Finally, the software system of the autonomous soccer robot, is studied and designed, which achieved a calibration environment, color sampling, target identification and testing feedback module.

本文最后研究并设计了全自主式足球机器人的软件系统，该系统实现了环境标定、颜色信息采样、目标识别和测试反馈等功能模块。

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The system adopts the techniques of initialization of state mapping plane, calibration of unknown pattern and on-line identification and this makes plant condition clustering efficiently.

该系统采用状态映照平面初始化方法、未知模式标定技术和在线识别技术，并结合知识库和规则推理的运用，有效地实现设备状态的分类。

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The prediction and identification performance of these nonlinear structures were examined by an example, which models a sensor according to the results of calibration.

最后列举实例，根据标定的数据用该方法对某传感器进行建模，结果验证了该建模方法对此类非线性结构的预测和辨识性能。

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