Evaluation of Semi-Analytical/Empirical Freezing Time Estimation Methods Part II: Irregularly Shaped Food Items

Vehicle parameters are essential for dynamic analysis and control systems. One problem of the current estimation algorithm for vehicles’ parameters is that: real-time estimation methods only identify parts of vehicle parameters, whereas other parameters such as suspension damping coefficients and suspension and tire stiffnesses are assumed to be known in advance by means of an inertial parameter measurement device (IPMD). In this study, a fusion algorithm is proposed for identifying comprehensive vehicle parameters without the help of an IPMD, and vehicle parameters are divided into time-independent parameters (TIPs) and time-dependent parameters (TDPs) based on whether they change over time. TIPs are identified by a hybrid-mass state-variable (HMSV). A dual unscented Kalman filter (DUKF) is applied to update both TDPs and online states. The experiment is conducted on a real two-axle vehicle and the test data are used to estimate both TIPs and TDPs to validate the accuracy of the proposed algorithm. Numerical simulations are performed to further investigate the algorithm’s performance in terms of sprung mass variation, model error because of linearization and various road conditions. The results from both the experiment and simulation show that the proposed algorithm can estimate TIPs as well as update TDPs and online states with high accuracy and quick convergence, and no requirement of road information.

Download Full-text

Advances in Time Estimation Methods for Molecular Data

Molecular Biology and Evolution ◽

10.1093/molbev/msw026 ◽

2016 ◽

Vol 33 (4) ◽

pp. 863-869 ◽

Cited By ~ 61

Author(s):

Sudhir Kumar ◽

S. Blair Hedges

Keyword(s):

Time Estimation ◽

Molecular Data ◽

Estimation Methods

Download Full-text

Time Estimation Methods—Do They Influence Prospective Duration Estimates?

Perception ◽

10.1068/p220091 ◽

1993 ◽

Vol 22 (1) ◽

pp. 91-101 ◽

Cited By ~ 100

Author(s):

Dan Zakay

Keyword(s):

Information Processing ◽

Positive Relationship ◽

Negative Relationship ◽

Estimation Method ◽

Time Estimation ◽

Estimation Methods ◽

Clock Time ◽

Processing Load ◽

Attentional Model ◽

Time Length

The validity of an attentional model of prospective time estimation was tested in three experiments. In the first experiment two variables were manipulated: (1) nontemporal information processing load during the estimated interval, and (2) time estimation method, ie production of time simultaneously with the performance of a second task, or reproduction of time immediately upon termination of a task whose duration has to be measured. As predicted, a positive relationship between produced time length and information processing load demanded by a simultaneous task, and a negative relationship between reproduced time length and information processing load during the estimated interval, were found. The results were replicated in a second experiment in which verbal estimates of time were also measured and the objective duration of the estimated interval was varied. The pattern of results obtained for verbal estimates was similar to that obtained for reproduced ones. The results of a third experiment indicated that produced and reproduced times were positively correlated with clock time. The results are interpreted as supporting an attentional model of prospective time estimation.

Download Full-text