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.
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