Adaptive neural control for nonlinear distributed time-delay systems with delay-dependent control gains

This paper addresses the problem of output tracking control for a class of nonlinear distributed time-delay systems whose control gains are delay-dependent and whose uncertainty involves both delay times and system nonlinearities. We introduce the framework of using delay-independent control to deal with unknown distributed delay dependence and using switching-based adaptive neural control to deal with unknown delay-dependent control gains. The control is designed in consideration of a Razumikhin norm condition on retarded functional state entailing efficiency with distributed delay dependence.