@inbook{a6c28f38d2ea42359884a1f129cc1f9d,

title = "Robust Output-Feedback Control of Stochastic Discrete-Time Systems",

abstract = "Linear discrete-time systems with stochastic and deterministic polytopic-type uncertainties in their state-space model are considered. A dynamic output-feedback controller is obtained via a new approach, which allows a derivation of a controller in spite of parameter uncertainty. In the proposed approach, the system is described via a difference equation and an augmented system is then used to obtain the output-feedback controller parameters. The controller is obtained without assuming a specific structure to the quadratic Lyapunov function. It is the first time that an output-feedback controller is obtained for robust state-multiplicative systems. The controller minimizes the stochastic l2-gain of the closed-loop system, where the cost function is defined to be the expected value of the standard H∞ performance index with respect to the stochastic uncertainty. An example is given that demonstrates the merit of the theory.",

author = "Eli Gershon and Uri Shaked",

note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.",

year = "2019",

doi = "10.1007/978-3-030-16008-1_11",

language = "אנגלית",

series = "Lecture Notes in Control and Information Sciences",

publisher = "Springer Verlag",

pages = "155--169",

booktitle = "Lecture Notes in Control and Information Sciences",

}