The controller setting is a simple task if the process parameters are known. If model not known then modern approach adaptive method. paper shows that complex problem of iterative methods for simultaneous identification and control how can be handled.

Optimization methods are of great importance for the efficient training neural networks. There many articles in literature that propose particular variants existing optimizers. In our article, we use combination two very different optimizers that, when used simultaneously, can exceed performance single problems. We a new optimizer called ATMO (AdapTive Meta Optimizers), which integrates simulta...

the error of inertial navigation systems increase versus time, therefore for achieving higher accuracy specially in long time navigations we have to use an aiding system. global positioning system is the best aiding system in this case. in this paper we first simulate a gps and ins; then simulate tightly integration and finally review adaptation method of kalman filtering a fuzzy adaptive kalma...