, F. Fele, D. Muñoz de la Peña, E. F. Camacho.- 25 Distributed MPC: A noncooperative approach based on robustness concepts , by G. Betti, M. Farina, R. Scattolini.- 26 Decompositions of augmented Lagrange formulations for serial and parallel distributed MPC, by R.R. Negenborn.- 27 A hierarchical distributed MPC approach: A practical implementation, by A. Zafra-Cabeza, J.M. Maestre.- 28 Distributed MPC based on agent negotiation, by J.M. Maestre, D. Muñoz de la Peña, E.F. Camacho.- 29 Lyapunov-based distributed MPC schemes: Sequential and iterative approaches, by J. Liu, D. Muñoz de la Peña, P.D. Christofides.- 30 Multi-layer decentralized MPC of large-scale networked systems, by C. Ocampo-Martinez, V. Puig, J.M. Grosso, S. Montes-de-Oca.- 31 Distributed MPC using reinforcement learning based negotiation: Application to large scale systems, by B. Morcego, V. Javalera, V. Puig, R. Vito.- 32 Hierarchical MPC for multiple commodity transportation networks, by J.L. Nabais, R.R. Negenborn, R.B. Carmona-Benítez, L.F. Mendonça, M.A. Botto.- 33 On the use of suboptimal solvers for efficient cooperative distributed linear MPC, by G. Pannocchia, S.J. Wright, J.B. Rawlings.- 34 Cooperative distributed MPC integrating a steady state target optimizer, by A. Ferramosca, D. Limon, A.H. González.- 35 Cooperative MPC with guaranteed exponential stability, by A. Ferramosca.ReviewsFrom the reviews: This book presents a modern solution for the control and monitoring of complex structures using distributed control systems based on high-level communication protocols dedicated to control applications. ... this book will be particularly interesting to readers in academia and research who wish to acquire a theoretical knowledge base and identify new areas of research. ... practitioners may find it a useful handbook to assist in current projects. (Eugen Petac, Computing Reviews, February, 2014) From the reviews: This book presents a modern solution for the control and monitoring of complex structures using distributed control systems based on high-level communication protocols dedicated to control applications. ... this book will be particularly interesting to readers in academia and research who wish to acquire a theoretical knowledge base and identify new areas of research. ... practitioners may find it a useful handbook to assist in current projects. (Eugen Petac, Computing Reviews, February, 2014) Author InformationTab Content 6Author Website:Countries AvailableAll regions |
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