In this paper a dynamic tracking control of mobile robot using neural network global fast sliding mode (NN-GFSM) is presented. The proposed strategy combines two control approaches, kinematic control and dynamic control. The laws of kinematic control are based on GFSM in order to determine the adequate velocities for the system stability in finite time. The dynamic controller combines two control techniques, the GFSM to stabilize the velocities errors, and a neural network controller in order to approximate a nonlinear function and to deal the disturbances. This dynamic controller allows the robots to follow the desired trajectory even in the presence of disturbances. The designed controller is dynamically simulated by using Matlab/ Simulink and the simulations results show the efficiency and robustness of the proposed control strategy.

In this paper a dynamic tracking control of mobile robot using neural network global fast sliding mode (NN-GFSM) is presented. The proposed strategy combines two control approaches, kinematic control and dynamic control. The laws of kinematic control are based on GFSM in order to determine the adequate velocities for the system stability in finite time. The dynamic controller combines two control techniques, the GFSM to stabilize the velocities errors, and a neural network controller in order to approximate a nonlinear function and to deal the disturbances. This dynamic controller allows the robots to follow the desired trajectory even in the presence of disturbances. The designed controller is dynamically simulated by using Matlab/ Simulink and the simulations results show the efficiency and robustness of the proposed control strategy.

In this paper a dynamic tracking control of mobile robot using neural network global fast sliding mode (NN-GFSM) is presented. The proposed strategy combines two control approaches, kinematic control and dynamic control. The laws of kinematic control are based on GFSM in order to determine the adequate velocities for the system stability in finite time. The dynamic controller combines two control techniques, the GFSM to stabilize the velocities errors, and a neural network controller in order to approximate a nonlinear function and to deal the disturbances. This dynamic controller allows the robots to follow the desired trajectory even in the presence of disturbances. The designed controller is dynamically simulated by using Matlab/ Simulink and the simulations results show the efficiency and robustness of the proposed control strategy.

In this paper, the method for the nonlinear control design of a permanent magnet synchronous generator based-wind energy conversion system (WECS) is proposed in order to obtain robustness against disturbances and harvest a maximum power from a typical stochastic wind environment. The technique overcomes both the problem of nonlinearity and the uncertainty of the parameter compared to such classical control designs based on traditional control techniques. The method is based on the differential geometric feedback linearization technique (DGT) and the Lyapunov theory. The results obtained show the effectiveness and performance of the proposed approach.

In this paper, the method for the nonlinear control design of a permanent magnet synchronous generator based-wind energy conversion system (WECS) is proposed in order to obtain robustness against disturbances and harvest a maximum power from a typical stochastic wind environment. The technique overcomes both the problem of nonlinearity and the uncertainty of the parameter compared to such classical control designs based on traditional control techniques. The method is based on the differential geometric feedback linearization technique (DGT) and the Lyapunov theory. The results obtained show the effectiveness and performance of the proposed approach.

In this paper, the method for the nonlinear control design of a permanent magnet synchronous generator based-wind energy conversion system (WECS) is proposed in order to obtain robustness against disturbances and harvest a maximum power from a typical stochastic wind environment. The technique overcomes both the problem of nonlinearity and the uncertainty of the parameter compared to such classical control designs based on traditional control techniques. The method is based on the differential geometric feedback linearization technique (DGT) and the Lyapunov theory. The results obtained show the effectiveness and performance of the proposed approach.

In this paper, the method for the nonlinear control design of a permanent magnet synchronous generator based-wind energy conversion system (WECS) is proposed in order to obtain robustness against disturbances and harvest a maximum power from a typical stochastic wind environment. The technique overcomes both the problem of nonlinearity and the uncertainty of the parameter compared to such classical control designs based on traditional control techniques. The method is based on the differential geometric feedback linearization technique (DGT) and the Lyapunov theory. The results obtained show the effectiveness and performance of the proposed approach.

In this paper, channel doping engineering aspect is proposed as a new way to improve the junctionless Gate All Around (GAA) MOSFET performance for digital and analog applications. The amended channel doping consists of a lateral graded profile, where the channel is divided into two regions with different doping levels. Analytical approaches for the drain current, leakage power, digital and small signal parameters are developed incorporating the impact of graded channel doping (GCD) paradigm on the device electrical behavior. Exhaustive study based on a performance comparison between the proposed structure and the conventional one is carried out, where the proposed design exhibits a good capability in improving the overall device figures-of-merit (FoMs), governing the leakage and the analog performance. More importantly, Particle Swarm Optimization (PSO) approach is proposed as a metaheuristic technique to boost the device performance through carefully adjusting the design parameters of the proposed GCD feature. It is found that the optimized design outperforms considerably the conventional counterpart and enable making wise trade-offs, where an enhancement of 300% in the I ON /I OFF ratio, 482% in the intrinsic gain, and 340% in the cut-off frequency has been reached. Besides, the proposed design provides a sufficient capability for suppression of the leakage effects. The obtained results underline the distinctive property of the proposed design for bridging the gap between high analog and digital performances with ultra-low power consumption. This makes the proposed design a potential alternative for ultra-low power and high electrical performance applications.

In this paper, channel doping engineering aspect is proposed as a new way to improve the junctionless Gate All Around (GAA) MOSFET performance for digital and analog applications. The amended channel doping consists of a lateral graded profile, where the channel is divided into two regions with different doping levels. Analytical approaches for the drain current, leakage power, digital and small signal parameters are developed incorporating the impact of graded channel doping (GCD) paradigm on the device electrical behavior. Exhaustive study based on a performance comparison between the proposed structure and the conventional one is carried out, where the proposed design exhibits a good capability in improving the overall device figures-of-merit (FoMs), governing the leakage and the analog performance. More importantly, Particle Swarm Optimization (PSO) approach is proposed as a metaheuristic technique to boost the device performance through carefully adjusting the design parameters of the proposed GCD feature. It is found that the optimized design outperforms considerably the conventional counterpart and enable making wise trade-offs, where an enhancement of 300% in the I ON /I OFF ratio, 482% in the intrinsic gain, and 340% in the cut-off frequency has been reached. Besides, the proposed design provides a sufficient capability for suppression of the leakage effects. The obtained results underline the distinctive property of the proposed design for bridging the gap between high analog and digital performances with ultra-low power consumption. This makes the proposed design a potential alternative for ultra-low power and high electrical performance applications.