论文信息 - A constrained genetic algorithm for decentralized control system structure selection and optimization

A constrained genetic algorithm for decentralized control system structure selection and optimization

A genetic algorithm is applied to the automatic synthesis of decentralized MIMO control systems incorporating both feedback and feedforward components. The design approach relies on a robust performance objective formulation, which defines the limiting trade-off between performances of the output channels. The method is demonstrated on the synthesis of typical MIMO control systems.

D. R. Lewin | A. Parag

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