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Artificial Neural Network-Based PID Parameter Estimation Using Black Kite Algorithm Hyperparameter Optimization for DC Motor Speed Control. [PDF]

Biomimetics (Basel)
Arıkuşu YS.
europepmc   +1 more source

Composite learning based finite time nonsingular terminal sliding mode path tracking control for intelligent vehicles. [PDF]

PLoS One
Wu C.
europepmc   +1 more source

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A Constant Gain Learning Explanation of U.S. Post War Inflation and Unemployment

Journal of Quantitative Economics, 2022
Raamasrinivas Mangapuram
openaire   +3 more sources

Learning Constant-Gain Stabilizing Controllers for Frequency Regulation Under Variable Inertia

IEEE Control Systems Letters, 2022
Priyank Srivastava, Patricia Hidalgo-Gonzalez, Jorge Cortés 0001   +2 more
openaire   +4 more sources

Constant gain learning and business cycles

Journal of Macroeconomics, 2006
Abstract This paper presents a simple production economy populated by infinitely lived boundedly rational households making one-period ahead adaptive prices forecasts and using the economy’s balanced growth path characteristics to predict future streams of physical capital holdings and consumption.
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Comments on “Constant gain learning and business cycles”

Journal of Macroeconomics, 2006
Abstract There are two contracting viewpoints concerning the explanation of observed fluctuations in economics. According to the first view the main source of fluctuations is to be found in exogenous, random shocks to fundamentals. According to the second view a significant part of observed fluctuations is caused by non-linear economic laws.
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Estimation of Constant Gain Learning Models [PDF]

, 2012
This paper provides a concise primer on the estimation of constant gain learning models. One practical concern in the estimation procedure is the initialization of the learning parameters. The popular approach in the literature relies on a training sample to estimate these quantities. We also consider the alternative, that of estimating these alongside
Eric Gaus, Srikanth Ramamurthy
openaire  

On the power of direct tests for rational expectations against the alternative of constant gain learning [PDF]

, 2010
In this paper we study the power of direct tests for rational expectations against the constant gain learning alternative. The investigation is by means of a Monte Carlo study. The tests considered use quantitative expectations data and qualitative survey data that has been quantified.
Victor Bystrov, Anna Staszewska-Bystrova
openaire  

Heterogeneity in individual expectations, sentiment, and constant-gain learning

Journal of Economic Behavior and Organization, 2021
Fabio Milani, Stephen Cole
exaly