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Muhammad Tahir Akhtar
It is well-known that performance of the classical algorithms for active noise control (ANC) systems severely degrades when implemented for controlling the impulsive sources. The objective of this paper is to propose a new recursive least squares (RLS) a...
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Binbin Li, Bo Lu, Xiping Kou, Yang Shi, Li Yu, Hongtao Guo, Binbin Lv and Kaichun Zeng
To address the contradiction between the convergence error and convergence rate in the LMS algorithm, this study proposes a variable-step-size adaptive filter algorithm with a momentum term based on the logistic function. First, the normalization LMS alg...
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Guoqiang Hao, Qiang Lv, Zhen Huang, Huanlong Zhao and Wei Chen
The obstacle avoidance system of a drone affects the quality of its flight path. The artificial potential field method can react quickly when facing obstacles; however, the traditional artificial potential field method lacks consideration of the position...
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Zhiyu Wang and Timothy Sands
This manuscript compares deterministic artificial intelligence to a model-following control applied to DC motor control, including an evaluation of the threshold computation rate to let unmanned underwater vehicles correctly follow the challenging discon...
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Predrag S. Stanimirovic, Bilall I. Shaini, Jamilu Sabi?u, Abdullah Shah, Milena J. Petrovic, Branislav Ivanov, Xinwei Cao, Alena Stupina and Shuai Li
This research proposes and investigates some improvements in gradient descent iterations that can be applied for solving system of nonlinear equations (SNE). In the available literature, such methods are termed improved gradient descent methods. We use v...
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