It has been widely recognized nowadays the importance of
introducing mathematical models that take into account possible
sudden changes in the dynamical behavior of a high-integrity
systems or a safety-critical system. Such systems can be found in
aircraft control, nuclear power stations, robotic manipulator
systems, integrated communication networks and large-scale flexible
structures for space stations, and are inherently vulnerable to
abrupt changes in their structures caused by component or
interconnection failures. In this regard, a particularly
interesting class of models is the so-called Markov jump linear
systems (MJLS), which have been used in numerous applications
including robotics, economics and wireless communication. Combining
probability and operator theory, the present volume provides a
unified and rigorous treatment of recent results in control theory
of continuous-time MJLS. This unique approach is of great interest
to experts working in the field of linear systems with Markovian
jump parameters or in stochastic control. The volume focuses on one
of the few cases of stochastic control problems with an actual
explicit solution and offers material well-suited to coursework,
introducing students to an interesting and active research
area.
The book is addressed to researchers working in control and
signal processing engineering. Prerequisites include a solid
background in classical linear control theory, basic familiarity
with continuous-time Markov chains and probability theory, and some
elementary knowledge of operator theory.
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!