Path‐tracking and lane‐keeping efficiency of driverless cars remain critical characteristics of the efficient and safe deployment of such vehicles in future intelligent transportation systems. This study introduces a robust type‐3 (T3) fuzzy controller implementation for the path‐tracking task of driverless cars during critical driving conditions and subject to exogenous disturbances. Unlike many existing control paradigms, the proposed scheme is independent of the parameter information and assumes the system dynamics are unknown and non‐linear. Control inputs are constructed to improve robustness by eliminating the error bounds while ensuring stability by leveraging the Lyapunov stability theorem and Barbalat's lemma. Also, a predicate scheme based on non‐linear predictive control technique is introduced to enhance the lateral displacement. Based on the obtained results, the schemed controller exhibits competitive effectiveness in path‐tracking tasks, and strong efficiency under various road conditions, parametric uncertainties, and unknown disturbances.

This paper offers an improved finite time sliding mode controller scheme for a class of robotic manipulators with external disturbances. Since conventional sliding mode controllers have a discontinuous signum function, an important problem called chattering phenomenon can occur in them. The proposed scheme presents a new Lyapunov candidate functional containing an absolute function based on a fractional power of the switching surface such that the designed control law is continuous and smooth. The recommended control technique is designed using the Lyapunov stability theory and satisfies the presence of the sliding mode around designed switching surface in the finite time. The presented method eliminates the chattering problem produced by the switching controller and satisfies high precision action. Besides, the adaptive tuning controllers are designed to approximate the unknown bound of external disturbance. An extension of the proposed control technique based on the barrier function adaptive terminal sliding mode control is also suggested for better performance and robust tracking control of the nonlinear systems with external disturbances. Some simulation and experimental outcomes exhibit the efficacy of the planned technique.

In this study, an adaptive nonsingular terminal sliding mode control technique according to the barrier function is designed for the performance improvement and robust stability of nonlinear systems with outdoor disturbances. For this reason, a novel nonlinear sliding surface is presented based on the states of the system. The nonlinear sliding surface forces the states of the system to converge from initial conditions to zero. Subsequently, a non-singular terminal sliding control scheme is advised for the purpose of finite-time stability of the nonlinear switching surface. Finite-time stabilization of the non-singular terminal sliding surface is verified by the Lyapunov theory. For improvement of the system performance against exterior perturbation, the barrier function adaptive technique is employed to estimate the unknown upper bounds of the exterior disturbance. Finally, the advantage and productivity of the recommended control method is investigated based on the simulation results. In the simulation part, the plasma torch jerk chaotic system is considered as a case study, such that the obtained results are given in different scenarios.