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This paper presents a strategy for designing a robust discrete-time adaptive controller for stabilizing continuous-time linear time invariant (LTI) plants. Such plants may be unstable and non-inversely stable. A reduced order plant model is considered to design the adaptive controller. The control design is based on the discretization of the plant with the use of a multirate sampling device with fast...
This paper discussed the neural network in the application of nonlinear system adaptive control. For a typical class of nonlinear system, A BP neural network is designed to control the system based on hyperstability. The nonlinear link was eliminated by introducing its inverse model, for transforming the nonlinearity into a linear system. The neural network controllerpsilas purpose is to optimize...
A nonaffine discrete-time system represented by the nonlinear autoregressive moving average with eXogenous input (NARMAX) representation with unknown nonlinear system dynamics is considered. An equivalent affinelike representation in terms of the tracking error dynamics is first obtained from the original nonaffine nonlinear discrete-time system so that reinforcement-learning-based near-optimal neural...
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