Model reduction for classes of uncertain, multi-dimensional, parameter varying and non-linear systems

2007 ◽  
pp. 269-280 ◽  
Author(s):  
K. Glover ◽  
P. J. Goddard ◽  
Y. -C. Chu
Keyword(s):  
Model Reduction ◽  
Linear Systems ◽  
Dimensional Parameter ◽  
Non Linear ◽  
Non Linear Systems ◽  
Parameter Varying

Holomorphically projective mappings between generalized m-parabolic Kähler manifolds

Filomat ◽  
2017 ◽  
Vol 31 (15) ◽  
pp. 4865-4873 ◽  
Author(s):  
Milos Petrovic
Keyword(s):  
Linear Systems ◽  
Kähler Manifolds ◽  
Kahler Manifolds ◽  
Covariant Derivatives ◽  
Linearly Independent ◽  
Non Linear ◽  
Non Linear Systems ◽  
Curvature Tensors ◽  
Derivatives Of

Generalized m-parabolic K?hler manifolds are defined and holomorphically projective mappings between such manifolds have been considered. Two non-linear systems of PDE?s in covariant derivatives of the first and second kind for the existence of such mappings are given. Also, relations between five linearly independent curvature tensors of generalized m-parabolic K?hler manifolds with respect to these mappings are examined.

Distributed track‐to‐track fusion for non‐linear systems with Gaussian mixture noise

2019 ◽  
Vol 13 (5) ◽  
pp. 740-749 ◽  
Author(s):  
Kelin Lu ◽  
Changyin Sun ◽  
Qien Fu ◽  
Qian Zhu
Keyword(s):  
Linear Systems ◽  
Gaussian Mixture ◽  
Track Fusion ◽  
Non Linear ◽  
Non Linear Systems

The construction of homo- and heteroclinic orbits in non-linear systems

2005 ◽  
Vol 69 (1) ◽  
pp. 39-48 ◽  
Author(s):  
G.V. Manucharyan ◽  
Yu.V. Mikhlin
Keyword(s):  
Linear Systems ◽  
Heteroclinic Orbits ◽  
Non Linear ◽  
Non Linear Systems

Parameter estimation algorithms for bilinear and non-linear systems using Walsh functions—recursive approach

1992 ◽  
Vol 23 (2) ◽  
pp. 283-290 ◽  
Author(s):  
A. N. JHA ◽  
A. S. SAXENA ◽  
V. S. RAJAMANI
Keyword(s):  
Parameter Estimation ◽  
Linear Systems ◽  
Walsh Functions ◽  
Estimation Algorithms ◽  
Non Linear ◽  
Non Linear Systems
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