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Books > Reference & Interdisciplinary > Communication studies > Information theory > Cybernetics & systems theory
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Filtering and Control of Stochastic Jump Hybrid Systems (Hardcover, 1st ed. 2016)
Loot Price: R3,865
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Filtering and Control of Stochastic Jump Hybrid Systems (Hardcover, 1st ed. 2016)
Series: Studies in Systems, Decision and Control, 58
Expected to ship within 10 - 15 working days
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This book presents recent research work on stochastic jump hybrid
systems. Specifically, the considered stochastic jump hybrid
systems include Markovian jump Ito stochastic systems, Markovian
jump linear-parameter-varying (LPV) systems, Markovian jump
singular systems, Markovian jump two-dimensional (2-D) systems, and
Markovian jump repeated scalar nonlinear systems. Some sufficient
conditions are first established respectively for the stability and
performances of those kinds of stochastic jump hybrid systems in
terms of solution of linear matrix inequalities (LMIs). Based on
the derived analysis conditions, the filtering and control problems
are addressed. The book presents up-to-date research developments
and novel methodologies on stochastic jump hybrid systems. The
contents can be divided into two parts: the first part is focused
on robust filter design problem, while the second part is put the
emphasis on robust control problem. These methodologies provide a
framework for stability and performance analysis, robust controller
design, and robust filter design for the considered systems.
Solutions to the design problems are presented in terms of LMIs.
The book is a timely reflection of the developing area of filtering
and control theories for Markovian jump hybrid systems with various
kinds of imperfect information. It is a collection of a series of
latest research results and therefore serves as a useful textbook
for senior and/or graduate students who are interested in knowing
1) the state-of-the-art of linear filtering and control areas, and
2) recent advances in stochastic jump hybrid systems. The readers
will also benefit from some new concepts, new models and new
methodologies with practical significance in control engineering
and signal processing.
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