A new non-fragile H∞ proportional—integral filtered-error adaptive observer for a class of non-linear systems and its application to synchronous generators

2011 ◽  
Vol 225 (1) ◽  
pp. 99-112 ◽  
Author(s):  
M Pourgholi ◽  
V J Majd
Keyword(s):  
Linear Systems ◽  
Adaptive Observer ◽  
Synchronous Generators ◽  
Proportional Integral ◽  
Non Linear ◽  
Non Linear Systems ◽  
Filtered Error

Linearization techniques in fault diagnosis of non-linear systems

2000 ◽  
Vol 214 (4) ◽  
pp. 241-245 ◽  
Author(s):  
W Lin ◽  
H Wang
Keyword(s):  
Fault Diagnosis ◽  
Linear Systems ◽  
Exponential Convergence ◽  
Adaptive Observer ◽  
Observation Error ◽  
Actuator Failures ◽  
First Approximation ◽  
Non Linear ◽  
Non Linear Systems ◽  
Linearization Techniques

In this paper it is shown how the well-known linearization technique can be used to solve the problem of fault diagnosis, for non-linear systems subject to actuator failures. An exponential adaptive observer is designed on the basis of the first approximation approach, achieving locally exponential convergence of observation error as well as unbiased fault diagnosis. A link between linear fault diagnosis and its non-linear counterpart is explored. The effectiveness of the proposed non-linear fault diagnosis scheme is illustrated through a simulation example.

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
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