Simulation results show that the controller is better in comparison with traditional PID controller, and it has stronger robustness for the change of system parameters.
仿真结果表明，滑模变结构控制的性能优于常规的PID控制，在系统参数变化时表现出更强的鲁棒性。
Applying the model in the simulation of Hydraulic turbine Governing system, the change rules of both the system and the turbine's internal parameters can be found rapidly and accurately.
将该模型应用于水轮机调节系统仿真，能快速准确地得到系统及机组内部各参数的变化规律。
Based on this system, a dynamic neural network is used to track the change of quality characteristics during manufacturing process. Numerical simulation and practical experiment show good results.
根据提出的系统模型利用动态神经网络对加工过程质量特征参数的变化进行了跟踪实验，效果良好。
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