Adaptive joint control design for a flexible two-link system

Investigates a robust adaptive control design for a flexible two-link system considering joint angle control in the presence of system uncertainties. The system uncertainties are treated as unknown bounded continuous functions of the states. A Gaussian network is used to map the uncertainties in the MIMO system. A convergent stable learning algorithm is developed for the control design. Simulations show the effectiveness of the proposed learning control strategy.