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1761
Direct Adaptive Tracking Control for a Class of Pure-Feedback Stochastic Nonlinear Systems Based on Fuzzy-Approximation
Published 2014-01-01“…The problem of fuzzy-based direct adaptive tracking control is considered for a class of pure-feedback stochastic nonlinear systems. During the controller design, fuzzy logic systems are used to approximate the packaged unknown nonlinearities, and then a novel direct adaptive controller is constructed via backstepping technique. …”
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1762
Experimental investigation of the second-mode internal solitary wave in continuous pycnocline and the applicability of weakly nonlinear theoretical models
Published 2025-01-01Subjects: “…applicability of weakly nonlinear theoretical models…”
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1763
Multiple Solutions for Nonlinear Navier Boundary Systems Involving (p1(x),…,pn(x))-Biharmonic Problem
Published 2016-01-01Get full text
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1764
Enhanced Bearing Fault Detection Using Step-Varying Vibrational Resonance Based on Duffing Oscillator Nonlinear System
Published 2017-01-01“…Given this, a step-varying vibrational resonance (SVVR) method based on Duffing oscillator nonlinear system is proposed to enhance the weak status feature of bearing by tuning different parameters. …”
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1765
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1766
Analytic Solution for Nonlinear Multimode Beam Vibration Using a Modified Harmonic Balance Approach and Vieta’s Substitution
Published 2016-01-01“…This paper presents a modified harmonic balance solution method incorporated with Vieta’s substitution technique for nonlinear multimode damped beam vibration. The aim of the modification in the solution procedures is to develop the analytic formulations, which are used to calculate the vibration amplitudes of a nonlinear multimode damped beam without the need of nonlinear equation solver for the nonlinear algebraic equations generated in the harmonic balance processes. …”
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1767
Surface crystal-orientation-dependent second-order nonlinear optical properties of cubic boron arsenide (c-BAs)
Published 2025-01-01“…However, there is relatively little research on the nonlinear optical properties of c-BAs. Herein, the electronic, linear, and nonlinear second-order optical properties have been systematically investigated by the first principles calculation method. …”
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1768
Power Flow in a Two-Stage Nonlinear Vibration Isolation System with High-Static-Low-Dynamic Stiffness
Published 2018-01-01“…Increasing both upper and lower nonlinear stiffness could bend the first resonant peak to the left. …”
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1769
INTELLIGENT LIQUID LEVEL CONTROL OF A COUPLED NONLINEAR THREE TANK SYSTEM SUBJECTED TO VARIABLE FLOW PARAMETERS
Published 2021-06-01“… In this paper, an intelligent control system technique is proposed to model and control of a nonlinear coupled three tank system. Two pumps fed the tank 1 and tank 2 and a fractional flow of these two pumps fed tank 3. …”
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1770
Study on Tooth Profile Synthesis and Nonlinear Mechanical Property of Dual Shock Wave Sleeve Movable Tooth Transmission
Published 2020-06-01Subjects: Get full text
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1771
Global convergence in a modified RMIL-type conjugate gradient algorithm for nonlinear systems of equations and signal recovery
Published 2024-11-01Subjects: “…nonlinear systems of equations…”
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1772
Existence and Asymptotic Behavior of Boundary Blow-Up Solutions for Weighted p(x)-Laplacian Equations with Exponential Nonlinearities
Published 2010-01-01“…This paper investigates the following p(x)-Laplacian equations with exponential nonlinearities: −Δp(x)u+ρ(x)ef(x,u)=0 in Ω, u(x)→+∞ as d(x,∂Ω)→0, where −Δp(x)u=−div(|∇u|p(x)−2∇u) is called p(x)-Laplacian, ρ(x)∈C(Ω). …”
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1773
A Multiple-Kernel Relevance Vector Machine with Nonlinear Decreasing Inertia Weight PSO for State Prediction of Bearing
Published 2015-01-01“…As the selection of the parameters of the kernel functions and the controlled parameter has a certain influence on the prediction results of MkRVM, nonlinear decreasing inertia weight PSO (NDIWPSO) is used to select its kernel parameters and controlled parameter. …”
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1774
Research and Application of the Formula for Calculating Discharge Coefficient of the Spillway Broad Crest Weir Based on the Binary Nonlinear Fitting
Published 2021-01-01Subjects: “…binary nonlinear fitting…”
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1775
Lyapunov Functions for a Class of Discrete SIRS Epidemic Models with Nonlinear Incidence Rate and Varying Population Sizes
Published 2014-01-01“…We investigate the dynamical behaviors of a class of discrete SIRS epidemic models with nonlinear incidence rate and varying population sizes. …”
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1776
Enhanced Modeling and Control of Organic Rankine Cycle Systems via AM‐LSTM Networks Based Nonlinear MPC
Published 2025-01-01“…However, the inherent complexity, strong and unidentified nonlinearity, and control constraints pose significant challenges to designing an optimal controller for ORC systems. …”
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1777
Neural Network-Based Nonlinear Fixed-Time Adaptive Practical Tracking Control for Quadrotor Unmanned Aerial Vehicles
Published 2020-01-01“…This brief addresses the position and attitude tracking fixed-time practical control for quadrotor unmanned aerial vehicles (UAVs) subject to nonlinear dynamics. First, by combining the radial basis function neural networks (NNs) with virtual parameter estimating algorithms, a NN adaptive control scheme is developed for UAVs. …”
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1778
Application of Nonlinear Time-Fractional Partial Differential Equations to Image Processing via Hybrid Laplace Transform Method
Published 2018-01-01“…This work considers a hybrid solution method for the time-fractional diffusion model with a cubic nonlinear source term in one and two dimensions. Both Dirichlet and Neumann boundary conditions are considered for each dimensional case. …”
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1779
A Hybrid Fault-Tolerant Control for Nonlinear Active Suspension Systems Subjected to Actuator Faults and Road Disturbances
Published 2020-01-01“…This paper proposes a hybrid fault-tolerant control strategy for nonlinear active suspension subjected to actuator faults and road disturbances. …”
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1780
Approximation-Based Fixed-Time Adaptive Tracking Control for a Class of Uncertain Nonlinear Pure-Feedback Systems
Published 2020-01-01“…Radial basis function neural networks are introduced to approximate unknown functions for solving the fixed-time control problem of unknown nonlinear pure-feedback systems, and the mean value theorem is used to solve the problem of nonaffine structure in nonlinear pure-feedback systems. …”
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