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On the basis of the proposal of a measure of robustness, this paper presents a robustness generalized distance function (RGDF) approach for multiresponse robust optimization, which modifies the generalized distance function (GDF) via a correction matrix.
Robust design optimization (RDO) is a field of optimization in which certain measure of robustness is sought against uncertainty.
On this reading, having an ability seems to demand a measure of robustness and control that is not underwritten by one instance of success.
Many games in this genre also make use of chatbot-like input-output response patterns in order to gain a measure of robustness for unanticipated user inputs.
A further important mechanism is replication, which is not only a measure of robustness; the algorithm also exploits replication by placing replicas on the transport path.
Quantitative results are derived which serve as a measure of robustness for indirect feedforward control when uncertainties are presented in the load transfer functions.
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In a bid to account for the scatter in design, two qualitative measures of robustness, called Robust Indices, have been derived so that effective comparisons can be made.
Norm bounded uncertainties and disturbances are briefly discussed to investigate measures of robustness.
The controller redesign is performed minimizing a frequency domain criterion based on gain and phase margins that are classical measures of robustness in addition to the crossover frequency.
Some measures of robustness of the closed-loop system are discussed and a numerical method is proposed such that it aims to minimize one measure of the conditioning of the closed-loop system.
The measures of robustness and noise filtering ability of a synchronized TdCCN have potential application to the designs of neuron transmitters, on-time mass production of biochemical molecules, and synthetic biology.
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