8,025 research outputs found
Distributed Antittack Fault-Tolerant Tracking Control for Vehicle Platoon Systems Under Cyber-Physical Threats
Vehicle platoon systems are considered as automatous vehicles in a platoon-based driving pattern in which a following vehicle follows the preceding vehicle and maintains the desired vehicle spacing. This article investigates the leader-following tracking issue of vehicle platoon systems under cyber-physical threats with the distributed antiattack fault-tolerant tracking control strategy. In this study, vehicle platoon systems, complicated actuator faults in physical layer, and connectivity-mixed attacks in the cyber layer are modeled, respectively. Decentralized fault-estimation unknown input observer and distributed antiattack fault-tolerant tracking control designs are developed in an integrated control framework to guarantee the robust and resilient tracking property of estimation errors and platoon tracking errors as well as the reliable intervehicle spacing by virtue of attack activation rate and attack frequency metrics. Simulations validate the proposed distributed antiattack fault-tolerant tracking control algorithm in pernicious cyber-physical threatened scenarios
Accurate universal models for the mass accretion histories and concentrations of dark matter halos
A large amount of observations have constrained cosmological parameters and
the initial density fluctuation spectrum to a very high accuracy. However,
cosmological parameters change with time and the power index of the power
spectrum varies with mass scale dramatically in the so-called concordance
Lambda CDM cosmology. Thus, any successful model for its structural evolution
should work well simultaneously for various cosmological models and different
power spectra. We use a large set of high-resolution N-body simulations of a
variety of structure formation models (scale-free, standard CDM, open CDM, and
Lambda CDM) to study the mass accretion histories (MAHs), the mass and redshift
dependence of concentrations and the concentration evolution histories of dark
matter halos. We find that there is significant disagreement between the
much-used empirical models in the literature and our simulations. According to
two simple but tight correlations we find from the simulation results, we
develop new empirical models for both the MAHs and the concentration evolution
histories of dark matter halos, and the latter can also be used to predict the
mass and redshift dependence of halo concentrations. These models are accurate
and universal: the same set of model parameters works well for different
cosmological models and for halos of different masses at different redshifts
and the model predictions are highly accurate even when the histories are
traced to very high redshift. These models are also simple and easy to
implement. A web calculator and a user-friendly code to make the relevant
calculations are available from http://www.shao.ac.cn/dhzhao/mandc.html . We
explain why Lambda CDM halos on nearly all mass scales show two distinct phases
in their evolution histories.Comment: 17 pages, including 22 figures, publicated in ApJ; V2: some new
figures added; V3: some typo fixe
Unity power factor control of hybrid excited axial field flux-switching permanent magnet machine
Hybrid excited axial field flux-switching permanent magnet (AFFSPM) (HEAFFSPM) machine is a novel stator-excitation hybrid excited synchronous machine, which combines the advantages of AFFSPM machine and wound-field excitation machine. In this paper, the structure feature of HEAFFSPM machine is analyzed, and the mathematical model is established. In order to improve the power factor of drive system for the HEAFFSPM machine and make full use of the inverter capability, a kind of unity power factor (UPF) control method is proposed, and the operating performance of HEAFFSPM machine is investigated. The validity of the proposed control method is verified by the simulation and experimental research. The results indicate the UPF can be achieved at different speed and load while the constant torque region is extended by using the UPF control method compared with the zero d-axis current control
A full multigrid method for linear complementarity problems arising from elastic normal contact problems
This paper presents a full multigrid (FMG) technique, which combines
a multigrid method, an active set algorithm and a nested iteration technique, to solve
a linear complementarity problem (LCP) modeling elastic normal contact problems.
The governing system in this LCP is derived from a Fredholm integral of the rst
kind, and its coecient matrix is dense, symmetric and positive denite. One multigrid
cycle is applied to solve this system approximately in each active set iteration.
Moreover, this multigrid solver incorporates a special strategy to handle the complementarity
conditions, including restricting both the defect and the contact area
(active set) to the coarse grid, and setting all quantities outside contact to zero.
The smoother is chosen by some analysis based on the eigenvectors of the iteration
matrix. This method is applied to a Hertzian smooth contact and a rough surface
contact problem
A fast nonlinear conjugate gradient based method for 3D concentrated frictional contact problems
This paper presents a fast numerical solver for a nonlinear constrained optimization problem, arising from 3D concentrated frictional shift and rolling contact problems with dry Coulomb friction. The solver combines an active set strategy with a nonlinear conjugate gradient method. One novelty is to consider the tractions of each slip element in a polar coordinate system, using azimuth angles as variables instead of conventional traction variables. The new variables are scaled by the diagonal of the underlying Jacobian. The fast Fourier transform (FFT) technique accelerates all matrix–vector products encountered, exploiting the matrix’ Toeplitz structure. Numerical tests demonstrate a significant reduction of the computational time compared to existing solvers for concentrated contact problems
Multigrid with FFT smoother for a simplified 2D frictional contact problem
This paper aims to develop a fast multigrid (MG) solver for a Fredholm integral equation of the first kind, arising from the 2D elastic frictional contact problem. After discretization on a rectangular contact area, the integral equation gives rise to a linear system with the coefficient matrix being dense, symmetric positive definite and Toeplitz. A so-called fast Fourier transform (FFT) smoother is proposed. This is based on a preconditioner M that approximates the inverse of the original coefficient matrix, and that is determined using the FFT technique. The iterates are then updated by Richardson iteration: adding the current residuals preconditioned with the Toeplitz preconditioner M. The FFT smoother significantly reduces most components of the error but enlarges several smooth components. This causes divergence of the MG method. Two approaches are studied to remedy this feature: subdomain deflation (SD) and row sum modification (RSM). MG with the FFT + RSM smoother appears to be more efficient than using the FFT + SD smoother. Moreover, the FFT + RSM smoother can be applied as an efficient iterative solver itself. The two methods related to RSM also show rapid convergence in a test with a wavy surface, where the Toeplitz structure is lost
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