Environment simulation for scenario perception models

The evolution of automation systems has reached a point where the increasing complexity requires new mechanisms to keep control of design and operation. New automation systems models have to be designed, which are capable to perceive and react based on global situations. Perception requires scenario...

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Bibliographic Details
Main Authors: Roesener, Ch, Hareter, H., Burgstaller, W., Pratl, G.
Format: Conference Proceeding
Language:English
Subjects:
Actuators
Applied sciences
Automatic control
Computational modeling
Control systems
Data processing
Design automation
Exact sciences and technology
Humans
Information, signal and communications theory
Production
Scalability
Sensor systems
Signal and communications theory
Signal representation. Spectral analysis
Signal, noise
Telecommunications and information theory
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Summary:The evolution of automation systems has reached a point where the increasing complexity requires new mechanisms to keep control of design and operation. New automation systems models have to be designed, which are capable to perceive and react based on global situations. Perception requires scenario recognition, which again is based on the continuous input of many different types of sensors; in future all control systems have to cope with massive data quantities that are collected from the environment. A stable system that reliably perceives situations relies on the diversity and amount of sensor inputs. The approach discussed in this paper is the simulation of big amounts of sensors and actuators in order to verify this scalability and to evaluate and verify models based on scenario perception and recognition.
DOI:10.1109/WFCS.2004.1377744