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Numerical comparison of two methods of designing insensitive controllers

Numerical comparison of two methods of designing insensitive controllers

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A computationally etffcient method of designing insensitive controllers, using cost-function sensitivity, is proposed and compared on a simple, but testing, example with a method, which considers plant parameters as random variables.

References

    1. 1)
      • C.S. Berger . Numeriacal method for the design of insentive control systems. Proc. IEE. , 10 , 1283 - 1291
    2. 2)
      • P. Stavroulakis , P.E. Sarachiik . Low sensitivity feedback gains for deterministic and stochastic control systems. Int J. Control , 15 - 31
    3. 3)
      • D. Graupe . Optimal linear control subject to sensitivity constraints. IEEE Tans. , 593 - 594
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