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In this paper, we propose a practical and systematic approach to the control design method for MIMO systems based on flatness theory. The proposed approach focuses on the emergent ability of genetic programming and the decoupling ability of Descusse & Moog's algorithm. The former could generate nonlinear functions as the flat outputs, and the latter could construct dynamic controllers through...
In this paper, an intelligent automatic landing system using fuzzy neural networks and genetic algorithms is developed to improve the performance of the conventional automatic landing systems. This study uses a functional fuzzy neural network as the controller. Control gains are selected by a combination method of a nonlinear control design and genetic algorithm. The simulation results are described...
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