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- W2319692805 abstract "As the flatness control system is a multi-variable control system, the key issue for high-precision flatness is the determination of the optimal adjustments of flatness actuators. In order to determine these the first step is the establishment of a multi-variable control model in the flatness control process, by which the actual flatness control problem has been reduced to a non-linear optimisation problem with box-constraints. Around this optimisation problem, characteristics and applicability of current optimisation algorithms were analysed. Based on the coordinate descent method, a new multi-variable optimisation algorithm with global convergence was proposed. In the algorithm, the problem was transformed into a series of univariate optimisations which could be solved by sequentially searching along coordinate directions. In order to make the objective function decrease rapidly, and ensure that each iteration are carried out within the feasible region, the accelerating step method is adopted to determi..." @default.
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- W2319692805 date "2016-03-21" @default.
- W2319692805 modified "2023-09-22" @default.
- W2319692805 title "Optimal multi-variable flatness control for a cold rolling mill based on a box-constraint optimisation algorithm" @default.
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- W2319692805 doi "https://doi.org/10.1080/03019233.2015.1104073" @default.
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