Earticle

초록

영어

In this research we investigate condition numbers obtained from least squares estimation for a car-trailer system to characterize estimation performance. In this case, we can select better parameter estimation methods or well-posed measured data sets for the car-trailer system using condition numbers. We calculate condition numbers from several different linear model-based least squares methods which use four linear regression models and three least squares methods to estimate trailer parameters. We also consider three different observed data sets in ideal and non-ideal sensor scenarios for simulation tests.

목차

Abstract
 1. Introduction
 2. Least Squares Techniques
  2.1. Least Squares Techniques: OLS1, OLS2, and TLS
  2.2. Condition Number
 3. Linear Regression Model
  3.1. Exact Model (EM)
  3.2. Prediction Model (PM)
 4. Estimation Methods
 5. Simulation Results and Discussion
 6. Conclusion
 Acknowledgements
 References

키워드

저자

• Youngshik Kim [ Mechanical Engineering, Hanbat National University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Software Engineering and Its Applications

• 간기

  월간

• pISSN

  1738-9984

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605