Robust Adaptive Control Using Neural Networks and Projection

Abstract. By using differential neural networks, we present a novel robust adaptive controller for a class of unknown nonlinear systems. First, dead-zone and projection techniques are applied to neural model, such that the identification error is bounded and the weights are different from zero. Then, a linearization controller is designed based on the neuro identifier. Since the approximation capability of the neural networks is limited, four kinds of compensators are addressed.

• Type: Conference
• Year: 2004
• Where: ISNN
• Authors: Xiaoou Li, Wen Yu
• Keywords: Differential Neural Networks, ISNN 2004, Neural Networks, Robust Adaptive Controller