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Robotic and mechatronic systems, autonomous vehicles, electric power systems and smart grids, and manufacturing and industrial production systems can exhibit complex nonlinear dynamics or spatio-temporal dynamics which need to be controlled to ensure good functioning and performance. In this comprehensive reference, the authors present new and innovative control and estimation methods and techniques based on dynamical nonlinear and partial differential equation systems which will be of interest to professionals and researchers working on solving control problems such as stability and robustness issues.
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