Continuous-Time System Monitoring via a Continuous-Time Model Parameter Estimation

2000 ◽  
Vol 33 (17) ◽  
pp. 1117-1121
Author(s):  
B. Bensaker
Keyword(s):  
Parameter Estimation ◽  
Continuous Time ◽  
System Monitoring ◽  
Continuous Time Model ◽  
Time System ◽  
Time Model ◽  
Model Parameter ◽  
Model Parameter Estimation ◽  
Continuous Time System

scholarly journals Extreme stability and almost periodicity in continuous and discrete neuronal models with finite delays

2002 ◽  
Vol 44 (2) ◽  
pp. 261-282 ◽  
Author(s):  
S. Mohamad ◽  
K. Gopalsamy
Keyword(s):  
Discrete Time ◽  
Continuous Time ◽  
Model Neuron ◽  
Sufficient Conditions ◽  
External Stimulus ◽  
Input Stimulus ◽  
Time System ◽  
Time Model ◽  
Discrete Time Model ◽  
Continuous Time System

We consider the dynamical characteristics of a continuous-time isolated Hopfield-type neuron subjected to an almost periodic external stimulus. The model neuron is assumed to be dissipative having finite time delays in the process of encoding the external input stimulus and recalling the encoded pattern associated with the external stimulus. By using non-autonomous Halanay-type inequalities we obtain sufficient conditions for the hetero-associative stable encoding of temporally non-uniform stimuli. A brief study of a discrete-time model derived from the continuous-time system is given. It is shown that the discrete-time model preserves the stability conditions of the continuous-time system.

On Zeros of Discrete-Time Models for Collocated Mass-Damper-Spring Systems

2004 ◽  
Vol 126 (1) ◽  
pp. 205-210 ◽  
Author(s):  
Mitsuaki Ishitobi ◽  
Shan Liang
Keyword(s):  
Discrete Time ◽  
Continuous Time ◽  
Sampling Period ◽  
Sufficient Condition ◽  
Time System ◽  
Time Model ◽  
Discrete Time Model ◽  
Mass Damper ◽  
Approximate Expressions ◽  
Continuous Time System

When a continuous-time system is discretized using the zero-order hold, there is no simple relation which shows how the zeros of the continuous-time system are transformed by sampling. In this paper, for a discrete-time model of a collocated mass-damper-spring system, the asymptotic behavior of the zeros is analyzed with respect to the sampling period and the linear approximate expressions are given. In addition, the linear approximate expressions lead to a sufficient condition for all the zeros of the discrete-time model to lie inside the unit circle for sufficiently small sampling periods. The sufficient condition is satisfied when a damping matrix is positive definite. Moreover, an example is shown to illustrate the validity of the linear approximations. Finally, a comment for a noncollocated system is presented.

DISCRETE TIME REPRESENTATIONS OF COINTEGRATED CONTINUOUS TIME MODELS WITH MIXED SAMPLE DATA

2009 ◽  
Vol 25 (4) ◽  
pp. 1030-1049 ◽  
Author(s):  
Marcus J. Chambers
Keyword(s):  
Discrete Time ◽  
Continuous Time ◽  
Time System ◽  
Time Model ◽  
Stochastic Trends ◽  
Sample Data ◽  
Flow Variables ◽  
Mixed Stock ◽  
Gaussian Estimation ◽  
Continuous Time System

This paper derives an exact discrete time representation corresponding to a triangular cointegrated continuous time system with mixed stock and flow variables and observable stochastic trends. The discrete time model inherits the triangular structure of the underlying continuous time system and does not suffer from the apparent excess differencing that has been found in some related work. It can therefore serve as a basis for the study of the asymptotic sampling properties of estimators of the model's parameters. Some further analytical and computational results that enable Gaussian estimation to be implemented are also provided.

Parameter Estimation of a DC/DC Buck converter using a continuous time model

2007 ◽  
Author(s):  
Gustavo Malagoni Buiatti ◽  
Acacio Manuel Raposo Amaral ◽  
Antonio Joao Marques Cardoso
Keyword(s):  
Parameter Estimation ◽  
Continuous Time ◽  
Buck Converter ◽  
Continuous Time Model ◽  
Time Model
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