Non-linear dynamic system modelling in noisy environment using multiple model approach

2000 ◽  
Author(s):  
S. Simani ◽  
C. Fantuzzi ◽  
R. Rovatti ◽  
S. Beghelli
Keyword(s):  
Dynamic System ◽  
Linear Dynamic System ◽  
System Modelling ◽  
Multiple Model ◽  
Noisy Environment ◽  
Linear Dynamic ◽  
Non Linear ◽  
Model Approach

Seismic isolator test rig control using high-fidelity non-linear dynamic system modelling

Meccanica ◽  
2013 ◽  
Vol 49 (1) ◽  
pp. 169-179 ◽  
Author(s):  
Stefano Pagano ◽  
Michele Russo ◽  
Salvatore Strano ◽  
Mario Terzo
Keyword(s):  
Dynamic System ◽  
Linear Dynamic System ◽  
System Modelling ◽  
High Fidelity ◽  
Test Rig ◽  
Linear Dynamic ◽  
Seismic Isolator ◽  
Non Linear

Non-linear dynamic system modelling based on modified Volterra series approaches

Measurement ◽  
2003 ◽  
Vol 33 (1) ◽  
pp. 9-21 ◽  
Author(s):  
D Mirri ◽  
G Iuculano ◽  
P.A Traverso ◽  
G Pasini ◽  
F Filicori
Keyword(s):  
Dynamic System ◽  
Volterra Series ◽  
Linear Dynamic System ◽  
System Modelling ◽  
Linear Dynamic ◽  
Non Linear

Non-linear dynamic system identification: A multi-model approach

1999 ◽  
Vol 72 (7-8) ◽  
pp. 591-604 ◽  
Author(s):  
Anass Boukhris ◽  
Gilles Mourot ◽  
Jose Ragot
Keyword(s):  
System Identification ◽  
Dynamic System ◽  
Linear Dynamic System ◽  
Linear Dynamic ◽  
Non Linear ◽  
Model Approach

Automated System Design for Classification of Chronic Lung Viruses using Non-Linear Dynamic System Features and K-Nearest Neighbour

2021 ◽  
Author(s):  
Misha Urooj Khan ◽  
Ayesha Farman ◽  
Asad Ur Rehman ◽  
Nida Israr ◽  
Muhammad Zulqarnain Haider Ali ◽  
...  
Keyword(s):  
Dynamic System ◽  
System Design ◽  
Linear Dynamic System ◽  
Automated System ◽  
Nearest Neighbour ◽  
Linear Dynamic ◽  
Non Linear

Observer-based digital tracker for the manoeuvring target described by the continuous-time non-linear dynamic system

2008 ◽  
Vol 222 (2) ◽  
pp. 213-228 ◽  
Author(s):  
J S H Tsai ◽  
C T Wang ◽  
S M Guo ◽  
L S Shieh ◽  
C R Liu
Keyword(s):  
Dynamic System ◽  
Continuous Time ◽  
High Gain ◽  
Linear Dynamic System ◽  
Practical Implementation ◽  
Control Effort ◽  
Linear Dynamic ◽  
Guidance Law ◽  
Non Linear ◽  
Non Linear System

The current paper develops an effective and robust digital guidance law to intercept the highly manoeuvring target described by the continuous-time non-linear dynamic system. First, an optimal linearization model for the non-linear system is constructed at the operating point of interest on the trajectory. Then, high-gain optimal linear quadratic analogue tracker and observer are designed by utilizing the optimal linearization model and the optimal control theory, so that the effect of the unpredictable acceleration of the target can be substantially attenuated and even can be disregarded. For reducing the control effort without raising the prescribed interception time, and for practical implementation of the designed tracker, the prediction-based digital redesign method is utilized to obtain relatively low-gain digital tracker and observer from the well-designed high-gain optimal analogue tracker and observer. With the aid of the global positioning system, the proposed observer-based digital tracker is able to successfully intercept a highly manoeuvring target without the constraint on initial trajectory, and can effectively deal with various barriers during the interception. Illustrative examples are given to demonstrate the effectiveness and robustness of the proposed digital guidance law.

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