应用神经网络对未建模型的非线性随机系统进行控制。
Use Neural Network to control unfounded model nonlinear random system.
鉴于含有加性噪声的指数模型描述了一类重要的非线性随机系统。
The exponential models with additive noise describe a class of important nonlinear stochastic systems.
非线性随机系统的最优控制，采用基于性能势的随机优化数值算法。
The optimal control of nonlinear random system adopted random optimal numerical algorithm based on performance potential.
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