Uncertainty modeling and robust stability analysis of a synchrotron electron beam stabilisation control system

2012 ◽  
Author(s):  
Sandira Gayadeen ◽  
Stephen Duncan
Keyword(s):  
Electron Beam ◽  
Control System ◽  
Stability Analysis ◽  
Robust Stability ◽  
Uncertainty Modeling ◽  
Robust Stability Analysis

On robust stability analysis of a control system using laguerre series

Automatica ◽  
1992 ◽  
Vol 28 (4) ◽  
pp. 815-818 ◽  
Author(s):  
Osvaldo Agamennoni ◽  
Eduardo Paolini ◽  
Alfredo Desages
Keyword(s):  
Control System ◽  
Stability Analysis ◽  
Robust Stability ◽  
Laguerre Series ◽  
Robust Stability Analysis

Robust stability analysis of the hot-dip galvanising control system

2007 ◽  
Vol 1 (2/3) ◽  
pp. 220 ◽  
Author(s):  
Gerardo Romero ◽  
Luis Garcia ◽  
Irma Perez ◽  
Rene Dominguez ◽  
Marco A. Panduro ◽  
...  
Keyword(s):  
Control System ◽  
Stability Analysis ◽  
Robust Stability ◽  
Robust Stability Analysis

Back-Upper Control of a Car-Like Robot Having a Trailer via Model-Based Fuzzy Control

1995 ◽  
Vol 7 (1) ◽  
pp. 57-62
Author(s):  
Kazuo Tanaka ◽  
Keyword(s):  
Control System ◽  
Stability Analysis ◽  
Fuzzy Control ◽  
Robust Stability ◽  
Fuzzy Controller ◽  
Controller Design ◽  
Experimental Results ◽  
The Real ◽  
Robust Stability Analysis ◽  
Non Linear

In previous papers, 1,2) we designed a control system for backing up a computer-simulated, car-like robot having a trailer which is non-linear and unstable. Furthermore, we have theoretically shown 1,2) that the designed fuzzy controller smoothly achieves backing up control of this robot from all initial positions. In this paper, we realize backing up control of a real car-like robot having a trailer. The design is based on a technique of modelbased fuzzy control using a robust stability analysis and the concept of parallel distributed compensation. It is shown that the concept of parallel distributed compensation is simple and easy. Stability analysis and modelbased fuzzy controller design are described in terms of Lyapunov’s approach. The usefulness of the modelbased fuzzy controller design is then checked in the simulation. Finally, the experimental results illustrate that the designed fuzzy controller effectively realizes backing up control of the real car-like robot having a trailer.

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