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- W1976590516 abstract "The task of diagnosing poorly performing controllers is a challenging one. Process design, controller design, changing process conditions are amongst the common causes of poor performance. In this work, we quantify the effect of factors such as constraints, modelling uncertainty, disturbance uncertainty, process nonlinearity on the achieved closed loop performance. It is important to know the contribution of these factors on the achieved performance in order to attempt diagnosis. The results derived are applicable to the case of deterministic as well as stochastic inputs. Illustrative examples, both SISO and MIMO, are used to demonstrate the key results." @default.
- W1976590516 created "2016-06-24" @default.
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- W1976590516 date "2002-04-01" @default.
- W1976590516 modified "2023-10-16" @default.
- W1976590516 title "Issues in performance diagnostics of model-based controllers" @default.
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- W1976590516 doi "https://doi.org/10.1016/s0959-1524(01)00043-9" @default.
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