控制器

ESCP includes Sensor, Performer and Controller. Sensor apperceives battlefield information and interior feedback events, Peformer reflects the effect to battlefield, Controller deals with the apperceived information, and controls the entity behavior.

ESCP行为模型由感受器、效应器和控制器三部分组成，感受器感知虚拟战场环境信息和内部反馈事件，效应器反映CGF实体对象对虚拟战场环境的作用，控制器对感知的虚拟战场环境信息进行处理，并对实体的行为进行控制。

To overcome the bad effect resulting from the nonlinearity time-variability and uncertainty on autopilot system performance during the motion process of aerodynamics missile, and to further improve the flight quality of missile, the autopilot system and used control method are researched. Firstly the integrant structure of system is discussed; then baaed un introducing the traditional PID method, controllers for missile attitude motion are designed respectively using fuzzy self-turning PID method and neural network self-adaptive PID method; at last a simulation experiment is finished. By comparing the simulation results that the designed controllers have good qualities is showed, and the feasibility and validity of applying fuzzy control and neural network into automatic control of aerodynamics missile is confirmed, and the base that other nonlinear control theory can be combined with the traditional control for missile to further improve the performance of missile control system is established.

为了克服飞航导弹运动过程中的非线性、时变性和不确定性对自动驾驶仪系统性能的不良影响，进一步提高导弹的飞行质量，对自动驾驶仪系统及其采用的控制方案进行了研究；首先对系统的整体结构进行了分析，然后在介绍经典PID方案的基础上，分别采用模糊自调整PID方案和神经网络自适应PID方案设计了导弹姿态运动控制器，最后进行了仿真实验；仿真结果的对比展示了所设计控制器良好的品质，验证了将模糊控制和神经网络应用于飞航导弹自动控制中的可行性和有效性，为其它非线性控制理论与导弹传统控制相结合以进一步提高导弹控制系统的性能奠定了基础。

For the sake of researching and certificating the function of designed numeral control more expediently on theories, and according to the actual control system model, a computer imitating method is designed based on the imitating of numeral controller which is designed by Dalin, and then, emulation starts on the correspond computer simulating model.

为在理论上更方便地研究并验证数字控制器的性能，以大林算法设计的数字控制器的仿真为例，基于实际的控制系统模型搭建相应的计算机仿真模型，然后进行仿真。

A new type of controller called PIDNN, which coalesces traditional PID and neural network together, is introduced in this paper. It overcomes these shortcomings mentioned and has better robustness.

本文提出了一种不同于用BP 网络调整PID 参数的新的融合方法：PID 神经网络控制器；该控制器不仅能克服以上缺点，而且具有很好的鲁棒性。

Furthermore, it pays more attention to introduce the comprising of fuzzy controller and the methods how to realize.

在此基础上，论述了模糊控制器的原理和结构，用PLC编程实现了模糊控制器的设计。

Lastly, we get the full file path of the controller by concatenating the path, controller name and the extension .

最后，我们就得到了由路径，控制器名称，以及扩展名连起来的控制器的完整文件路径。

Simulation results show that this supplementary controller efficiently damps the power oscillation among areas,improves system stability,and has better robustness in various operation modes than the conventional supple-mentary damping controller.

仿真结果表明，与传统的阻尼控制器相比，基于强化学习算法的直流附加阻尼控制器能够有效地抑制区域间的功率振荡，提高交直流系统的动态稳定性，并且对多种运行方式具有一定的鲁棒性。

In one side, this model divides the user interface from the action, which improves the reusability of the code; in the other side, it divides the model from the action on it, which decouples the relation of each module.

将用户界面从动作控制器中分离出来，提高了代码的重用性；将数据模型从对其操作的动作控制器中分离出来，降低了各个模块间的耦合度。

The computer control system of the newly developed deoxidizing system replaces former manual operations with the control and management of the computer control system.

给出了利用粗糙集理论设计多变量耦合系统智能控制器的设计方法，其设计过程简单，易于工程实现，适用于同类多输入多输出智能控制器的设计。

This paper also proposes a method of rule compression storage that economizes the internal resource of single-chip microcomputer.

利用压缩存储有效地节约了单片机内部的资源，利用8位单片机实现模糊控制器提高了模糊控制器的性能/价格比。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。