Identification of Wiener systems with binary-valued output observations
Automatica (Journal of IFAC)
Performance of adaptive algorithms for compensation of radio over fiber links
WTS'09 Proceedings of the 2009 conference on Wireless Telecommunications Symposium
Recursive identification algorithm for dynamic systems with output backlash and its convergence
International Journal of Applied Mathematics and Computer Science - Special Section: Robot Control Theory Cezary Zielinski
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This paper presents analytical, numerical, and experimental results for a stochastic gradient adaptive scheme that identifies a polynomial-type nonlinear system with memory for noisy output observations. The analysis includes the computation of the stationary points, the mean square error surface, and the stability regions of the algorithm for Gaussian data. Convergence of the mean is studied using L 2 and Euclidian norms. Monte Carlo simulations confirm the theoretical predictions that show a small sensitivity to the observation noise. An application is presented for the identification of a nonlinear time-delayed feedback system