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Books > Reference & Interdisciplinary > Communication studies > Information theory > Cybernetics & systems theory
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Advanced Topics in Control and Estimation of State-Multiplicative Noisy Systems (Paperback, 2013 ed.)
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Advanced Topics in Control and Estimation of State-Multiplicative Noisy Systems (Paperback, 2013 ed.)
Series: Lecture Notes in Control and Information Sciences, 439
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Advanced Topics in Control and Estimation of State-Multiplicative
Noisy Systems begins with an introduction and extensive literature
survey. The text proceeds to cover the field of H time-delay linear
systems where the issues of stability and L2 gain are presented and
solved for nominal and uncertain stochastic systems, via the
input-output approach. It presents solutions to the problems of
state-feedback, filtering, and measurement-feedback control for
these systems, for both the continuous- and the discrete-time
settings. In the continuous-time domain, the problems of
reduced-order and preview tracking control are also presented and
solved. The second part of the monograph concerns non-linear
stochastic state- multiplicative systems and covers the issues of
stability, control and estimation of the systems in the H sense,
for both continuous-time and discrete-time cases. The book also
describes special topics such as stochastic switched systems with
dwell time and peak-to-peak filtering of nonlinear stochastic
systems. The reader is introduced to six practical engineering-
oriented examples of noisy state-multiplicative control and
filtering problems for linear and nonlinear systems. The book is
rounded out by a three-part appendix containing stochastic tools
necessary for a proper appreciation of the text: a basic
introduction to stochastic control processes, aspects of linear
matrix inequality optimization, and MATLAB codes for solving the
L2-gain and state-feedback control problems of stochastic switched
systems with dwell-time. Advanced Topics in Control and Estimation
of State-Multiplicative Noisy Systems will be of interest to
engineers engaged in control systems research and development, to
graduate students specializing in stochastic control theory, and to
applied mathematicians interested in control problems. The reader
is expected to have some acquaintance with stochastic control
theory and state-space-based optimal control theory and methods for
linear and nonlinear systems.
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