National Natural Science Foundation of China [62103445]; Hunan Provincial Natural Science Foundation of China
机构署名：
本校为其他机构
院系归属：
电气与信息工程学院
摘要：
Abstract This work develops a network of adaptive boundary observers and studies the agreement between state and parameter estimates for a single target parabolic partial differential equation (PDE) system in the presence of structured and unstructured uncertainties. It is assumed that the unknown parameters take the form of either a structured uncertainty with unknown constant parameters or an unstructured uncertainty that can be neutralized by a radial basis function neural networks with unknown weights. The proposed adaptive observers consisting of m$$ m $$ agents in the network follow the ...
