A novel approach for neural controller adapting rate: Application to MIMO nonlinear processes

In this paper, an indirect adaptive control of nonlinear MIMO processes using neural emulator which is updated based on fuzzy logic strategy is developed. In fact, the major advantage of the neural emulator using fuzzy adapting rate is that it does not need the initialization of any term. A new approach for an adaptation of the controller adapting rate is presented, in the present paper, for nonlinear MIMO processes. A numerical example is offering to test the effectiveness of the proposed approach in comparison with the method based on the starting term. The obtained results show the satisfactory closed-loop performance in terms of the trajectory tracking and the convergence speed of nonlinear MIMO processes.