Exact(18)
Previously, robustness has been evaluated based upon performance, particularly the worst case performance, then compared to the worst case performance of a non-robust model such as the expected value-variance model.
Furthermore, PPP is the maximum entropy point process and it can be seen as the worst case performance.
This upper bound on the worst case performance is computed via an LMI-based optimization problem and is deduced via the separation of graph framework.
The control objective can be formulated as a kind of robust optimization: optimizing the worst case performance in the presence of the interval uncertainties.
Our controller validation criterion computes an upper bound for the worst case performance, measured in terms of the H∞-norm of a weighted closed loop transfer matrix, achieved by a given controller over all plants in such uncertainty sets.
We compute a bound on the worst case performance of this heuristic and demonstrate empirically that this procedure produces good quality solutions while substantially reducing computation time for problem instances from the Kiruna mine.
Similar(42)
The worst-case performance of the WSNs was analysed [16].
This is the worst-case performance of the proposed scheme.
First, we derive an upper bound of the worst-case performance.
The worst-case performance of the proposed heuristic is also investigated.
The uncertainty of the covariance matrix is considered to optimize the worst-case performance.
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