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Constrained parameter-splitting perturbation method for the improved solutions to the nonlinear vibrations of Euler–Bernoulli cantilevers
In this paper, a new method named constrained parameter-splitting perturbation method for improving the solutions obtained from the...
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Deep learning based on parameterized physical forward model for adaptive holographic imaging with unpaired data
Holographic imaging poses the ill posed inverse map** problem of retrieving complex amplitude maps from measured diffraction intensity patterns....
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Analysis of a cylindrically orthotropic disk using a regular perturbation method
We employ a regular perturbation method to construct approximate solutions for a class of boundary value problems in classical linear elasticity. A...
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Parameterized Modelling of Stage Separation of Launch Vehicles with Modelica
In order to improve launching capability and performance, almost all launch vehicles in active service contain two or more stages. During the launch...
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Adaptive neural control of nonlinear periodic time-varying parameterized mixed-order multi-agent systems with unknown control coefficients
In this paper, we first consider the adaptive leader-following consensus problem for a class of nonlinear parameterized mixed-order multi-agent...
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Nonlinear trajectory tracking control of underactuated AUVs using the state-dependent Riccati equation (SDRE) with parameter perturbation
This paper deals with a novel direct state-dependent Riccati equation (SDRE) controller designed for trajectory tracking of underactuated autonomous...
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Empower parameterized generative adversarial networks using a novel particle swarm optimizer: algorithms and applications
In this paper, a novel parameterized generative adversarial network (GAN) is proposed where the parameters are introduced to enhance the performance...
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Perturbation rejection and active fall recovery for biped robots based on the capture point dynamics
This work presents a control procedure to overcome perturbations during biped gait. It exploits the Capture Point dynamics to adapt the gait pattern....
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Inverse Design Method of Pressure Distribution Using Variational Autoencoder
Inverse design is an efficient and powerful design tool in the aircraft industry, however, most of the methods require physically meaningful pressure...
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Robust shape optimization under model uncertainty of an aircraft wing using proper orthogonal decomposition and inductive design exploration method
Robust aerodynamic shape optimization of aircraft components is a computationally expensive process due to a high number of parametrized design...
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Out-of-plane equilibrium points and invariant manifolds about an asteroid with gravitational orbit—attitude coupling perturbation
By considering the spacecraft as an extended, rigid body with a prior known attitude instead of a point mass, the attitude-restricted orbital dynamics ...
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Nonlinear dynamic modeling and optimal control of \(J_2\) perturbed spacecraft formation flying with periodic coefficients
Nonlinear time-varying system, such as a spacecraft formation flying system with chief spacecraft in elliptical orbit and under the effect of...
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Surrogate-Assisted Hybrid Searching Method for High-Dimensional Expensive Optimization Problems
To address the challenges of intensive computation cost and poor convergence for high-dimensional expensive optimization problems, a...
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A IPMSM Current Control Method Based on Reinforcement Learning
The control problem of Interior Permanent Magnet Synchronous Motor (IPMSM) under external disturbance has always been a difficult problem in the...
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Application of Spectral Stochastic Finite Element via Galerkin Method in Beam Bending Theories
In stochastic structural mechanics it is possible to associate uncertainties with material properties, geometry, and external loading, whereas...
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A novel optimization approach for axial turbine blade cascade via combination of a continuous-curvature parameterization method and genetic algorithm
A continuous-curvature parameterization method was coupled with the genetic algorithm and a RANS flow solver to optimize the cascade of VKI and...
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A deep learning method for computing mean exit time excited by weak Gaussian noise
Exit events induced by noise from the attracting domain containing a stable fixed point are ubiquitous phenomena in physical systems, wherein mean...
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Research on Synchronous Control Method of Dual Motor Based on ADRC Speed Compensation
To solve the problem of inconsistent speed response time of dual motors under load disturbance, a synchronous control method of dual motors based on...
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Topology optimization with a parametric level set method for double porosity poroelastic sound-absorbing structures
The mesoscopic pores of double-porosity media are usually designed to enhance the pressure diffusion effect to improve sound absorption. In this...
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Coupling Finite Element Method with Incremental Harmonic Balance Method for Analysis of Nonlinear Vibrations of Stepped Beams and Frames
The developed numerical methodology allows analysis of nonlinear vibrations of stepped beams and frames with contrast elastic properties. The...