对废水淤泥的厌氧消化处理过程进行了研究，提出了一种基于神经网络的非模型控制方法。
The stabilization of wastewater sludge by anaerobic digestion has been analysed. A model-free control strategy (MFC) is presented.
介绍了神经元非模型控制的结构和基本原理及模糊控制器的设计的两种基本方法。
An introduction of the basic principles of the neuron model-free control and the basicdesign methods of the fuzzy controller is given.
为了验证控制方法，设计制作了一个具有非驱动关节的机器人模型。
To verify the control method , we design and produce a robot with a unactuated arm.
本文提出了具有不确定性火电单元机组的一种前馈模糊神经非模型协调控制方法。
The novel method of the fuzzy neuron model-free coordination control is proposed for a unit power plant with uncertainties in this paper.
探讨了关于非最小相位系统的参考模型自适应控制系统（MRACS）的一种设计方法。
This paper is concerned with a design of a model refenrence adaptive control system (MRACS)for a nonminimum phase system.
给出了一个利用非结构模型求解、用脉冲响应函数描述的系统的分析和最优控制问题的新方法。
A new method via unstructured model is presented for analysing the system described by impulse response function and solving its optimal control problem.
针对具有输入时滞、且同时具有非匹配不确定项的一类对象模型，采用状态变换法把原系统转化成为一个无时滞系统，并应用滑模控制的方法设计了控制器。
The state transformation is used to convert a system with uncertain and unmatched input time-delay into a delay-free one, with a sliding mode controller designed.
传统的PSD算法所具有的易于工程实现的特点和神经网络在非模型控制上所具有的优势，二者的结合对模型不确定性对象的控制是一个好的方法。
That the easy realization in applications of traditional PSD algorithm combine with the advantages of neuron network for model free control, is a good method for the plant having uncertainty model.
针对一类不确定的离散时间非线性非最小相位动态系统，提出了一种基于神经网络和多模型的直接自适应控制方法。
A direct adaptive control approach is proposed for a class of uncertain discrete time nonlinear non-minimum phase dynamical systems.
其次，建立了半径变化数学模型，根据“非圆”卷绕特点和半径模型提出了速度控制方法。
Secondly, the model of radius is founded, the method of "speed control" is given according to the features of "non-round" winding.
将基于紧格式线性化的非参数模型直接自适应预测控制方法应用到直线电机速度和位置控制中。
The forming process is simplified to a discrete single input single output system and described by a non-parametric model.
针对PID控制器存在的局限性，在研究分析非模型滑模控制器的基础上，设计了滑模模糊控制器，并提出了其时间次优解的实现方法。
The control system can readily be expanded and transplanted. 4 Considering the limitations of PID controllers for AUV-VBS, free-model Sliding mode Fuzzy controller SMFC is proposed.
针对PID控制器存在的局限性，在研究分析非模型滑模控制器的基础上，设计了滑模模糊控制器，并提出了其时间次优解的实现方法。
The control system can readily be expanded and transplanted. 4 Considering the limitations of PID controllers for AUV-VBS, free-model Sliding mode Fuzzy controller SMFC is proposed.
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