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This paper presents a quantum-based algorithm for evolving artificial neural networks (ANNs). The aim is to design an ANN with few connections and high classification performance by simultaneously optimizing the network structure and the connection weights. Unlike most previous studies, the proposed algorithm uses quantum bit representation to codify the(More)
  • Gwo-Ruey Yu
  • 2007
This paper presents the nonlinear robust-optimal control for the attitudes of a two-degree-of-freedom (2DOF) helicopter. First, a Takagi-Sugeno (T-S) fuzzy model is employed to approximate the nonlinear 2DOF helicopter. The LMI-based relaxed stability conditions are applied to design the nonlinear fuzzy controller. Using the method of parallel distributed(More)