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In this paper a novel combination of the "adaptive" and "optimal" control is suggested in which the main sources of the mathematical complexities, i.e. The application of cost functional in optimal control, and the use of Lyapunov's "Direct Method" in adaptive control are replaced by simple time-sharing and a Fixed Point Transformation based adaptive solution. To exemplify...
A method of intelligent PID control was proved and it's based on RBF neural network and fuzzy theory, which constructs RBF neural network identifier online and identifies a controlled object online by means of adopting the receding horizon optimization methods, and adjusts parameters of PID controller online and realizes decoupling control of multivariable, nonlinear and time variation system. The...
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