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    Formation Control of Multi-Agent Systems

    A Graph Rigidity Approach

    AvMarcio de Queiroz,Xiaoyu Cai

    Inbunden, Engelska, 2019

    Del i serien Wiley Series in Dynamics and Control of Electromechanical Systems

    1 887 kr

    Beställningsvara. Skickas inom 3-6 vardagar. Fri frakt över 249 kr.

    Beskrivning

    A comprehensive guide to formation control of multi-agent systems using rigid graph theoryThis book is the first to provide a comprehensive and unified treatment of the subject of graph rigidity-based formation control of multi-agent systems. Such systems are relevant to a variety of emerging engineering applications, including unmanned robotic vehicles and mobile sensor networks. Graph theory, and rigid graphs in particular, provides a natural tool for describing the multi-agent formation shape as well as the inter-agent sensing, communication, and control topology.Beginning with an introduction to rigid graph theory, the contents of the book are organized by the agent dynamic model (single integrator, double integrator, and mechanical dynamics) and by the type of formation problem (formation acquisition, formation manoeuvring, and target interception). The book presents the material in ascending level of difficulty and in a self-contained manner; thus, facilitating reader understanding.Key features: Uses the concept of graph rigidity as the basis for describing the multi-agent formation geometry and solving formation control problems.Considers different agent models and formation control problems.Control designs throughout the book progressively build upon each other.Provides a primer on rigid graph theory.Combines theory, computer simulations, and experimental results.Formation Control of Multi-Agent Systems: A Graph Rigidity Approach is targeted at researchers and graduate students in the areas of control systems and robotics. Prerequisite knowledge includes linear algebra, matrix theory, control systems, and nonlinear systems.

    Produktinformation

    • Utgivningsdatum:2019-02-08
    • Mått:158 x 231 x 18 mm
    • Vikt:431 g
    • Format:Inbunden
    • Språk:Engelska
    • Serie:Wiley Series in Dynamics and Control of Electromechanical Systems
    • Antal sidor:208
    • Förlag:John Wiley & Sons Inc
    • ISBN:9781118887448

    Utforska kategorier

    • Elektronik och kommunikationer inom Naturvetenskap och teknik
    • Nätverk och kommunikation inom Data och IT

    Mer om författaren

    MARCIO DE QUEIROZ joined the Department of Mechanical and Industrial Engineering at Louisiana State University in 2000, where he is currently the Roy O. Martin Lumber Company Professor. In 2005, he was the recipient of the NSF CAREER award. He has served as an Associate Editor for the IEEE Transactions on Automatic Control, the IEEE/ASME Transactions on Mechatronics, the ASME Journal of Dynamic Systems, Measurement, and Control, and the IEEE Transactions on Systems, Man, and Cybernetics – Part B. His research interests include nonlinear control, multi-agent systems, robotics, active magnetic and mechanical bearings, and biological/biomedical system modelling and control.XIAOYU CAI joined the job search group in LinkedIn in 2018, where he is currently a software engineer. He received the 2013 Outstanding Research Assistant Award from the Department of Mechanical and Industrial Engineering at LSU for his doctoral research on formation control of multi-agent systems. His research interests include computer vision, reinforcement learning, nonlinear control theory and applications, multi-agent systems, robotics, process control, control of high-precision servo systems.MATTHEW FEEMSTER joined the Weapons, Robotics, and Controls Engineering Department of the U.S. Naval Academy in Annapolis, MD, in 2002 and where he is currently an Associate Professor. His research interests are in the utilization of nonlinear control theory to promote mission capabilities in such fielded applications as autonomous air, ground, and marine vehicles.

    Innehållsförteckning

    • Preface xiAbout the Companion Website xiii1 Introduction 11.1 Motivation 11.2 Notation 61.3 Graph Theory 71.3.1 Graph 71.3.2 Framework 91.3.3 Rigid Graphs 111.3.4 Infinitesimal Rigidity 141.3.5 Minimal Rigidity 191.3.6 Framework Ambiguities 201.3.7 Global Rigidity 221.4 Formation Control Problems 231.5 Book Overview and Organization 261.6 Notes and References 282 Single-Integrator Model 292.1 Formation Acquisition 292.2 Formation Maneuvering 352.3 Flocking 362.3.1 Constant Flocking Velocity 372.3.2 Time-Varying Flocking Velocity 382.4 Target Interception with Unknown Target Velocity 402.5 Dynamic Formation Acquisition 432.6 Simulation Results 452.6.1 Formation Acquisition 452.6.2 Formation Maneuvering 512.6.3 Flocking 562.6.4 Target Interception 582.6.5 Dynamic Formation 632.7 Notes and References 663 Double-Integrator Model 713.1 Cross-Edge Energy 733.2 Formation Acquisition 753.3 Formation Maneuvering 763.4 Target Interception with Unknown Target Acceleration 773.5 Dynamic Formation Acquisition 793.6 Simulation Results 803.6.1 Formation Acquisition 803.6.2 Dynamic Formation Acquisition with Maneuvering 813.6.3 Target Interception 843.7 Notes and References 874 Robotic Vehicle Model 914.1 Model Description 914.2 Nonholonomic Kinematics 934.2.1 Control Design 934.2.2 Simulation Results 944.3 Holonomic Dynamics 974.3.1 Model-Based Control 984.3.2 Adaptive Control 1004.3.3 Simulation Results 1024.4 Notes and References 1025 Experimentation 1075.1 Experimental Platform 1075.2 Vehicle Equations of Motion 1105.3 Low-Level Control Design 1135.4 Experimental Results 1145.4.1 Single Integrator: Formation Acquisition 1175.4.2 Single Integrator: Formation Maneuvering 1185.4.3 Single Integrator: Target Interception 1265.4.4 Single Integrator: Dynamic Formation 1285.4.5 Double Integrator: Formation Acquisition 1325.4.6 Double Integrator: Formation Maneuvering 1365.4.7 Double Integrator: Target Interception 1385.4.8 Double Integrator: Dynamic Formation 1485.4.9 Holonomic Dynamics: Formation Acquisition 1495.4.10 Summary 153A Matrix Theory and Linear Algebra 159B Functions and Signals 163C Systems Theory 165C.1 Linear Systems 165C.2 Nonlinear Systems 166C.3 Lyapunov Stability 168C.4 Input-to-State Stability 170C.5 Nonsmooth Systems 171C.6 Integrator Backstepping 172D Dynamic Model Terms 175References 177Index 187