Learning Control and Knowledge
Yoshinori SUGANUMA, Masami Itō · Transactions of the Society of Instrument and Control Engineers · 1986
This paper proposes a new method for knowledge acquisition, knowledge representation, generalization and reasoning in learning control. A learning controller to exploit an analogy between a current unsolved problem and a similar but previously solved problem to simplify its search for a solution is outlined. As an example, this controller is applied to contlol of multi-links systems and by simulation it is indicated that by using an analogy it can speed the search of input sequences to transfer initial states to goal states.