One of the immune controllers is chosen to draw a comparison with traditional PID controller in the aspects of dynamic response, robustness and delay resistance.
并选用其中的一种免疫控制器与传统的PID控制器在动态响应、鲁棒性以及抗时延方面进行了对比。
Simulation results show that this controller could yield better performance in dynamic response, robustness and anti-interference than both immune controller and fuzzy controller.
仿真结果表明：该模糊免疫控制器能够取得比免疫控制器和模糊控制器更好的动态控制效果，并且在鲁棒性、抗干扰能力方面都更胜一筹。
The immune controller is an intelligent controller which drawing on the immune mechanism of biological system. It has characteristics of short adjustment time, strong anti-interference ability.
免疫控制器是借鉴生物系统的免疫机理而设计的一种智能控制器，具有参数调整时间短、抗干扰能力强等特点。
By use of immune evolutionary algorithm, a new optimal method of fuzzy controller was presented.
利用免疫进化算法，提出了一种新的模糊控制器优化设计方法。
Immune PID control is an intelligent PID control based on the immune principle of Biology. Selection of parameters is the core task for the design of this controller.
免疫PID控制是一种基于生物学中免疫原理的智能PID控制方法，参数设定是该控制器设计的重要环节。
Aiming at the design difficulty for fuzzy neural network controller, an immune evolutionary algorithm is proposed to design the parameters of a radial basis function fuzzy neural network controller.
针对模糊神经网络控制器难于设计的问题，提出了一种免疫进化算法用于径向基函数模糊神经网络控制器参数的优化设计。
According to the fuzzy immune PID control theory, a high performance fuzzy immune PID controller based on the single microcomputer control chip has been designed.
根据模糊免疫PID控制理论，设计了基于单片微机控制芯片的高性能模糊免疫PID控制器。
Based on immune feedback and classical PID controlling theory, an immune PID controller was developed.
本文将免疫反馈与传统的PID控制器相结合，构成一种新型的免疫PID控制器。
A design scheme of optimal RBF fuzzy neural network controller is proposed based on artificial immune principle.
提出了一种基于人工免疫原理的最优r BF模糊神经网络控制器设计方案。
Fuzzy immune PID controller is used for rebuilding PID ship autopilot based on immune adjusting mechanism of biology system.
借鉴生物系统免疫调节机理，将一种模糊免疫PID控制器应用于改造船舶PID型航向自动舵。
Based on the modulation mechanism of neuroendocrine-immune system, we present a nonlinear optimized intelligent controller (NOIC) in this paper.
基于神经内分泌系统的整体调节机制，提出一种非线性优化智能控制器。
In accordance with biological immune-system characteristics the authors have come up with a method of self-tuning PID controller parameters on the basis of an immune evolutionary algorithm.
根据生物免疫系统特性，提出了一种基于免疫进化算法的PID控制器参数自整定方法。
The immune clone evolutionary(ICE) algorithm is presented to optimize the parameters of the fuzzy neural network(FNN) controller for the complex billet heating process.
针对复杂钢坯加热过程，提出了一种免疫克隆进化模糊神经网络（ICE-FNN）控制算法。首先根据现场样本数据建立过程神经网络模型；
This fuzzy-immune PID controller combines conventional PID control and fuzzy inference to make up fuzzy-immune PID controller is used to improve the control performance.
该控制器把免疫控制器与常规PID控制和模糊推理结合构成模糊免疫 PID 控制器，以改善控制性能。
This fuzzy-immune PID controller combines conventional PID control and fuzzy inference to make up fuzzy-immune PID controller is used to improve the control performance.
该控制器把免疫控制器与常规PID控制和模糊推理结合构成模糊免疫 PID 控制器，以改善控制性能。
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