Abstract
Elman networks’ dynamical modeling capability is discussed in this paper firstly. According to Elman networks’ unique structure, a weight training algorithm is designed and a nonlinear adaptive controller is constructed. Without the PE presumption, neural networks controller’s closed-loop properties are studied and the whole Elman networks’ passivity is demonstrated.
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This research was supported by the National 863 Project Foundation (863-511-945-010), Tianjin Natural Science Foundation (983602011) and the Young Teacher Foundation of Ministry of Education.
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Xiang, L., Zengqiang, C. & Zhuzhi, Y. Nonlinear stable adaptive control based upon Elman networks. Appl. Math. Chin. Univ. 15, 332–340 (2000). https://doi.org/10.1007/s11766-000-0058-8
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DOI: https://doi.org/10.1007/s11766-000-0058-8