Sliding Mode Control and Observation (Control Engineering)
The sliding mode control methodology has proven effective in dealing with complex dynamical systems affected by disturbances, uncertainties and unmodeled dynamics. Robust control technology based on this methodology has been applied to many real-world problems, especially in the areas of aerospace control, electric power systems,...
Reinforcement Learning and Approximate Dynamic Programming for Feedback Control
Modern day society relies on the operation of complex systems including aircraft, automobiles,
electric power systems, economic entities, business organizations, banking
and finance systems, computer networks, manufacturing systems, and industrial processes,
Decision and control are responsible for ensuring that these systems perform... Simulating Continuous Fuzzy Systems (Studies in Fuzziness and Soft Computing) This book is the companion text to Simulating Fuzzy Systems which investigated discrete fuzzy systems through crisp discrete simulation. The current book studies continuous fuzzy dynamical systems using crisp continuous simulation. We start with a crisp continuous dynamical system whose evolution depends on a system of ordinary differential...
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