Method for model-free control of general discrete-time systems
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United States of America Patent
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Apr 30, 1996
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Dec 27, 1994
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Jun 4, 1993
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Abstract
A method of developing a controller for general (nonlinear) discrete-time systems, where the equations governing the system are unknown and where a controller is estimated without building or assuming a model for the system. The controller is constructed through the use of a function approximator (FA) such as a neural network or polynomial. This involves the estimation of the unknown parameters within the FA through the use of a stochastic approximation that is based on a simultaneous perturbation gradient approximation, which requires only system measurements (not a system model).
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