Exact(3)
Moreover, our approach for worst case norm evaluation is compared with other approaches available in literature.
The RCSA is used for analysis, through the worst case norm computation for a given provided controller.
This methodology consists in defining the worst case norm computation as an implicit optimization problem with a special structure.
Similar(57)
For the latter, a novel methodology is proposed to compute the worst case norms within the polytope of matrices.
This performance is often referred to as the worst-case norm of convolution systems under such disturbances.
This conservatism usually results from overapproximating the influence of uncertain parameters during offline design stages in terms of worst-case (norm) bounds.
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.
A novel piecewise dynamic output feedback control design is presented, which reduces the worst case peak output due to quantization errors and guarantees an H∞-norm bound constraint.
The design interest is placed on minimizing the worst case or stochastic average performance of this model matching system over all possible switchings with an H2 norm as the performance criterion.
Worst case?
That's the worst case".
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