Direct and indirect least squares methods in continuous-time parameter estimation

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Vajda, S., et al. “Direct and Indirect Least Squares Methods in Continuous-Time Parameter Estimation”. Automatica, vol. 23, no. 6, 1987, pp. 707-18, https://doi.org/10.1016/0005-1098(87)90027-6.
Vajda, S., Valkó, P., & Godfrey, K. (1987). Direct and indirect least squares methods in continuous-time parameter estimation. Automatica, 23(6), 707-718. https://doi.org/10.1016/0005-1098(87)90027-6
Vajda, S., P. Valkó, and K.R. Godfrey. “Direct and Indirect Least Squares Methods in Continuous-Time Parameter Estimation”. Automatica 23, no. 6 (1987): 707-18. https://doi.org/10.1016/0005-1098(87)90027-6.
Vajda S, Valkó P, Godfrey K. Direct and indirect least squares methods in continuous-time parameter estimation. Automatica. 1987;23(6):707-18.
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Refrences Analysis
Category Category Repetition
Technology: Mechanical engineering and machinery18
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics9
Technology: Engineering (General). Civil engineering (General)9
Science: Mathematics7
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks6
Science: Biology (General)6
Science: Mathematics: Probabilities. Mathematical statistics4
Science: Chemistry: Physical and theoretical chemistry4
Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods2
Science: Physics2
Science: Chemistry: Organic chemistry: Biochemistry2
Science: Chemistry2
Science: Mathematics: Instruments and machines: Electronic computers. Computer science1
Medicine: Medicine (General): Computer applications to medicine. Medical informatics1
The category Technology: Mechanical engineering and machinery 18 is the most frequently represented among the references in this article. It primarily includes studies from Automatica and Technometrics. The chart below illustrates the number of referenced publications per year.
Refrences used by this article by year
Citations
Title Journal Journal Categories Citations Publication Date
Identification of linear continuous-time systems under irregular and random output sampling Automatica
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
 11 2015
Identifiability and Parameter Estimation of Linear Continuous-time Systems under Irregular and Random Sampling**The work was supported by National Key Basic Research Program of China (973 program) under grant No. 2014CB845301 and the NSF of China under Grants No. 61273193, 61120106011, 61134013, and 61403027, and in part by the Army Research Office under grant W911NF-12-1-0223. IFAC-PapersOnLine 2015
Principal Component Analysis of Dynamical Features in the Peroxidase−Oxidase Reaction Analytical Chemistry
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Dynamic modelling of consecutive reactions: Application to the acrylonitrile amination

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Citations Analysis
Category Category Repetition
Science: Chemistry3
Technology: Environmental technology. Sanitary engineering3
Science: Biology (General): Ecology3
Technology: Chemical technology: Chemical engineering2
Science: Chemistry: Analytical chemistry1
Technology: Mechanical engineering and machinery1
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks1
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics1
Technology: Engineering (General). Civil engineering (General)1
Science: Mathematics: Instruments and machines: Electronic computers. Computer science1
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software1
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware1
Geography. Anthropology. Recreation: Environmental sciences1
The category Science: Chemistry 3 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Numerical deconvolution using system identification methods and was published in 1988. The most recent citation comes from a 2015 study titled Identifiability and Parameter Estimation of Linear Continuous-time Systems under Irregular and Random Sampling**The work was supported by National Key Basic Research Program of China (973 program) under grant No. 2014CB845301 and the NSF of China under Grants No. 61273193, 61120106011, 61134013, and 61403027, and in part by the Army Research Office under grant W911NF-12-1-0223.. This article reached its peak citation in 1996, with 3 citations. It has been cited in 9 different journals. Among related journals, the Ecological Modelling cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year