Results 231 to 240 of about 439,715 (267)

IDENTIFICATION OF TIME VARYING PARAMETERS OF THE ROBOT DYNAMICS

IFAC Proceedings Volumes, 1988
Abstract The robot dynamics consists of the dynamics of the mechanics, the servo-drives, and the robot controller structure. The dynamics of the mechanics is simulated by the equation of motion which is set up automatically by a computer program. The robot controller is taken into account too, to simulate the robot dynamics.
U. Zimmermann, H. Wunderlich, H. Rake, M. Bruns   +3 more
openaire   +1 more source

LMS-LIKE ESTIMATION FOR TIME VARYING PARAMETERS

Acta Mathematica Scientia, 1991
The authors consider linear models of the type \(y_ n=\varphi^ \tau_ n\theta_ n+v_ n\), \(n\geq 0\), where \(\theta_ n\) denotes a (possibly random) time-dependent parameter of interest, \(y_ n\) the (real-valued) system output, \(\varphi_ n\) an \(r\)-dimensional regressor, and \(v_ n\) the system noise.
Chen, H. F., Guo, L., Zhang, J. F.
openaire   +2 more sources

Parameter estimation on linear time-varying systems

Journal of the Franklin Institute, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Luiz Cláudio Andrade Souza, Reinaldo Martinez Palhares   +1 more
openaire   +2 more sources

Time‐Varying Parameter Realized Volatility Models

Journal of Forecasting, 2016
In this paper, we introduce the functional coefficient to heterogeneous autoregressive realized volatility (HAR‐RV) models to make the parameters change over time. A nonparametric statistic is developed to perform a specification test. The simulation results show that our test displays reliable size and good power.
Wang, Yudong, Pan, Zhiyuan, Wu, Chongfeng   +2 more
openaire   +2 more sources

Stochastic Learning of Time-Varying Parameters in Random Environment

IEEE Transactions on Systems Science and Cybernetics, 1969
Summary: The problem of learning in nonstationary environment is formulated as that of estimating time-varying parameters of a probability distribution which characterizes the process under study. Dynamic stochastic approximation algorithms are proposed to estimate the unknown time-varying parameters in a recursive fashion.
Yi-Tzuu Chien, King-Sun Fu
openaire   +2 more sources

Adaptive Control in the Presence of Time-Varying Parameters

Journal of Economic Dynamics and Control, 1997
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +4 more sources

Queues with Time Varying Parameters

2016
Most queueing systems discussed in the literature are those with input parameters that are stationary or static. However as most people will find, these parameters in real life are usually time-varying, especially the arrival parameters. For example, the arrival probability of a packet may depend on the time of the day.
openaire   +1 more source

Identification of time-varying systems with abrupt parameter changes

Automatica, 1991
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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The synchronized dynamics of time-varying networks

Physics Reports, 2022
Dibakar Ghosh, Mattia Frasca, Alessandro Rizzo   +2 more
exaly  

Cointegration and time-varying parameters

European Economic Review, 1993
G. Canarella, S. Pollard, K. Lai
openaire   +2 more sources