The control scheme consists of a fuzzy controller and learning control laws.
The learning control scheme consists of a proportional feedback controller and a feedforward controller.
Thus, the learning control system is a further development of the adaptive controller.
The experimental results illustrate the efficiency of learning control.
Enhancement is achieved through filter-based iterative learning control (ILC).
Disturbance aspects of iterative learning control (ILC) are considered.
Specifically, learning control of a material transport system is considered.
Due to the adaptive capability of fuzzy inference systems, its applications to adaptive control and learning control are immediate.
This latter control technique, called iterative learning control, can significantly increase the performance of a feedback active noise control system.
In this paper, we consider the task of learning control policies for text-based games.
Possible topics include bifurcation theory, nonlinear mechanics, system identification, intelligent control, learning control, and applied aerodynamics.
