(1.School of Information Engineering, Zhejiang University of Technology, 310023 Hangzhou, China; 2. School of Control Science and Engineering, Shandong University, 250061 Jinan, China)
Clc Number:
TP13
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Abstract:
The paper aims to improve the H∞ control performance of a class of systems. It is concentrated on H∞ preview control for stochastic Ito system with state-dependent noise. Associating game theory and dynamic programming, we present the solvable condition and explicit controller of the stochastic H∞ preview control via decoupling the coupled ordinary and partial differential equations and utilizing the characteristic curve.