Abstract
These years, for some neural network (NN) controller based time critical systems, temporal performance is always required to be evaluated. In order to model complex time critical systems, timed hierarchical object-oriented Petri net (TOPN) has been proposed. On the base of TOPN method, this paper has proposed worst case execution time (WCET) calculation method called time accumulation effect (TAE) calculation, whose goal is to evaluate the performance of TOPN models such as NN based robot controller systems etc al. TAE method can be used to calculate the worst case execution time interval directly on the base of integral linear programming (ILP) method. The use and benefits of TAE calculation for TOPN models have also been illustrated by analyzing one robot controller system model.
This work is jointly supported by National Natural Science Foundation of China (Grant No: 60405011, 60575057) and the China Postdoctoral Foundation for China Postdoctoral Science Fund (Grant No: 20040350078).
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Xu, H., Jia, P. (2008). TOPN Based Temporal Performance Evaluation Method of Neural Network Based Robot Controller. In: Sun, F., Zhang, J., Tan, Y., Cao, J., Yu, W. (eds) Advances in Neural Networks - ISNN 2008. ISNN 2008. Lecture Notes in Computer Science, vol 5264. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87734-9_23
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DOI: https://doi.org/10.1007/978-3-540-87734-9_23
Publisher Name: Springer, Berlin, Heidelberg
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