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Numerical Solution of the State Dependent Noise Problem

Algorithm
State-Dependent Noise Riccati Solver

Abstract

A numerical technique is given for solving the matrix quadratic equation that arises in the optimal stationary control of linear systems with state (and/or control) dependent noise. The technique exploits fully existing, efficient algorithms for the matrix Lyapunov and Ricatti equations. The computational requirements are discussed, with an associated example.

Summary

Kleinman gives a numerical technique for the matrix quadratic equation arising in optimal stationary control with state- or control-dependent noise. The method leverages efficient Lyapunov and Riccati solvers, making multiplicative-noise regulator computations more practical.

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