
Hybrid Dynamical Systems
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Hybrid Dynamical Systems presents theoretical advances in such areas as diagnosability, observability and stabilization for various classes of system. Continuous and discrete state estimation and self-triggering control of nonlinear systems are advanced. The text employs various methods, among them, high-order sliding modes, Takagi-Sugeno representation and sampled-data switching to achieve its ends.
The many applications of hybrid systems from power converters to computer science are not forgotten; studies of flexible-joint robotic arms and - as representative biological systems - the behaviour of the human heart and vasculature, demonstrate the wide-ranging practical significance of control in hybrid systems. The cross-disciplinary origins of study in hybrid systems are evident.
Academic researchers and graduate students interested in hybrid and switched systems need look no further than Hybrid Dynamical Systems for a single source which will bring them up to date with work in this area from around the world.
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Michael Defoort has been an Assistant Professor at the University of Valenciennes since 2009. For seven years, Michael Defoort's research interests include observer theory and nonlinear control with applications to multi-agent systems. He has established a new branch of the sliding mode control theory (i.e. integral sliding mode control) with applications in robotics. Since three years, he has extended his research activity in the Switched and Hybrid Dynamical Systems areas, with applications in self-triggering control. From 2007 to 2008, he was a Research Fellow with the Department of System Design Engineering, Keio University, Japan. He has been leading international collaborations with Keio University (Japan), Kyungpook National University (South Korea), University of L'Aquila (Italy) and Kaiserslautern University (Germany). He has published more than 55 papers (including 16 journals) in his area of research.
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