Cooperative Coordination and Formation Control for Multi-agent Systems: Springer Theses
Autor Zhiyong Sunen Limba Engleză Hardback – 7 mar 2018
In addition, the thesis presents models of increasing complexity, from single integrator models, to double integrator models, to agents modeled by nonlinear kinematic and dynamic equations, including the familiar unicycle model and nonlinear system equations with drift terms. Presenting the fruits of a close collaboration between several top control groups at leading universities including Yale University, Groningen University, Purdue University and Gwangju Institute of Science and Technology (GIST), the thesis spans various research areas, including robustness issues in formations, quantization-based coordination, exponential stability in formation systems, and cooperative coordination of networked heterogeneous systems.
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Specificații
ISBN-13: 9783319742649
ISBN-10: 3319742647
Pagini: 171
Ilustrații: XXII, 179 p. 34 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.46 kg
Ediția:1st ed. 2018
Editura: Springer International Publishing
Colecția Springer
Seria Springer Theses
Locul publicării:Cham, Switzerland
ISBN-10: 3319742647
Pagini: 171
Ilustrații: XXII, 179 p. 34 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.46 kg
Ediția:1st ed. 2018
Editura: Springer International Publishing
Colecția Springer
Seria Springer Theses
Locul publicării:Cham, Switzerland
Cuprins
Introduction.- Theoretical preliminaries.- Invariance principles and equilibrium analysis for formation shape control systems.- Exponential stability for formation control systems with generalized controllers.- Formation Control Systems: Some Practical Considerations.- Distributed stabilization control of rigid formations with prescribed orientations.- Formation feasibility and motion generation of networked
heterogeneous systems.
Textul de pe ultima copertă
The thesis presents new results on multi-agent formation control, focusing on the distributed stabilization control of rigid formation shapes. It analyzes a range of current research problems such as problems concerning the equilibrium and stability of formation control systems, or the problem of cooperative coordination control when agents have general dynamical models, and discusses practical considerations arising during the implementation of established formation control algorithms.
In addition, the thesis presents models of increasing complexity, from single integrator models, to double integrator models, to agents modeled by nonlinear kinematic and dynamic equations, including the familiar unicycle model and nonlinear system equations with drift terms. Presenting the fruits of a close collaboration between several top control groups at leading universities including Yale University, Groningen University, Purdue University and Gwangju Institute of Science and Technology (GIST), the thesis spans various research areas, including robustness issues in formations, quantization-based coordination, exponential stability in formation systems, and cooperative coordination of networked heterogeneous systems.
In addition, the thesis presents models of increasing complexity, from single integrator models, to double integrator models, to agents modeled by nonlinear kinematic and dynamic equations, including the familiar unicycle model and nonlinear system equations with drift terms. Presenting the fruits of a close collaboration between several top control groups at leading universities including Yale University, Groningen University, Purdue University and Gwangju Institute of Science and Technology (GIST), the thesis spans various research areas, including robustness issues in formations, quantization-based coordination, exponential stability in formation systems, and cooperative coordination of networked heterogeneous systems.
Caracteristici
Nominated as an outstanding PhD thesis by the Australian National University, Canberra Reports on a comprehensive investigation into cooperative coordination control for networked multi-agent systems Addresses several long-standing research problems, including formation stability, robustness issues, and measurement constraints Advances potential drone formation applications by providing theoretical answers to several challenging problems in formation control