Suboptimal Adaptive Control
Different algorithms for adaptive control of discrete time systems are derived and discussed in the paper. Gradient and exponential smoothing techniques are used to solve the identification problem. Several sub- optimum solutions to the linear control problem with quadratic performance index are derived. These solutions require by far less computation time than the direct “Matrix-Riccati-solution”. An electromechanical example is used to demonstrate the validity of the approach that is taken in the paper.
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