Global stabilisation of complicated feedforward non-linear systems by constructing state-dependent saturation levels

2016 ◽  
Vol 10 (16) ◽  
pp. 2071-2082 ◽  
Author(s):  
Huawen Ye
Keyword(s):  
Linear Systems ◽  
State Dependent ◽  
Non Linear ◽  
Non Linear Systems

Identification of non-linear systems using general state-dependent models

1986 ◽  
Vol 23 (A) ◽  
pp. 257-272
Author(s):  
M. B. Priestley ◽  
S. M. Heravi
Keyword(s):  
Linear Systems ◽  
Linear Time ◽  
Numerical Study ◽  
Time Series Models ◽  
General State ◽  
Input And Output ◽  
State Dependent ◽  
Type Algorithm ◽  
Non Linear ◽  
Non Linear Systems

This paper describes an extension of the SDM scheme introduced by Priestley (1980) to the problem of the identification of non-linear systems using only input/output records. It is shown that, under quite general assumptions on the structure of the system, it is possible to identify a non-linear relationship between the input and output processes via a modified version of the Kalman-type algorithm previously applied to the study of non-linear time series models. The paper includes a numerical study of data generated from various types of non-linear systems.

State-dependent intermittent control of non-linear systems

2017 ◽  
Vol 11 (12) ◽  
pp. 1884-1893 ◽  
Author(s):  
Qingzhi Wang ◽  
Yong He ◽  
Guanzheng Tan ◽  
Min Wu
Keyword(s):  
Linear Systems ◽  
Intermittent Control ◽  
State Dependent ◽  
Non Linear ◽  
Non Linear Systems

Predictor control for multi-input non-linear systems with time- and state-dependent input delays

2017 ◽  
Vol 11 (4) ◽  
pp. 495-503 ◽  
Author(s):  
Xiushan Cai ◽  
Linling Liao ◽  
Junfeng Zhang ◽  
Yanhong Liu
Keyword(s):  
Linear Systems ◽  
State Dependent ◽  
Non Linear ◽  
Non Linear Systems ◽  
Input Delays

Identification of non-linear systems using general state-dependent models

1986 ◽  
Vol 23 (A) ◽  
pp. 257-272 ◽  
Author(s):  
M. B. Priestley ◽  
S. M. Heravi
Keyword(s):  
Linear Systems ◽  
Linear Time ◽  
Numerical Study ◽  
Time Series Models ◽  
General State ◽  
Input And Output ◽  
State Dependent ◽  
Type Algorithm ◽  
Non Linear ◽  
Non Linear Systems

This paper describes an extension of the SDM scheme introduced by Priestley (1980) to the problem of the identification of non-linear systems using only input/output records. It is shown that, under quite general assumptions on the structure of the system, it is possible to identify a non-linear relationship between the input and output processes via a modified version of the Kalman-type algorithm previously applied to the study of non-linear time series models. The paper includes a numerical study of data generated from various types of non-linear systems.

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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