针对实际工业生产过程中的非线性、时变不确定性，提出了一种基于线性化误差模型的自适应控制系统。
In order to overcome the nonlinearity and time-varying uncertainty of actual industrial processes, an adaptive control system based on linearization error model is proposed.
以自动化监测数据为评价依据，对渗透安全采用了确定性评价模型和概率评价模型，对滑坡采用了突变模型。
Data automatically measured is used to build the evaluating models, including a deterministic model and a reliability model for seepage, and a cusp catastrophic model for slope failure.
针对网络化控制系统(ncs)具有不确定性的传输迟延与数据丢包特性，设计了一个分布式的网络化控制系统模型。
With regards to the characteristics of uncertain transmission delay and packet dropout of networked control system (NCS), a distributed model is proposed in this paper.
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