1707 - 1707 |
International Journal of Control Special Issue on'nonlinear identification and estimation' - Preface Walter E, Young P |
1708 - 1717 |
A'Model-on-Demand' identification methodology for non-linear process systems Braun MW, Rivera DE, Stenman A |
1718 - 1736 |
Non-linear system identification using wavelet multiresolution models Coca D, Billings SA |
1737 - 1742 |
Optimal sensor scheduling for hidden Markov model state estimation Evans J, Krishnamurthy V |
1743 - 1753 |
Parametric identification methodology using sliding modes observer Floret-Pontet F, Lamnabhi-Lagarrigue F |
1754 - 1766 |
A quasi-ARMAX approach to modelling of non-linear systems Hu JL, Kumamaru K, Hirasawa K |
1767 - 1771 |
Comment on'A quasi-ARMAX approach to the modelling of non-linear systems' by J. Hu et al. Young P |
1772 - 1782 |
Guaranteed non-linear estimation using constraint propagation on sets Jaulin L, Kieffer M, Braems I, Walter E |
1783 - 1795 |
Inversion of non-linear stochastic models for the purpose of parameter estimation Markusson O, Hjalmarsson H |
1796 - 1806 |
Non-linear system identification using closed-loop data with no external excitation: the case of a lean combustion chamber Savaresi SM, Bitmead RR, Dunstan WJ |
1807 - 1823 |
Non-linear systemidentification using Hammerstein and non-linear feedback models with piecewise linear static maps Van Pelt TH, Bernstein DS |
1824 - 1836 |
Identification of multivariable bilinear state space systems based on subspace techniques and separable least squares optimization Verdult V, Verhaegen M |
1837 - 1857 |
Identification of non-linear stochastic systems by state dependent parameter estimation Young PC, McKenna P, Bruun J |
1858 - 1864 |
Multilayer dynamic neural networks for non-linear system on-line identification Yu W, Poznyak AS, Li XO |