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- W4524637 abstract "The Mixed Logical Dynamical (MLD) formalism has proved to be an efficient modelling framework for hybrid systems described by dynamics, logic and constraints. Furthermore, it allows formulating and solving practical problems such as control and state estimation, using for example predictive strategies. However, its main drawback remains the computation load due to the complexity of the MIQPs to be solved. To overcome this problem, the presented paper proposes an alternative optimization technique based on genetic algorithms. The genetic algorithms provide suboptimal solutions in reasonable time even with a long prediction horizon. For this purpose, a modified MLD form with only discrete control actions is derived that results in a structure adequate for quadratic (0,1)-problems formalism. The transformation of continuous inputs is based on fuzzy intelligent techniques including an adaptation of the variables sets for a better precision. This approach considerably reduces the computation time, thus enabling real time implementation even with small sampling time. This strategy is applied in simulation to the control of a three tanks benchmark." @default.
- W4524637 created "2016-06-24" @default.
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- W4524637 date "2004-03-01" @default.
- W4524637 modified "2023-09-23" @default.
- W4524637 title "Genetic Algorithm Based Model Predictive Control for Hybrid Sytems Under a Modified MLD Form" @default.
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