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Hybrid Dynamical Systems [electronic resource] : Observation and Control / edited by Mohamed Djemai, Michael Defoort.

Contributor(s): Djemai, Mohamed [editor.] | Defoort, Michael [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Control and Information Sciences: 457Publisher: Cham : Springer International Publishing : Imprint: Springer, 2015Description: XVII, 332 p. 74 illus., 30 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319107950.Subject(s): Engineering | Special purpose computers | System theory | Biomathematics | Control engineering | Robotics | Automation | Engineering | Control | Systems Theory, Control | Special Purpose and Application-Based Systems | Robotics and Automation | Mathematical and Computational BiologyAdditional physical formats: Printed edition:: No titleDDC classification: 629.8 Online resources: Click here to access online
Contents:
From the Contents: Hybrid Systems and Verification by Abstraction -- Observer Design for Discrete-time Switching Nonlinear Models.-Self-Triggered Robust Control of Nonlinear Stochastic Systems -- Nonlinear Observer for Autonomous Switching Systems with Jumps.
In: Springer eBooksSummary: This book is a collection of contributions defining the state of current knowledge and new trends in hybrid systems - systems involving both continuous dynamics and discrete events - as described by the work of several well-known groups of researchers. 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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From the Contents: Hybrid Systems and Verification by Abstraction -- Observer Design for Discrete-time Switching Nonlinear Models.-Self-Triggered Robust Control of Nonlinear Stochastic Systems -- Nonlinear Observer for Autonomous Switching Systems with Jumps.

This book is a collection of contributions defining the state of current knowledge and new trends in hybrid systems - systems involving both continuous dynamics and discrete events - as described by the work of several well-known groups of researchers. 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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