Research on active control of architecture construction based on instantaneous optimal control neural network

The neural network training algorithm is improved, which is based on instantaneous optimal control method, taking into consideration of the energy of earthquake. The training object of the algorithm is minimization of the cost function in optimal control, variations of the weight values are obtained by the steepest descend gradient method and moreover an approximate treatment is made on the sensitivity matrix evaluation. The method can overcome the difficulties of obtaining the training input/output samples for neuro-controller in neural network control. The algorithm can be used in multiple input multiple output (MIMO) system, and the simulation of active control of a three-story frame structure subjected to ground excitation shows that the proposed method is effective.