“…However, designing a high‐precision and reliable attitude controller is quite difficult due to the existence of external disturbances involving gravitational torque, aerodynamic torque and radiation torque, inertial uncertainties arising from fuel consumption, payload variation and appendage deployment, actuator failures with partial or total loss of efficiency, and input saturation constraints. Over the past decades, extensive efforts have been devoted to the spacecraft ATC and numerous control schemes are now available in the literature, such as inverse optimal control [1],[2], variable structure control [3‐5], PID control [6,7], H ∞ control [8,9], optimal output feedback control [10], and exponential and resilient control [11]. With the development of universal approximation techniques, fuzzy logic system (FLS) [12] and neural network (NN) [13] are widely used to estimate the unknown nonlinear functions in spacecraft dynamics [14‐16].…”