Continuum deformation of multi-agent systems. (2016)
- Record Type:
- Book
- Title:
- Continuum deformation of multi-agent systems. (2016)
- Main Title:
- Continuum deformation of multi-agent systems
- Further Information:
- Note: Hossein Rastgoftar.
- Authors:
- Rastgoftar, Hossein
- Contents:
- Preface; Contents; 1 Introduction; 1.1 Available Methods for Formation Control; 1.1.1 The Consensus Algorithm; 1.1.2 The PDE-Based Model; 1.1.3 The Containment Control Approach; 1.1.4 Problems Definitions; 1.2 MAS Evolution As Continuum Deformation; 2 Homogeneous Deformation without Interagent Communication; 2.1 Homogeneous Transformation; 2.1.1 Homogeneous Deformation of the Leading Polytope; 2.1.2 Homogeneous Deformation of the Leading Triangle; 2.1.3 Homogeneous Deformation of Agents with Finite Size; 2.1.4 Force Analysis; 2.1.5 Path Planning: MAS As Particles of Newtonian Viscous Flow. 2.2 Evolution of a Multi-Agent System with Constrained Dynamics2.3 Homogeneous Deformation of Followers with Linear Dynamics; 2.3.1 Continuous Time; 2.3.2 Discrete Time Finite Time Reachability Model; 3 Homogeneous Deformation of Multi-Agent Systems Communication; 3.1 Graph Theory Notions and Definitions; 3.2 Protocol of Minimum Communication; 3.2.1 Communication Weights; 3.2.2 Weight Matrix; 3.2.3 MAS Evolution Dynamics-First Order Kinematic Model-Method 1; 3.2.3.1 Evolution of Followers in Absence of Communication Delays; 3.2.3.2 Dynamics of Followers in Presence of Communication Delays. 3.2.3.3 Stability of Delayed MAS Evolution Using Eigen-Analysis3.2.4 MAS Evolution Dynamics-First Order Kinematic Model-Method 2; 3.3 Homogeneous Deformation of an MAS Using Preservation of Volumetric Ratios; 3.4 Comparison of the Different Continuous-Time Algorithms for Homogeneous Deformation of anPreface; Contents; 1 Introduction; 1.1 Available Methods for Formation Control; 1.1.1 The Consensus Algorithm; 1.1.2 The PDE-Based Model; 1.1.3 The Containment Control Approach; 1.1.4 Problems Definitions; 1.2 MAS Evolution As Continuum Deformation; 2 Homogeneous Deformation without Interagent Communication; 2.1 Homogeneous Transformation; 2.1.1 Homogeneous Deformation of the Leading Polytope; 2.1.2 Homogeneous Deformation of the Leading Triangle; 2.1.3 Homogeneous Deformation of Agents with Finite Size; 2.1.4 Force Analysis; 2.1.5 Path Planning: MAS As Particles of Newtonian Viscous Flow. 2.2 Evolution of a Multi-Agent System with Constrained Dynamics2.3 Homogeneous Deformation of Followers with Linear Dynamics; 2.3.1 Continuous Time; 2.3.2 Discrete Time Finite Time Reachability Model; 3 Homogeneous Deformation of Multi-Agent Systems Communication; 3.1 Graph Theory Notions and Definitions; 3.2 Protocol of Minimum Communication; 3.2.1 Communication Weights; 3.2.2 Weight Matrix; 3.2.3 MAS Evolution Dynamics-First Order Kinematic Model-Method 1; 3.2.3.1 Evolution of Followers in Absence of Communication Delays; 3.2.3.2 Dynamics of Followers in Presence of Communication Delays. 3.2.3.3 Stability of Delayed MAS Evolution Using Eigen-Analysis3.2.4 MAS Evolution Dynamics-First Order Kinematic Model-Method 2; 3.3 Homogeneous Deformation of an MAS Using Preservation of Volumetric Ratios; 3.4 Comparison of the Different Continuous-Time Algorithms for Homogeneous Deformation of an MAS; 3.5 Discrete Time Dynamics for Homogeneous Deformation of an MAS; 3.6 Final Remarks; 3.6.1 Homogeneous Deformation in a 3-D Space; 3.6.2 p-D Homogeneous Deformation in an n-D Space (pd"); 4 Higher Order Dynamics for MAS Evolution as Continuum Deformation. 4.1 Second Order Dynamics for Continuum Deformation of an MAS4.2 Asymptotic Tracking of Desired Positions; 4.3 MAS Evolution in Presence of Communication Delay; 5 Alignment as Biological Inspiration for Control of Multi-Agent Systems; 5.1 Initial Distribution of the Agents; 5.2 Evolution of Leader Agents; 5.3 Evolution of Follower Agents; 5.3.1 Followers' Desired Positions; 5.3.2 Perception Weights; 5.3.3 Followers' Dynamics; 5.4 Alignment Using Agents' Triangulation; 5.4.1 Evolution of the Secondary Leaders; 5.4.1.1 Evolution of the Secondary Leaders under No Communication. 5.4.1.2 Evolution of the Secondary Leaders under Local Communication5.4.2 Evolution of the Followers; 6 Deployment of a Multi-Agent System on a Desired Formation; 6.1 Definitions; 6.2 q-Communication Weight and q-Weight Matrix; 6.3 Agents' positions in the Desired Configuration; 6.4 Dynamics of Agents; 6.4.1 First-Order Dynamics for Evolution of the MAS; 6.4.2 Double Integrator Kinematic Model (Asymptotic Tracking of a Moving Desired Formation); 7 Continuum Deformation of a Multi-Agent System over Nonlinear Surfaces; 7.1 Discrete-Time Dynamics of Collective Motion on a Nonlinear Surface. … (more)
- Publisher Details:
- Cham, Switzerland : Birkhäuser
- Publication Date:
- 2016
- Extent:
- 1 online resource
- Subjects:
- 006.3
510
Multiagent systems
COMPUTERS -- General
Multiagent systems
Electronic books - Languages:
- English
- ISBNs:
- 9783319415949
3319415948 - Related ISBNs:
- 9783319415932
331941593X - Notes:
- Note: Includes bibliographical references and index.
Note: Online resource; title from PDF title page (SpringerLink, viewed December 27, 2016). - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.379111
- Ingest File:
- 02_360.xml