Showing papers by "Hassen T. Dorrah published in 2021"
TL;DR: The proposed control algorithm is a combination of time-varying sliding mode control, exponential reaching law, and nonlinear feedback control to eliminate the chattering phenomenon and arrive at better stability and tracking performance.
2 citations
TL;DR: This technique can be used to gain useful information about the system itself, provides an indication of which parameters are more important and reveals the sensitivity of system model to single parameter variations.
Abstract: Despite the superiority of symbolic approaches over the purely numerical approaches in many aspects, it does not receive the proper attention due to its significant complexity, high resources requirement and long drawn time which even grows significantly with the increase of model dimensions. However, its merits deserve every attempt to overcome the difficulties being faced. In this paper, a fully generic symbolic-based technique is proposed to deal with complex state space control problems. In this technique, depending on the model dimension if exceeds a predefined limit, the state space is solved using the partitioned matrices theory and block wise inversion formula. Experimental results demonstrate that the proposed technique overcomes all the previously mentioned barriers and gives the same results when compared to numerical methods (Simulink). Moreover, it can be used to gain useful information about the system itself, provides an indication of which parameters are more important and reveals the sensitivity of system model to single parameter variations.
2 citations
TL;DR: The first Heredity Index map is successfully delineated for a group of 8 natural tree-shaped watersheds networks demonstrating the applicability and effectiveness of the suggested heredity similarity testing approach.