Real-Time Simulation of Non-Linear Quadratic Gaussian Adaptive Control System
Real-time simulation of a non-linear quadratic gaussian adaptive control system is described. The piecewise linearization of the non-linear plant is used. Linear stochastic parameters identification methods are used. Unknown state variables of the plant are estimated by the well-checked Kaiman Filter, algorithm. Control law is a state feedback whose parameters are computed from the solution of the Algebraic Riccati Equation.
KeywordsRiccati Equation Linear Quadratic Algebraic Riccati Equation Linear Quadratic Optimal Control Parameter Identification Method
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