To the widely existed characteristics of time-delay, non-linear and timevarying of parameters in the industry process, an adaptive neuron-fuzzy PID controller based on optimal prediction is presented.
针对工业过程中普遍存在的时滞、非线性、对象参数时变等特性，提出了一种基于最优预测的神经元模糊自整定PID控制算法。
Then a fuzzy logic controller was designed as a regulator to modify the optimal control gains based on the run-time information, including navigation, communication, mission priority, and so on.
然后，设计模糊逻辑控制器，利用编队运行中的导航信息、通信信息以及任务优先级信息，对控制器增益进行模糊调节。
A fuzzy controller is designed to decide the optimal tactic of distributing the information flow of the queue system, which makes the time of the clients delay least in the communication system.
建立了一个模糊控制器来决定排队系统信息流分配的最优策略，使得顾客在通信系统中的平均逗留时间最小。
In this paper, a robust self-tuning control algorithm for PID controller with pole assignment optimal prediction suitable for the process with unkaow or time-varying delay is proposed.
本文提出一种适合于时变时滞系统的极点配置最优预报自校正PID鲁棒控制算法。
An algorithm of the optimal prediction self-tuning PID controller that overcomes time-varying large lag and parameters is presented in this paper.
本文提出了一个克服时变大时滞及被控过程参数时变的最优预报自校正PID控制算法。
Since no approximation is made in the derivation of the time-delay optimal controller from the mode-controlled equation, the system stability is easy to guarantee.
因在由控制模态方程推导时滞最优控制律的过程中无近似处理，所给控制方法易于保证控制系统的稳定性。
A linearized time-delay controller is proposed for a flexible manipulator system following the optimal tracking control theory.
采用最优跟踪控制方法对柔性机械臂线性化主动控制中的时滞问题进行研究。
The problem of fuzzy optimal control for nonlinear time-delay system was considered based on the framework2 of T-S( Takagi-Sugeno) fuzzy model and parallel distributed compensation(PDC) controller.
基于T S模糊模型和平行分布补偿器（PDC） ，讨论了非线性时滞系统的模糊最优问题。
The problem of fuzzy optimal control for nonlinear time-delay system was considered based on the framework2 of T-S( Takagi-Sugeno) fuzzy model and parallel distributed compensation(PDC) controller.
基于T S模糊模型和平行分布补偿器（PDC） ，讨论了非线性时滞系统的模糊最优问题。
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