仿真研究表明，SVM具有优良的逆模型辨识能力，基于模糊控制补偿的支持向量机逆控制系统的动态性能好、跟踪精度高、鲁棒稳定性强。
Simulations demonstrate that SVM has good nonlinear approximation capability for inverse model, and the proposed control system has good dynamic and static performances as well as good robustness.
基于神经网络动态逆方法，给出了一种非线性模型参考自适应跟踪控制方案。
A plan of model reference adaptive tracking control for nonlinear systems is introduced based on neural network dynamic inversion (NNDI).
从整体上对数字控制逆变焊机系统进行了仿真研究，提出用受控源的方法实现了动态电弧负载模型与系统的连接。
A system simulation study was done for full digital welding inverter, and a method of connecting dynamic arc load model to the system with controlled source was presented.
辨识器采用RBF神经网络结构和最近邻聚类算法，实现了对系统逆动力学模型的动态辨识。
The system identifier based on RBF neural network which applies nearest neighbor clustering algorithm realizes the identification of the inverse dynamic system model.
非线性动态系统的内模控制要求建立精确的对象正模型和逆模型，这对于大多数实际对象是难以做到。
In the internal model control design for nonlinear systems, the precise forward and inverse models of plant are required, but it is impossible in the majority of practical plants.
飞机的基本控制律采用非线性动态逆方法设计，对于模型不准确和舵面故障等因素导致的逆误差采用神经网络进行在线补偿。
The base control law is designed in nonlinear dynamic inversion, and neural networks are used to cancel the inversion error induced by many reasons, especially by actuator failures.
该控制器的正模型和逆模型都以三层BP神经网络为主体，实现对SVC及电网的动态描述和对SVC的控制。
Three-layer BP neural network models are used for the internal model and the reverse model of the controlled system in the controller.
该控制器的正模型和逆模型都以三层BP神经网络为主体，实现对SVC及电网的动态描述和对SVC的控制。
Three-layer BP neural network models are used for the internal model and the reverse model of the controlled system in the controller.
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