The control of nonlinear chaotic systems with uncertainties is a challenging problem that has attracted the attention researchers in recent years. In this paper, we propose robust adaptive fuzzy fractional strategy for stabilizing uncertainties. proposed combined logic controller fractional-order calculus to accurately model system’s behavior and adapt real-time. was based on supervised sliding...

The remarkable properties of sliding mode control (SMC)—such as robustness, accuracy, and ease implementation—have contributed to its wide adoption by the community. To accurately compensate for parametric uncertainties, switching part SMC controller should have gains that are sufficiently large deal with but small minimize chattering phenomena. Hence, proper adjustment is crucial ensure accura...

In this work, a robust fuzzy model predictive control (RFMPC) is designed for uncertain time-delay systems under input constraints with external disturbances. The proposed controller based on an augmented state space that includes the variables and output tracking error variable of system. As result, can guarantee convergence performance To ensure stability closed loop constrained time-delays s...