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From aerodynamic curve identification robotics to neuromuscular stimulation, Iterative Learning Control (ILC), has many applications. A system may have uncertainties in its dynamic model and its environment. Using system repetitiveness, ILC reduces uncertainties and improves control performance.
In this volume the important concept of switched and impulsive control is discussed, with a wide field of applications in the analysis and control of complex systems.
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