TY - BOOK ID - 5450864 TI - H-infinity Control and Estimation of State-multiplicative Linear Systems AU - Gershon, Eli. AU - Shaked, Uri. AU - Yaesh, Isaac. PY - 2005 SN - 9781852339975 1852339977 184628337X PB - London : Springer London : Imprint: Springer, DB - UniCat KW - H [infinity symbol] control. KW - Stochastic systems. KW - Discrete-time systems. KW - Commande H-infini KW - Systèmes stochastiques KW - Systèmes échantillonnés KW - H [infinity symbol] control KW - Stochastic systems KW - Discrete-time systems KW - Operations Research KW - Civil & Environmental Engineering KW - Engineering & Applied Sciences KW - DES (System analysis) KW - Discrete event systems KW - Sampled-data systems KW - Systems, Stochastic KW - H infinity control KW - Engineering. KW - System theory. KW - Automotive engineering. KW - Control engineering. KW - Robotics. KW - Mechatronics. KW - Electrical engineering. KW - Electronics. KW - Microelectronics. KW - Control. KW - Control, Robotics, Mechatronics. KW - Systems Theory, Control. KW - Electronics and Microelectronics, Instrumentation. KW - Electrical Engineering. KW - Automotive Engineering. KW - Microminiature electronic equipment KW - Microminiaturization (Electronics) KW - Electronics KW - Microtechnology KW - Semiconductors KW - Miniature electronic equipment KW - Electrical engineering KW - Physical sciences KW - Electric engineering KW - Engineering KW - Mechanical engineering KW - Microelectronics KW - Microelectromechanical systems KW - Automation KW - Machine theory KW - Control engineering KW - Control equipment KW - Control theory KW - Engineering instruments KW - Programmable controllers KW - Systems, Theory of KW - Systems science KW - Science KW - Construction KW - Industrial arts KW - Technology KW - Philosophy KW - Computer engineering. KW - Control and Systems Theory. KW - Computers KW - Design and construction KW - Systems theory. KW - Automatic control. UR - https://www.unicat.be/uniCat?func=search&query=sysid:5450864 AB - Multiplicative noise appears in systems where the process or measurement noise levels depend on the system state vector. Such systems are relevant, for example, in radar measurements where larger ranges involve higher noise level. This monograph embodies a comprehensive survey of the relevant literature with basic problems being formulated and solved by applying various techniques including game theory, linear matrix inequalities and Lyapunov parameter-dependent functions. Topics covered include: convex H2 and H-infinity norms analysis of systems with multiplicative noise; state feedback control and state estimation of systems with multiplicative noise; dynamic and static output feedback of stochastic bilinear systems; tracking controllers for stochastic bilinear systems utilizing preview information. Various examples which demonstrate the applicability of the theory to practical control engineering problems are considered; two such examples are taken from the aerospace and guidance control areas. ER -