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Adaptive L2 control of nonlinear systems using neural networks |
Huaijing QU,Ying ZHANG,Fengrong SUN |
(School of Information Science and Engineering, Shandong University,Jinan Shandong 250100, China;2. Singapore Institute of Manufacturing Technology, Nanyang Drive 71 638075, Singapore) |
Abstract: |
An adaptive neural network controller is developed to achieve output-tracking of a class of nonlinear systems. The global L 2 stability of the closed-loop system is established. The proposed control design overcomes the limitation of the conventional adaptive neural control design where the modeling error brought by neural networks is assumed to be bounded over a compact set. Moreover, the generalized matching conditions are also relaxed in the proposed L 2 control design as the gains for the external disturbances entering the system are allowed to have unknown upper bounds. |
Key words: Adaptive control neural network Nonlinear systems Stability L2 controller Backstepping design |