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GA Adjustment of Mulithorizon Decision Table

Genetic algorithm based procedure for the multihorizon fuzzy controler parameter adjusting is proposed to solve dynamic discrete-time optimal control problem. Fuzzy controler is applied to the second order process and ITSE performance measure is used. Mulithorizon decision table is used, i.e. table with discrete inputts from n past time process outputs. It is found that the multihorizon table is superior to conventional two-horizon table.

GA Adjustment of Mulithorizon Decision Table

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