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Distributed Model Predictive Control Made Easy Volume 69 – José M. Maestre, Rudy R. Negenborn – 1st Edition

Descripción

La rápida evolución de la informática, la comunicación y la tecnología de la información ha permitido la aplicación de técnicas de control a sistemas más allá de las posibilidades de la teoría de control en tan solo una década. Las infraestructuras críticas como la electricidad, el agua, el tráfico y las redes de transporte intermodal están ahora dentro del alcance de los ingenieros de control.

El gran tamaño de estos sistemas a gran escala requiere la adopción de enfoques avanzados de control distribuido. El control predictivo de modelo distribuido (MPC) es una de las metodologías de control prometedoras para el control de dichos sistemas.

Este libro proporciona una visión general de vanguardia de los enfoques de MPC distribuidos, al mismo tiempo que proporciona instrucciones claras de investigación que merecen más atención. El núcleo y la razón de 35 enfoques se explican cuidadosamente. Además, se proporcionan descripciones algorítmicas detalladas paso a paso de cada enfoque. Estas características hacen que el libro sea una guía completa tanto para aquellos que buscan una introducción al MPC distribuido como para aquellos que desean obtener una visión más profunda de la amplia gama de técnicas disponibles de MPC distribuido.

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  • 1 On 35 Approaches for Distributed MPC Made Easy
    RRNegenborn and JMMaestre

    Part I From Small-Scale to Large-Scale: The Group of Autonomous
    Systems Perspective

    2 Bargaining Game Based Distributed MPC
    FValencia, JDLópez, JAPatiño and JJEspinosa

    3 Cooperative Tube-Based Distributed MPC for Linear Uncertain Systems Coupled Via Constraints
    PATrodden and AGRichards

    4 Price-Driven Coordination for Distributed NMPC Using a Feedback Control Law
    RMartí, DSarabia and Cde Prada

    5 Distributed MPC for Consensus and Synchronization
    MAMüller and FAllgöwer

    6 Distributed MPC Under Coupled Constraints Basedon Dantzig-Wolfe Decomposition
    RBourdais, JBuisson, DDumur, HGuéguen and P.-DMoros¸an

    7 Distributed MPC Via Dual Decomposition and Alternative Direction Method of Multipliers
    FFarokhi, IShames and KHJohansson

    8 D-SIORHC, Distributed MPC with Stability Constraints Based on a Game Approach
    JMLemos and JMIgreja


    9 A Distributed-in-Time NMPC-Based Coordination Mechanism for Resource Sharing Problems
    MYLamoudi, MAlamir and PBéguery

    10 Rate Analysis of Inexact Dual Fast Gradient Methodfor Distributed MPC
    INecoara

    11 Distributed MPC Via Dual Decomposition
    BBiegel, JStoustrup and PAndersen

    12 Distributed Optimization for MPC of Linear Dynamic Networks
    ECamponogara

    13 Adaptive Quasi-Decentralized MPC of Networked Process Systems 09
    YHu and NHEl-Farra

    14 Distributed Lyapunov-Based MPC
    RHermans, MLazar and AJokic´

    15 A Distributed Reference Management Scheme in Presence of Non-Convex Constraints: An MPC Based Approach 3
    FTedesco, DMRaimondo and ACasavola

    16 The Distributed Command Governor Approach in a Nutshell
    ACasavola, EGarone and FTedesco

    17 Mixed-Integer Programming Techniques in Distributed MPC Problems
    IProdan, FStoican, SOlaru, CStoica and S.-INiculescu

    18 Distributed MPC of Interconnected Nonlinear Systems by Dynamic Dual Decomposition
    AGrancharova and TAJohansen

    19 Generalized Accelerated Gradient Methods for Distributed MPC Based on Dual Decomposition
    PGiselsson and ARantzer


    20 Distributed Multiple Shooting for Large Scale Nonlinear Systems
    AKozma, CSavorgnan and MDiehl

    21 Nash-Based Distributed MPC for Multi-Rate Systems 1
    SRoshany-Yamchi, RRNegenborn and AACornelio

    Part II From Large-Scale to Small-Scale: The Decomposed Monolithic System Perspective

    22 Cooperative Dynamic MPC for Networked Control Systems
    IJurado, DEQuevedo, KHJohansson and AAhlén

    23 Parallel Implementation of Hybrid MPC
    DAxehill and AHansson

    24 A Hierarchical MPC Approach with Guaranteed Feasibility for Dynamically Coupled Linear Systems
    MDDoan, TKeviczky and BDe Schutter

    25 Distributed MPC Based on a Team Game
    JMMaestre, FJMuros, FFele, DMuñoz de la Peñaand EFCamacho

    26 Distributed MPC: A Noncooperative Approach Basedon Robustness Concepts
    GBetti, MFarina and RScattolini

    27 Decompositions of Augmented Lagrange Formulations for Serial and Parallel Distributed MPC
    RRNegenborn

    28 A Hierarchical Distributed MPC Approach: A Practical Implementation
    AZafra-Cabeza and JMMaestre

    29 Distributed MPC Based on Agent Negotiation
    JMMaestre, DMuñoz de la Peña and EFCamacho

    30 Lyapunov-based Distributed MPC Schemes: Sequential and Iterative Approaches
    JLiu, DMuñoz de la Peña and PDChristofides
    Contents xi

    31 Multi-layer Decentralized MPC of Large-Scale Networked Systems
    COcampo-Martinez, VPuig, JMGrosso and SMontes-de-Oca

    32 Distributed MPC Using Reinforcement Learning Based Negotiation: Application to Large Scale Systems
    BMorcego, VJavalera, VPuig and RVito

    33 Hierarchical MPC for Multiple Commodity Transportation Networks
    JLNabais, RRNegenborn, RBCarmona-Benítez, LFMendonça and MABotto

    34 On the Use of Suboptimal Solvers for Efficient Cooperative Distributed Linear MPC
    GPannocchia, SJWright and JBRawlings

    35 Cooperative Distributed MPC Integrating a Steady State Target Optimizer
    AFerramosca, DLimon and AHGonzález

    36 Cooperative MPC with Guaranteed Exponential Stability
    AFerramosca
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