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In this paper, linear quadratic control with state-dependent noise for singularly perturbed stochastic systems (SPSS) is addressed. After establishing the asymptotic structure of the stochastic algebraic Riccati equation (SARE), a new iterative algorithm that combine the Newton's method with the fixed point algorithm is established. As a result, the quadratic convergence and the reduced-order computation...
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