Multiple intelligent agent systems are commonly used in research requiring complex behavior. Synchronization control provides an advantage in solving the problem of multi-agent coordination. This book focuses on the use of synchronization control to coordinate the group behavior of multiple agents. The author includes numerous real-world application examples from robotics, automation, and advanced manufacturing. Giving a detailed look at cross-coupling based synchronization control, the text covers such topics as adaptive synchronization control, synchronous tracking control of parallel manipulators, and minimization of contouring errors of CNC machine tools with synchronization controls.
Inhalt
Introduction Background Synchronization Outline of the Book Synchronization Strategy Concept of Synchronization Synchronization Control Goal Synchronization Errors Model-Free Synchronization Control of Multiple Motion Axes Problem Statement Position Synchronization Errors and Control Strategy Multiaxis Synchronization in Setpoint Position Control Multiaxis Synchronization in Tracking Control Experiments Synchronized Control of Multiaxis Systems in Trajectory Tracking Synchronization Strategy of Multiagent Motions Model-Based Cross-Coupling Synchronization Control Adaptive Synchronization Control Case Study: Adaptive Coupling Control of Two Working Operations in Computer Numerical Control Integrated Machine Adaptive Synchronization Control for Coordination of Multiple Robot Manipulators Motion Synchronization Strategy of Multiple Manipulators Adaptive Synchronization Control Case Studies: Experiments of Coordinating Two Industrial Manipulators; Simulations of Coordinating Multiple Manipulators Synchronization Control for Minimization of Contouring Errors of Computer Numerically Controlled Machine Tools Modeling of a Computer Numerical Control Machine Tool Contouring Errors and Synchronization Errors: Controller Formulation and Stability Analysis Experiments Synchronization Control of Parallel Robotic Manipulators Modeling and Synchronization Error of Parallel Manipulators Control Design Experiments A Synchronization Approach to Multirobot Formations Multirobot Formation via Synchronization Control Design: Synchronous Formation Controller Discussions: Boundedness; Adaptive Control for Robustness Simulations Multirobot Formation Experiments Case 1: Triangle Formation Case 2: Ellipse Formation Most chapters contain introductions, summaries, and references.