Mixed reduced-order H2/H∞ controllers based on improved adaptive genetic algorithm

The problem of mixed reduced-order H₂/H_infin controllers design is discussed that a general approach is proposed to design mixed reduced-order H₂/H_infin controllers by genetic algorithms. The mixed reduced-order H₂/H_infin controllers are designed which have robustness and better system performance through H_infin controllers were H₂ optimization by GA. GA is used twice in reduced-order H_infin control and H₂ optimization. The code is float, the selection operator is rank-based fitness assignment and elitist model, the crossover operator is real valued recombination, the mutation operator is real mutation, the fitness have penalty constrain. The simulation results show that mixed reduced-order H₂/H_infin controllers have not only better H_infin performance but also better H₂ performance.