Study of nonlinear parameter identification using UKF and Maximum Likelihood method

  title={Study of nonlinear parameter identification using UKF and Maximum Likelihood method},
  author={Zhen Sun and Zhenyu Yang},
  journal={2010 IEEE International Conference on Control Applications},
The nonlinear parameter identification is studied using UKF and Maximun Likelihood (ML) method. The proposed scheme consists of two sequential stages. The first stage conducts the state estimation using UKF, where the estimated state is a function of unknown parameters. A likelihood function is constructed in the second stage based on the estimated state. Thereby, the parameter identification problem becomes an optimization of the parameterized likelihood function. The proposed method is… CONTINUE READING

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PhD course materials: System Identification

H. Madsen
AAU PhD school, AAU, Aalborg, Denmark • 2009

A grey-box process identification tool: Theory and practice

T. Bohlin
Technical Report IR-S3-REG-0103, Department of Signals, Sensors and Systems, Royal Institute of Technology, Stockholm, Sweden • 2001
View 2 Excerpts

A New Extension of the Kalman Filter to NonlinearSystemsSimon

NonlinearSystemsSimon J. Julier Je rey K. Uhlmannsiju
View 1 Excerpt

A new approach for filering nonlinear systems

S. Julier, J. Uhlmann, H. D. Whyte
Proceedings of the 1995 American Control Conference, • 1995
View 2 Excerpts

Issues in nonlinear stochastic grey-box identification

T. Bohlin, S. F. Graebe
Intrernational Journal of Adaptive Control and Signal Processing, No. 9 • 1995
View 1 Excerpt

CTLSM version 2.6-a program for parameter estimation in stochastic differential equations

H. Melgaard, H. Madsen
Technical report, IMSOR, • 1993
View 1 Excerpt

Numerical solution of stochastic differential equations

P. E. Kloeden, E. Platen
Springer, Berlin, Germany • 1992
View 3 Excerpts

Statistically determined dynamical models for climate processes

H. Madsen
PhD thesis, IMSOR, DTH, Lyngby • 1985
View 1 Excerpt

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