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1·Combining the nonlinear control system theory and the aim of chaos synchronization, we designed a nonlinear feedback controller for synchronizing the scalar output signal of Chua's Circuits system.

把非线性系统的微分几何理论与混沌系统的同步控制目标相结合，设计了蔡氏电路混沌系统的标量混沌信号同步控制的非线性反馈控制器。

2·In order to improve the performance of information retrieval system, a retrieval algorithm combining multi-query data fusion with positive relevance feedback is presented.

为提高信息检索系统的性能，提出了一种多查询数据融合与正相关反馈相结合的检索算法。

3·Model feedback correction algorithm of GPC has Benn studied. Combining the RML and forgetting factor RLS, an improved RML parameter estimation method has been given.

研究了广义预测控制的模型反馈校正方法，将递推极大似然法和遗忘因子递推最小二乘法结合起来，给出了一种改进的递推极大似然参数估计算法。

4·A new multisensor distributed track fusion algorithm is put forward based on combining the feedback integration with the strong tracking Kalman filter.

研究基于强跟踪滤波和反馈综合相结合的多传感器分布式航迹融合算法。

5·Combining the separation principle with a direct construction method, we get the optimal control which is the linear feedback of the state filtering estimation.

结合分离原理和一种直接构造的方法，我们得到了显式的最优控制，它是状态滤波估计的线性反馈。

6·The former one is a new approach combining reinforcement learning with feedback control.

基于强化学习的多指手控制方法，该方法将反馈控制与强化学习相结合。

7·According to theoretical analysis, a control strategy combining PID-feedback control with digital-compensation was proposed and its performance was analyzed through simulation.

在理论分析的基础上制定了PID反馈控制和数字补偿相结合的控制策略，并对该控制系统的动、稳态特性进行了仿真分析。

8·In combining cantilever control with angular measurement and using the measured angular values as feedback, a closed-loop displacement control system is formed together with a step motor.

将弦臂控制和角度测量结合在一起，以测得的角度值作为反馈，和步进电机组成闭环位移控制系统。

9·This article has analysed a change phenomenon of principal and subordinate JK trigger from the Angle of logic feedback and logic function of combining synchronous RS trigger.

从逻辑反馈的角度并结合同步rs触发器的逻辑功能分析了主从JK触发器一次变化现象。

10·This paper establishes dynamic forward feedback correction model with the method of combining Bayes regularization and BP neural network.

文中采用贝叶斯正则化与BP网络结合的方法，建立动态前馈校正模型。