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Proportional, integral and differential are defined as a neuron respectively, combined with neural network in this paper. PID neural network (PIDNN) is built and the structure of PIDNN is also simple. Using the PID neural network, the strong coupled time-varying system can be decoupled and controlled easily. The doubly fed hydro-generator system is a novel(More)
An algorithm for making consistent 2-D to 3-D geometric inference in polyhedral world using one perspective line drawing is described. Hypotheses are made on the internal angles of visible faces. The normals to the face planes are then determined. Valid normals lead to the reconstruction of the 3-D polyhedral world up to a scale factor. The performance of(More)
A multivariate self-adapting decoupling control method based on CMAC and PID was proposed in this paper. The control strategy utilizes PID controller and CMAC to combine a composite controller. Using the composite controller, the strong coupled time-varying system can be decoupled and controlled easily. The doubly fed hydro-generator system is a novel type(More)
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