Abstract: The radial basis function neural network (RBFNN) is a learning model with better generalization ability, which attracts much attention in nonlinear system identification. Compared with the ...
Abstract: This paper addresses the intricate challenges in stabilizing nonlinear systems amidst event-triggering and switching dynamics, operating under a less stringent input-to-state stability (ISS) ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback