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Sliding Mode Control of Uncertain Parameter-Switching Hybrid Systems
Peng Shi, Ligang Wu, Xiaojie Su, et al.
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Naturwissenschaften, Medizin, Informatik, Technik / Maschinenbau, Fertigungstechnik
Beschreibung
In control theory, sliding mode control (SMC) is a nonlinear control method that alters the dynamics of a nonlinear system by application of a discontinuous control signal that forces the system to slide along a cross-section of the system's normal behaviour. In recent years, SMC has been successfully applied to a wide variety of practical engineering systems including robot manipulators, aircraft, underwater vehicles, spacecraft, flexible space structures, electrical motors, power systems, and automotive engines. Sliding Mode Control of Uncertain Parameter-Switching Hybrid Systems addresses the increasing demand for developing SMC technologies and comprehensively presents the new, state-of-the-art sliding mode control methodologies for uncertain parameter-switching hybrid systems. It establishes a unified framework for SMC of Markovian jump singular systems and proposes new SMC methodologies based on the analysis results. A series of problems are solved with new approaches for analysis and synthesis of switched hybrid systems, including stability analysis and stabilization, dynamic output feedback control, and SMC. A set of newly developed techniques (e.g. average dwell time, piecewise Lyapunov function, parameter-dependent Lyapunov function, cone complementary linearization) are exploited to handle the emerging mathematical/computational challenges. Key features: * Covers new concepts, new models and new methodologies with theoretical significance in system analysis and control synthesis * Includes recent advances in Markovian jump systems, switched hybrid systems, singular systems, stochastic systems and time-delay systems * Includes solved problems * Introduces advanced techniques Sliding Mode Control of Uncertain Parameter-Switching Hybrid Systems is a comprehensive reference for researchers and practitioners working in control engineering, system sciences and applied mathematics, and is also a useful source of information for senior undergraduate and graduates studying in these areas.
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Control Process & Measurements, Mathematics, Mathematik, Maschinenbau, Mechanical Engineering, Control Systems Technology, Mess- u. Regeltechnik, Regelungstechnik, Applied Mathematics in Engineering, Electrical & Electronics Engineering, Mathematik in den Ingenieurwissenschaften, Elektrotechnik u. Elektronik