Estimation of the Dynamic Characteristics of a Process Without Self-Regulation by Using the Method of Least-Squares

Transactions of the Society of Instrument and Control Engineers
doi 10.9746/sicetr1965.2.289
Full Text
Abstract

Available in full text

Date
Authors
Publisher

The Society of Instrument and Control Engineers

Related search

Dynamic Nonlinear Partial Least Squares Modeling Using Gaussian Process Regression

English

Implementation of the Sustainable Method of the Least Squares Using Accountability Measures

Journal of science and education
2018English

Parameter Estimation of Least Squares Collocation

2016English

Efficient Parameters Estimation Method for the Separable Nonlinear Least Squares Problem

Complexity
MultidisciplinaryComputer Science
2020English

Robust Estimation of the Vector Autoregressive Model by a Least Trimmed Squares Procedure

English

New Meridian Arc Formulae by the Least Squares Method

Journal of Navigation
Ocean EngineeringOceanography
2014English

Solution of Quadratic Matrix Equations by Least-Squares Method

Quarterly of Applied Mathematics
Applied Mathematics
1972English

Higher-Order Asymptotic Expansions of the Least-Squares Estimation Bias in First-Order Dynamic Regression Models

Computational Statistics and Data Analysis
StatisticsProbabilityApplied MathematicsComputational TheoryComputational MathematicsMathematics
2012English

Least Squares Estimation of a Shift in Linear Processes

Journal of Time Series Analysis
UncertaintyApplied MathematicsStatisticsProbability
1994English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy