TY  - BOOK
AU  - Yao,Xiuming
AU  - Wu,Ligang
AU  - Zheng,Wei Xing
ED  - SpringerLink (Online service)
TI  - Filtering and Control of Stochastic Jump Hybrid Systems
T2  - Studies in Systems, Decision and Control,
SN  - 9783319319155
AV  - TJ212-225 
U1  - 629.8 23
PY  - 2016///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Engineering
KW  - System theory
KW  - Control engineering
KW  - Control
KW  - Systems Theory, Control
N1  - Introduction -- Part I Robust Filtering -- Part II Robust Control
N2  - 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
UR  - http://148.231.10.114:2048/login?url=http://dx.doi.org/10.1007/978-3-319-31915-5
ER  -