Results 21 to 30 of about 581 (190)
A Variable Step-size CLMS Algorithm and Its Analysis [PDF]
Radioengineering, 2020 In this paper, a hyperbolic tangent variable step-size convex combination of the least mean square (HTVSCLMS) algorithm is proposed and analyzed. This work avoids the compromise between the convergence speed and the steady-state error for two filters in ...
X. Fan, Z. Tan, P. Song, L. Chen
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Autonomous Control of the Large-Angle Spacecraft Maneuvers in a Non-Cooperative Mission
Sensors, 2022 Aiming at the large-angle maneuver control problem of tracking spacecraft attitude in non-cooperative target rendezvous and proximity tasks, under the condition that the target spacecraft attitude information is unknown and the actuator output has ...
Cheng Huang, Tianzeng Cao, Jinglin Huang
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PLoS ONE, 2022 Poly(lactic-co-glycolic acid) is one of the most used polymers for drug delivery systems (DDSs). It shows excellent biocompatibility, biodegradability, and allows spatio-temporal control of the release of a drug by altering its chemistry.
Nathaly S. Heredia +6 more
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Hybrid Models for Solving the Colebrook–White Equation Using Artificial Neural Networks
Fluids, 2022 This study proposes hybrid models to solve the Colebrook–White equation by combining explicit equations available in the literature to solve the Colebrook–White equation with an error function. The hybrid model is in the form of fH=fo−eA.
Muhammad Cahyono
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A New AILC for a Class of Nonlinearly Parameterized Systems with Unknown Delays and Input Dead-Zone
Journal of Applied Mathematics, 2014 This paper presents an adaptive iterative learning control (AILC) scheme for a class of nonlinear systems with unknown time-varying delays and unknown input dead-zone. A novel nonlinear form of deadzone nonlinearity is presented.
Jian-ming Wei, Yun-an Hu, Mei-mei Sun
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Prospect utility with hyperbolic tangent function
International Journal of Approximate ReasoningzbMATH Open Web Interface contents unavailable due to conflicting licenses.
Patrick Adjei +2 more
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A Novel Power Curve Modeling Framework for Wind Turbines
Advances in Electrical and Computer Engineering, 2019 This paper presents two main novelties concerning power curve modeling of wind turbines. First novelty lies in the hybridization of 5 widely-used parametric functions and 8 recently-developed metaheuristic optimization algorithms.
YESILBUDAK, M.
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Modeling Software Reliability with Learning and Fatigue
Mathematics, 2023 Software reliability growth models (SRGMs) based on the non-homogeneous Poisson process have played a significant role in predicting the number of remaining errors in software, enhancing software reliability.
Tahere Yaghoobi, Man-Fai Leung
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Configurable Model for Sigmoid and Hyperbolic Tangent Functions
Applications of Modelling and Simulation, 2023 Recurrent neural networks (RNNs) are considered to be among the most important types of neural networks especially for the applications where processing of a sequence of data comes to place. RNNs are in general computationally expensive and need a lot of processing time and power.
Khaled Salah +3 more
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Advances in Mechanical Engineering, 2017 The article proposes a robust control approach based on self-organizing Hermite-polynomial-based neural network disturbance observer for a class of non-affine nonlinear systems with input saturation, state constraint, and unknown compound disturbance ...
Qiang Zhang, Cui Wang
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