Title :
Robust
-Induced Filtering and Control of Stochastic Systems With State-Multiplicative Noise
Author :
Berman, Nadav ; Shaked, Uri
Author_Institution :
Dept. of Mech. Eng., Ben Gurion Univ. of the Negev, Beer-Sheva, Israel
fDate :
3/1/2010 12:00:00 AM
Abstract :
Linear, continuous-time systems with stochastic uncertainties in their state-space model are considered. The problems of induced L∞ state-feedback control and filtering are solved, for the stationary case. In both problems, the cost function is defined to be the expected value of the standard induced L∞ performance index with respect to the uncertain parameters. An example that demonstrates the applicability of the theory is given.
Keywords :
continuous time systems; filtering theory; linear systems; state feedback; state-space methods; stochastic systems; uncertain systems; L∞ filtering; L∞ state feedback control; continuous-time systems; cost function; linear systems; state-multiplicative noise; state-space model; stochastic systems; uncertain parameters; Control systems; Filtering; Filters; Linear systems; Noise robustness; Robust control; Stochastic resonance; Stochastic systems; Uncertainty; White noise; $L_{1}$ performance; multiplicative noise; peak-to-peak control; stochastic systems;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.2010.2040426