Discrete-time Robust Pole-placement Design through Global Optimization
نویسندگان
چکیده
A robust pole placement controller design method is presented for discrete-time systems with parametric model uncertainties contained within known bounds. The design methodology is based on the minimization of a cost function by using genetic algorithms. It allows for a thorough assessment of robust performance in addition to robust stability. The effectiveness of this technique is shown for a real-time experimental laboratory-scale helicopter system. Copyright c © 2002 IFAC
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