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.
