From the method of predictive linear program based on the method GM (1, 1), we build the center approach grey GM (1, 1) model. Thus we improve the grey predictive linear program.

根据基于GM(1,1)模型的预测型线性规划思想方法，建立了中心逼近式GM(1,1)模型，从而给出对灰色预测型线性规划的改进。

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In this paper, the structure of optimal policies for periodic Markov decision model is discussed and the linear program algorithms to solve it is given.

讨论了折扣周期马氏决策模型的最优策略的结构，并给出了其线性规划算法。

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Since the conclusion part is linear, the T_S fuzzy model can be treated as a linear time_varying system, the nonlinear program in NMPC turns into a linear quadratic problem that can be easily solved.

由于T_S模糊模型每条规则的结论部分是一个线性模型，因此整个模糊模型可以看作一个线性时变系统，从而将模糊预测控制器中的非线性优化问题转化为一个线性二次寻优问题，以方便求解。

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