Dynamic Analysis of Mechanical Systems With Time-Varying Topologies: Part 2 — Global Analysis and Simulation Results

1990 ◽  
Author(s):  
Yu Wang
Keyword(s):  
Global Analysis ◽  
Mapping Method ◽  
Time Varying ◽  
Numerical Techniques ◽  
Time Model ◽  
Discrete Time Model ◽  
Regions Of Stability ◽  
Simulation Results ◽  
Backward Mapping

Abstract The discrete time model developed in Part 1 has been applied to the determination of regions of stability. The backward mapping method is applied and the associated numerical properties are discussed. The model is combined with conventional numerical techniques to form a computer simulation system which is more reliable and accurate in handling the topological changes. The simulation results of an example system are presented.

Global Analysis and Simulation of Mechanical Systems with Time-Varying Topologies

1993 ◽  
Vol 115 (4) ◽  
pp. 817-821 ◽  
Author(s):  
Yu Wang
Keyword(s):  
Global Analysis ◽  
Mapping Method ◽  
Time Varying ◽  
Numerical Techniques ◽  
Time Model ◽  
Discrete Time Model ◽  
Its Regions ◽  
Regions Of Stability ◽  
Simulation Results ◽  
Backward Mapping

We apply the discrete time model of a mechanical system with time-varying topologies to determine its regions of stability. The backward mapping method is applied and the associated numerical properties are discussed. The model is combined with conventional numerical techniques to form a computer simulation system which is more reliable and accurate in handling the topological changes. The simulation results of an example system are presented.

Forward Prediction-Based Approach to the Out-of-Sequence Measurement Problem with Correlated Noise

2013 ◽  
Vol 347-350 ◽  
pp. 443-447
Author(s):  
Ding Yuan ◽  
Jian Wang Hu ◽  
Bing Ji ◽  
Wei Liang
Keyword(s):  
Measurement Problem ◽  
Time Measurement ◽  
Correlated Noise ◽  
Process Noise ◽  
Time Model ◽  
Discrete Time Model ◽  
Information Filter ◽  
Forward Prediction ◽  
Simulation Results ◽  
Negative Time

In target tracking systems, measurements from the same target can arrive out-of-sequence. Such OOSM arrivals can induce negative-time measurement update problem. In order to solve the l-step-lag OOSM problem with correlated process noise and measurement noise, a new algorithm based on forward prediction is proposed. A modified information filter is adopted so as to eliminate the correlated noise. By defining an equivalent measurement the l-step-lag OOSM problem is transformed into 1-step-lag problem. The new algorithm is independent with the discrete time model of the process noise. The storage requirements and calculations are reduced. The simulation results show its effectiveness.

A hybrid analytical-numerical method based on Isogeometric Analysis for determination of time varying gear mesh stiffness

2021 ◽  
Vol 160 ◽  
pp. 104291
Author(s):  
Andreas Beinstingel ◽  
Michael Keller ◽  
Michael Heider ◽  
Burkhard Pinnekamp ◽  
Steffen Marburg
Keyword(s):  
Numerical Method ◽  
Isogeometric Analysis ◽  
Time Varying ◽  
Mesh Stiffness ◽  
Gear Mesh ◽  
Gear Mesh Stiffness
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