把对有限维离散化系统混沌控制的方法应用于高维微分动力系统，讨论了双光子光学双稳系统中的混沌控制。
Applying the method of controlling chaos presented by documents to a high dimensional differential dynamical system, the control of two photon optical bistable system's chaos is discussed.
有效的离散化可以显著地提高系统对样本的聚类能力，增强系统对数据噪音的鲁棒性。
Effective data discretization can obviously improve system ability on clustering instances, and can also make systems more robust to data noise.
这种包含系统噪声的离散状态空间模型的建立，为网络化控制系统的准确辨识和有效控制奠定了基础。
The building of discrete state-space models including system noise provides a basis for the exact identification and effective control.
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