A New Parametric Estimation Algorithm for Large-Scale Systems Described by State-Space Mathematical Models
This paper is concerned with the parametric estimation problem for large-scale systems composed of several interconnected systems, which are described by linear discrete-time state-space mathematical models with unknown parameters. A new recursive parametric estimation algorithm with a particular adaptive gain is proposed for estimating the interconnected system parameters. The stability analysis of the developed parametric estimation scheme is treated by using the Lyapunov method. The proposed recursive parametric estimation algorithm is applied to estimate the parameters of a large-scale systems composed of three interconnected systems. The obtained numerical simulation results show the good performance of this algorithm.
Copyright © 2018 Praise Worthy Prize - All rights reserved.
M. Kamoun and A. Titli, Parametric identification of large scale discrete time systems, Information and Decision Technologies, Vol. 14: 289-306, 1988.
T. Söderström, Errors-in-variables methods in system identification, Automatica, Vol. 43: 939-958, 2007.
S. Kamoun, Design of parametric and state estimation algorithms for stochastic systems, International Journal of Sciences and Techniques of Automatic control & computer engineering, Vol. 1:120-135, 2007.
L. Ljung, System Identification: Theory for the User (Prentice-Hall, 1999).
T. Söderström and P. Stoica, System Identification (Prentice-Hall, 1989).
D. D. Šiljak, Decentralized Control of Complex Systems (Academic Press, 1994).
M. Kamoun, Design of robust adaptive regulators for large-scale systems, International Journal of Systems Science, Vol. 26: 47-63, 1995.
M. Jamshidi, Large-Scale Systems: Modeling, Control and Fuzzy Logic (Prentice-Hall, 1997).
Kamoun, S., Development of Recursive Estimation Algorithms for Large-Scale Stochastic Systems Using the Maximum Likelihood Method, (2008) International Review on Modelling and Simulations (IREMOS), 1 (2)
P. Panagi and M. M. Polycarpou, Decentralized adaptive approximation based control of a class of large-sale systems, IEEE American Control Conference, Seattle, Washington, USA, pp. 4101-4196, June 2008.
S. Kamoun and M. Kamoun, On the description of large-scale stochastic systems by discrete-time mathematical models, International conference on Sciences and Techniques of Automatic control & computer engineering, CD-Rom DI-486, pp. 1-16, Sousse, December 2008.
J. Bernussou and A. Titli, Interconnected Dynamical Systems: Stability, Decomposition and Decentralisation (North-Holland, 1982).
J. Lavaei and A.G. Aghdam, High-performances decentralized control design for general interconnected systems with applications in cooperative control, International Journal of Control, Vol. 80: 935-951, 2007.
K.J. Åstrőm and B. Wittenmark, Computer Controlled Systems (Prentice-Hall, 1990).
W. J. Wang and J. L. Lee, A simple condition for decentralized adaptive identification of partially known interconnected systems, System and Control Letters, Vol. 20: 19-25, 1993.
- There are currently no refbacks.
Please send any question about this web site to firstname.lastname@example.org
Copyright © 2005-2019 Praise Worthy Prize