Parameter estimation in dynamic systems
M2SABI Proceedings of the 1st IMACS-IFAC symposium on Mathematical modelling and simulation in agriculture and bio-industries
Direct search methods: then and now
Journal of Computational and Applied Mathematics - Special issue on numerical analysis 2000 Vol. IV: optimization and nonlinear equations
A smoothing Gauss-Newton method for the generalized HLCP
Journal of Computational and Applied Mathematics - Special issue on nonlinear programming and variational inequalities
Genetic Algorithms and Grouping Problems
Genetic Algorithms and Grouping Problems
Numerical Data Fitting in Dynamical Systems: A Practical Introduction with Applications and Software
Numerical Data Fitting in Dynamical Systems: A Practical Introduction with Applications and Software
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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A new method is given to optimize parameters in dynamical systems by supplementing conventional methods with a procedure of contractive mapping. The dynamical system is first decoupled in order to reduce the search size. The reference curves and the simulation curves are obtained with the pre-optimization. A contractive mapping procedure is designed to asymptotically reduce the differences between the curves, whereby the parameters are further optimized. Numerical results indicate that the present method can solve some large-scale problems that are difficult for the previous methods.