证明了这个模型的稳定性，分析了它的动态性能。
The stability of the model is proved. And its dynamic performance is analyzed.
结果证明此模型能够与实际运行情况很好地吻合，可用于仿真系统的构建、系统控制策略的研究及系统动态性能的分析等。
The results show that this model well conforms to the actual operation and can be used for simulation system construction, system control strategy study and dynamic performance analysis of the system.
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.
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