本文将增长的小波级数模型与Ｌｙａｐｕｎｏｖ综合方法相结合，提出了一种对连续非线性动态系统的在线辨识策略．增长模型的概念克服了事先确定模型结构所带来的欠模型或模型冗余问题．由Ｌｙａｐｕｎｏｙ综合方法导出的参数调整律保证了辨识策略的全局稳定性和模型参数的收敛性 In this paper, the growing wavelet series model is combined with Lyapunov synthesis method, and an on-line identification strategy for continuous nonlinear dynamic system is proposed. The concept of growth model overcomes the problem of under-model or model redundancy brought about by the prior determination of the model structure. The parameter adjustment law derived by the Lyapunoy synthesis method ensures the global stability of the identification strategy and the convergence of the model parameters