Optimal Input Design for Identification of Non-linear Systems: Learning From the Linear Case

2007 ◽  
Author(s):  
Hakan Hjalmarsson ◽  
Jonas Martensson
Keyword(s):  
Linear Systems ◽  
Linear Case ◽  
Optimal Input ◽  
Input Design ◽  
Non Linear ◽  
Systems Learning ◽  
Optimal Input Design ◽  
Non Linear Systems

Optimal input design for uncertain max-plus linear systems

2018 ◽  
Vol 28 (16) ◽  
pp. 4816-4830 ◽  
Author(s):  
Cailu Wang ◽  
Yuegang Tao ◽  
Huaicheng Yan
Keyword(s):  
Linear Systems ◽  
Optimal Input ◽  
Input Design ◽  
Optimal Input Design

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

Optimal Input Design Based on Global Identification

1994 ◽  
Vol 27 (8) ◽  
pp. 1459-1464
Author(s):  
A.C. van der Klauw ◽  
G.J.P. De Reuver ◽  
P.P.J. van den Bosch
Keyword(s):  
Optimal Input ◽  
Input Design ◽  
Global Identification ◽  
Optimal Input Design
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