Control engineering problems are generally multi-objective problems;meaning that there are several specifications and requirements that must be fulfilled. A traditional approach for calculating a solution with the des...
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Control engineering problems are generally multi-objective problems;meaning that there are several specifications and requirements that must be fulfilled. A traditional approach for calculating a solution with the desired trade-off is to define an optimisation statement. multi-objectiveoptimisation techniques deal with this problem from a particular perspective and search for a set of potentially preferable solutions;the designer may then analyse the trade-offs among them, and select the best solution according to his/her preferences. In this paper, this designprocedure based on evolutionary multiobjectiveoptimisation (EMO) is presented and significant applications on controller tuning are discussed. Throughout this paper it is noticeable that EMO research has been developing towards different optimisation statements, but these statements are not commonly used in controller tuning. Gaps between EMO research and EMO applications on controller tuning are therefore detected and suggested as potential trends for research. (C) 2014 Elsevier Ltd. All rights reserved.
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