Adaptive neural network control of manipulators with uncertain kinematics and dynamics

Robust Control Based on Adaptative Fuzzy Control of Double-Star Permanent Synchronous Motor Supplied by PWM Inverters for Electric Propulsion of Ships

“…• The suggested adaptive control techniques may accomplish an a priori intended transient and steady-state performance in addition to ensuring the stability of the whole control system by adding prescribed performance. As a consequence, the suggested methods guarantee that the tracking error always converges to a predetermined, arbitrarily tiny residual set, which is not possible with the prior findings in the literature [24][25][26].…”

“…This strategy is designed to handle all types of uncertainties and external disturbances that may arise in the system dynamics. This work is compared to existing works in the same area, as referenced in [24][25][26][27][28][29][30][31][32][33][34][35][36][37][38][39]. The suggested research aims to address complex non-linear control issues with fewer assumptions compared to the existing literature.…”

“…• The suggested fuzzy adaptive controller for uncertain systems reduces the amount of online learning parameters, making it easier to tune and suited for real-time implementations. Furthermore, regardless of the order of the nonlinear system, the suggested technique requires just basic fuzzy inference systems, while in [24][25][26][27], the number of updating parameters is still determined by the system's order. • The control techniques proposed in [24][25][26][27] are based on backstepping, which is known to have the drawback of complexity growing.…”

“…Furthermore, regardless of the order of the nonlinear system, the suggested technique requires just basic fuzzy inference systems, while in [24][25][26][27], the number of updating parameters is still determined by the system's order. • The control techniques proposed in [24][25][26][27] are based on backstepping, which is known to have the drawback of complexity growing. However, in the proposed method, the controllers have simpler structures and fewer design parameters, as the causes for the complexity growing problem were completely eliminated.…”