In this article, the model‐based event‐triggered neural learning control problem is investigated for a class of discrete‐time strict‐feedback systems. First, with the case of
sufficient network resources, an adaptive neural controller is designed with a new neural weight update law, which avoids the
‐step delay of traditional adaptive neural control methods. The proposed controller performs...