With the aim of addressing problem trajectory tracking control quadrotor unmanned aircraft robots (UARs), in this study, we developed a neural network and event-triggering mechanism-based adaptive scheme for UAR system. The main technologies included are as follows. (1) Under condition that only quadrotor’s position information can be obtained, modified high-gain state observer-based dynamic su...

This paper presents a model reference adaptive PD control scheme based on RBF neural network for the greenhouse climate control problem. A model of nonlinear conservation laws of enthalpy and matter between numerous system variables affecting the greenhouse climate is used to validate the proposed control scheme. Compared with the conventional adaptive PD control scheme based on RBF neural netw...