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Changes over time in the relative economic performance of technologies, the likelihood that people will use them, and the environmental impacts associated with their use, are being tackled with a number of techniques including agent based modelling, behavioural models, and system dynamics, among others [3, 4, 25, 45, 46].
The objective of this paper is to analyze and design SETZ logistics hub models and system framework for linking manufacturers.
Having thus obtained training data we model the relationship between sensory readings and the motor commands of the robot using ARMAX/NARMAX models and system identification techniques.
Systems engineering models and system assessment tools, both of which enrich the analytical framework of waste management, were designed specifically to handle particular types of problems.
As we move forward to integrate system descriptive models and system analytical models, there is a key opportunity to integrate other viewpoints into the system model.
The models required to support the improvement design of a complex system must include both preference models and system behavioral models.
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protocols, consistency models and systems.
It also reflects their lack of faith in the models and systems that they rely on to evaluate risk.
The goal is to spur the building of efficient models and systems for small savings accounts.
This master's report concludes with a summary of future work for the algorithms, models and systems presented.
It treats an original approach to on-line adaptation of rule-based models and systems described by such models.
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