03486nam 22005055i 4500001001800000003000900018005001700027007001500044008004100059020003700100024003100137041000800168100003300176245010400209260004600313264004600359300004100405336002600446337002600472338003600498347002400534490002400558505013200582520171400714650001702428650001702445650002002462650003902482650001502521650001702536650002502553650002902578650004902607650005602656650004302712650003302755710003402788773002002822776003602842830002402878856004402902912001402946942000702960999001302967978-0-8176-4452-9DE-He21320141014113434.0cr nn 008mamaa100301s2006 xxu| s |||| 0|eng d a97808176445299978-0-8176-4452-97 a10.1007/0-8176-4452-02doi aeng1 aBoukas, El-Kâebir.eauthor.10aStochastic Switching Systemsh[electronic resource] :bAnalysis and Design /cby El-Kâebir Boukas. 1aBoston, MA :bBirkhèauser Boston,c2006. 1aBoston, MA :bBirkhèauser Boston,c2006. aX, 405 p. 7 illus.bonline resource. atextbtxt2rdacontent acomputerbc2rdamedia aonline resourcebcr2rdacarrier atext filebPDF2rda1 aControl Engineering0 aStability Problem -- Stabilization Problem -- ?? Control Problem -- Filtering Problem -- Singular Stochastic Switching Systems. aStochastic switching systems represent an interesting class, which can be used to model a variety of systems having abrupt random changes in their dynamics. Such systems may be found in the fields of manufacturing, communications, aerospace, power, and economics. This work presents stochastic switching systems and provides up-to-date methods and techniques for the analysis and design of various control systems with or without uncertainties. An introductory chapter highlights basic concepts and practical models, which are then used to solve more advanced problems throughout the book. Included are many numerical examples as well as LMI analysis methods and design approaches to supplement the developed results. Specific topics covered include: * The stochastic stability problem and its robustness. * The stabilization problem; different controllers such as the state feedback, output feedback, and observer-based output feedback are designed for nominal and uncertain systems using LMI conditions. * Systems with external disturbances; different approaches are developed to reject the external disturbances. * The filtering problem for the class of systems with Markovian jump parameters; Kalman and H-infinity filtering problems are treated and LMI conditions are developed to synthesize the gains of these filters. * Systems with singular Markovian jump parameters. Stochastic Switching Systems may be used as a supplementary textbook for graduate-level engineering courses, or as a reference for control engineers, graduate students, and researchers in systems and control. Prerequisites include elementary courses in matrix theory, probability, optimization techniques, and control systems theory. 0aEngineering. 0aMathematics. 0aSystems theory. 0aDistribution (Probability theory). 0aVibration.14aEngineering.24aControl Engineering.24aSystems Theory, Control.24aProbability Theory and Stochastic Processes.24aNumerical and Computational Methods in Engineering.24aVibration, Dynamical Systems, Control.24aApplications of Mathematics.2 aSpringerLink (Online service)0 tSpringer eBooks08iPrinted edition:z9780817637828 0aControl Engineering40uhttp://dx.doi.org/10.1007/0-8176-4452-0 aZDB-2-ENG cEB c895d895