Efficient Composite Learning Robot Control Under Partial Interval Excitation
Tian Shi,Weibing Li,Haoyong Yu,Yongping Pan,Tian Shi,Weibing Li,Haoyong Yu,Yongping Pan
Parameter convergence in adaptive control is crucial for improving the stability and robustness of robotic systems. Nevertheless, a stringent condition named persistent excitation (PE) needs to be satisfied to ensure parameter convergence in the conventional adaptive robot control. Composite learning robot control (CLRC) is an innovative methodology that guarantees parameter convergence under a co...
