Support vector machine (SVM) is a brand-new machine learning technique based on statistical learning theory. It is an ideal facility for modeling of various nonlinear systems.
支持向量机是一种基于统计学习理论的新型机器学习方法，它可以被广泛地用于非线性系统建模。
The displacement connection, the velocity connection and the acceleration connection are introduced to expand the theory of connection (TC) into dynamics modeling of nonlinear mechanical systems.
引入了位移联结、速度联结和加速度联结，从而使联结理论适用于非线性机械系统的动力学建模。
Based on observer method, an algorithm of actuator fault detection and diagnosis is presented for a class of nonlinear control systems with system modeling errors and sensor modeling uncertainties.
针对一类具有系统建模误差以及含传感器模型不确定项的非线性控制系统，本文提出了一种用于执行器故障检测与诊断的观测器方法。
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