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Global optimized algorithm for weighted function of multi-model system

There is mismatch phenomenon between local model and weighted function in multi-model system. In order to overcome this problem, an online optimization algorithm is presented by the enlightenment of the basic properties of multimodel system. Firstly, based on the global equations and the current input/output data of multi-model system, the optimized algorithm is deduced by least square algorithm. Then, the corresponding convergence analysis is given. In the end, a simulation experiment shows the effectiveness of the proposed algorithm.