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- [31] Distributed robust H∞\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${{\varvec{H}}}_{\varvec{\infty }}$$\end{document} control of connected eco-driving system with time-varying delay and external disturbances in the vicinity of traffic signals Nonlinear Dynamics, 2018, 92 (4) : 1829 - 1844
- [32] Depth and speed of convergence are important metrics for the performance of acoustic echo cancellers (AECs). The LMS (Least Mean Square) or NLMS (normalized LMS) algorithms constitute the core of many AEC implementations. This paper presents an optimal step size control strategy for the NLMS algorithm when the input signal is white. This strategy gives the deepest convergence in the shortest amount of time. The optimum step size turns out to be the solution of a Riccati equation. Simulation results are presented to confirm the analysis. Practical considerations for colored signals and time varying echo impulse responses are also discussed. CONFERENCE RECORD OF THE 2014 FORTY-EIGHTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS, 2014, : 895 - 899