Author:
Lopes dos Santos P.,A. Ramos José,Martins de Carvalho J.L.
Subject
Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering
Reference73 articles.
1. Ase, H., Katayama, T., & Tanaka, H. (2009). A state-space approach to identification of Wiener–Hammerstein Benchmark model. In 15th IFAC symposium on system identification SYSID 2009, Saint-Malo, France (pp. 1092–1097).
2. Towards identification of Wiener systems with the least amount of a priori information on the nonlinearity;Bai;Automatica,2008
3. Automatic nonlinear auto-tuning method for Hammerstein modeling of electric drives;Balestrino;IEEE Transactions on Industrial Electronics,2001
4. Stochastic analysis of adaptive gradient identification of Wiener–Hammerstein systems for Gaussian inputs;Bershad;IEEE Transactions on Signal Processing,2000
5. Analysis of stochastic gradient identification of Wiener–Hammerstein systems for nonlinearities with hermite polynomial expansions;Bershad;IEEE Transactions on Signal Processing,2001
Cited by
10 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献