Adaptive - Robust control a computational efficient real time simulation

The adaptive-robust control strategy, proposed in this paper, combines the advantages of robust and adaptive control, while minimizing the computational load. Usually, a lot of mathematical operations are necessary, which limit the real time applicability of such strategies. By developing a simple, yet useful rule, the number of operations needed to determine if a new controller is needed has been greatly reduced. That is the most repetitive part of an adaptive - robust algorithm, because the rule check has to be done at every sampling moment. To test the new rule, a simulation software was developed, which proves the efficiency of the new rule. There are no disadvantages for the new adaptive - robust strategy, when compared to the usual approach.