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Topics in: dynamical systems theory; practical overview of stochastic differential equations; model reduction; and tradeoffs among performance, complexity, and robustness.
The latter is employed to demonstrate model reduction and process optimization.
The influence of the model reduction and model update on the detection accuracy is studied.
The results are useful to VLSI interconnect model reduction and design, and to control systems with a distributed transmission line.
Future applications to coupling problems, model reduction and modal synthesis are briefly presented at the end of the text.
The information contained in the sensitivity trajectories is useful for parameter estimation, optimization, model reduction and experimental design.
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Therefore, the aim of this paper will be to use GA to solve H2 and H∞ norm model reduction problems, and help obtain globally optimized nominal models.
The upper level coordinator to deal with the model reduction error and makes the supervisory decision to the lower level.
Specifically, its versatility and virtues will be pointed out through a number of examples in model reduction, robust and optimal control.
The section "Results and discussion" empirically compares our technique combined with traditional planners against traditional model reduction algorithms and planners that do not employ model reduction.
We also contribute with an empirical comparison among: the state-of-the-art model reduction algorithms and MDP solvers (that do not perform model reduction).
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