CONTINUOUS-TIME PARAMETER IDENTIFICATION FOR LPV MODELS USING ADAPTIVE OBSERVERS

2006 ◽  
Vol 39 (9) ◽  
pp. 101-106 ◽  
Author(s):  
Péter Gáspár, ◽  
Zoltán Szabó ◽  
József Bokor
Keyword(s):  
Parameter Identification ◽  
Continuous Time ◽  
Time Parameter ◽  
Adaptive Observers

On quasi-stationary distributions in absorbing continuous-time finite Markov chains

1967 ◽  
Vol 4 (1) ◽  
pp. 192-196 ◽  
Author(s):  
J. N. Darroch ◽  
E. Seneta
Keyword(s):  
Markov Chains ◽  
Discrete Time ◽  
Continuous Time ◽  
Present Note ◽  
Time Parameter ◽  
Stationary Distributions ◽  
Finite State ◽  
Absorbing Markov Chains ◽  
Finite Markov Chains ◽  
Finite State Space

In a recent paper, the authors have discussed the concept of quasi-stationary distributions for absorbing Markov chains having a finite state space, with the further restriction of discrete time. The purpose of the present note is to summarize the analogous results when the time parameter is continuous.

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

Automatica ◽  
1987 ◽  
Vol 23 (6) ◽  
pp. 707-718 ◽  
Author(s):  
S. Vajda ◽  
P. Valkó ◽  
K.R. Godfrey
Keyword(s):  
Parameter Estimation ◽  
Least Squares ◽  
Continuous Time ◽  
Time Parameter
Sign in / Sign up

Export Citation Format

Share Document