Event driven manufacturing systems as time domain control systems

2006 ◽  
Author(s):  
B.J.P. Roset ◽  
H. Nijmeijer ◽  
J.A.W.M. van Eekelen ◽  
E. Lefeber ◽  
J.E. Rooda
Keyword(s):  
Control Systems ◽  
Time Domain ◽  
Manufacturing Systems ◽  
Event Driven

Quantitative Models for Complex Physical Systems

2014 ◽  
Vol 1061-1062 ◽  
pp. 1144-1147
Author(s):  
Jun Fu ◽  
Jin Zhao Wu ◽  
Ning Zhou ◽  
Hong Yan Tan
Keyword(s):  
Quantitative Analysis ◽  
State Space ◽  
Control Systems ◽  
Chemical Reaction ◽  
Metric Space ◽  
Manufacturing Systems ◽  
Quantitative Model ◽  
Hybrid Automata ◽  
Physical Systems ◽  
The Difference

We present a quantitative model, called metric hybrid automata, for quantifying the behaviors of complex physical systems, such as chemical reaction control systems, manufacturing systems etc. Due to the introduction of a metric, the state space of hybrid automata forms a metric space, in which the difference of states can be quantified. Furthermore, in order to reveal the distance of system behaviors, we construct the simulation distance and the bisimulation distance, which quantify the similarity of system behaviors. Our model provides the basis for quantitative analysis for those complex physical systems.

‘New Lamps for Old!’ A Method to Rejuvenate Old Robots through the Use of a Simple Set of Microcontroller-Based Control Boards to Replace Outdated Control Systems

2005 ◽  
Vol 33 (4) ◽  
pp. 339-348 ◽  
Author(s):  
P. Brunn ◽  
A. W. Labib
Keyword(s):  
Control System ◽  
Control Systems ◽  
Manufacturing Systems ◽  
Low Cost ◽  
Welding Robot ◽  
Design Development ◽  
Simple Set

The paper describes the design, development, testing and use of a microcontroller- and PC-based control system which was used to repair and enhance an ASEA IRB6 welding robot in the authors' laboratory. The principles described could be applied to any robot of similar age and to provide a low-cost route to revitalise any working robot hardware that is limited by an outdated control system. The proposed approach addresses a problem within many manufacturing systems operating in industry.

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