Designing Structure-Specified Mixed H2/H Optimal Controllers Using an Intelligent Genetic Algorithm IGA

Shinn Jang Ho, Shinn-Ying Ho, Ming Hao Hung, Li Sun Shu, Hui Ling Huang

Research output: Contribution to journalArticlepeer-review

52 Scopus citations


This brief proposes an efficient method for designing accurate structure-specified mixed H2/Hoptimal controllers for systems with uncertainties and disturbance using an intelligent genetic algorithm (IGA). The newly-developed IGA with intelligent crossover based on orthogonal experimental design (OED) is efficient for solving intractable engineering problems with lots of design parameters. The IGA-based method without using prior domain knowledge can efficiently solve design problems of multi-input-multi-output (MIMO) optimal control systems, which is very suitable for practical engineering designs. High performance and validity of the proposed method are evaluated by two test problems, a MIMO distillation column model and a MIMO super maneuverable F18/HARV fighter aircraft system. It is shown empirically that the IGA-based method has good tracking performance, robust stability and disturbance attenuation for both controllers, compared with the existing methods.

Original languageEnglish
Pages (from-to)1119-1124
Number of pages6
JournalIEEE Transactions on Control Systems Technology
Issue number6
StatePublished - 1 Jan 2005


  • Intelligent genetic algorithm (IGA)
  • mixed H2/H∞ optimal control
  • orthogonal experimental design (OED)

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