基于准ARX多层学习网络模型的非线性系统自适应控制.

A quasi-ARX multilayer learning network prediction model was established and applied to the adaptive control of nonlinear systems. The kernel of the model is an improved neuro-fuzzy network: one part is a 3-layer nonlinear network with an off-line training self-associative network, the other part is a 3-layer neuro-fuzzy network adjusted online. Accordingly, the parameters were classified and the corresponding estimation algorithms were given. Then, the controller design scheme was proposed based on the advantages of the macrostructure of the model. Simulation analysis verifies the effectiveness of the proposed model. [ABSTRACT FROM AUTHOR]