模糊神经非模型控制是智能控制的一个前沿课题。
The fuzzy-neuro model-free control is one of the important areas in intelligent control.
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.
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.
设计了解析模糊控制器，并在此基础上引入了单神经元；根据智能积分的思想，研究了模糊神经元非模型控制算法。
Based on designing analytical fuzzy controller, fuzzy-neuron model-free control algorithm is studied by using single neuron and the thought of intelligent integral.
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.
Aspect日志记录模式也应用于模型驱动的开发环境中的Catalog服务控制器，用于提供Catalog服务调用的非侵入可跟踪性。
The aspect logging pattern was also applied to the catalog service controller in a model-driven development environment to provide noninvasive traceability of catalog service invocations.
提出智能控制、分级系统状态表、非集中化的控制调度模型、系统数据管理器等新概念并进行一定深度的探讨。
Meanwhile such new concepts as AI control, hierarchical table of system status, decentralized control model, system data supervisor are put forward, and on which discussion in detail is offered.
从二维浅水非恒定流的控制方程出发，建立了一个二维湖泊流体动力学模型。
Based on the two-dimension adlittoral non-invariablenes flow control equation of lakes, a hydrodynamic model of lakes was built up.
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.
研究了非完整移动机器人动力学模型中带有参数不确定和控制受限的鲁棒轨迹跟踪控制器的设计问题。
Designing of robust trajectory tracking controller for mobile robots with parametric uncertainties in the dynamic model and with bounded input is investigated.
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.
在此基础上，提出了分析控制性和非控制性下垫面因素共同作用下对洪水影响的基本思路，并建立了综合计算模型。
Then, a fundamental suggestion for estimation of impacts of both control factors and non-control factors on floods is presented and a comprehensive model for this estimation is developed.
通过划分机组的约束限制条件为安全运行区和非安全运行区，提出了一种基于开关控制策略的厂内经济运行模型。
Through division of constraint conditions of units into security operation zone and non-security operation zone, a new model for internal economic operation is proposed.
根据非回转体环向缠绕理论及叶片产品的具体要求，分析缠绕工艺，建立了张力控制系统的数学模型。
Next, according as no - gyrating round fiber winding theory and concrete request of vane, analyzing the winding technics, found the mathematics model of tension control system.
本文指出自校正控制中广泛采用的CARMA模型会导致控制系统对确定性扰动和非平稳随机扰动缺乏鲁棒性；
The CARMA model generally assumed in self-tuning control frequently leads to the controlled systems lacking robustness to deterministic and non-stationary stochastic disturbances.
提出了一种非严格正则模型静态输出反馈PI控制器求解的算法。
An algorithm for solving the static output feedback PI controller is presented.
对氢化非晶硅激光结晶提出了一种温场控制模型，可用以解释结晶特点，揭示结晶过程。
The temperature field control model of laser crystallization of hydrogenated amorphous silicon has been proposed, by which the crystallization processes and their features can be explained.
与采用线性化模型相比，采用非线性派克模型可保证灰色预测控制输入数据的非负性，简化预测算法。
Compared with the commonly used linearized model, the nonlinear Park model guarantees the nonnegative input data in grey prediction control, simplifies the prediction algorithm.
水轮机调速系统是典型的具有非最小相位、非线性、时变特性的复杂控制系统，难以建立精确的数学模型。
To the question of the hydraulic turbine regulating system, this paper discusses fuzzy neural network control (FNNC) based on the character of fuzzy logic and neural network theory.
本文还分析了具有非匹配不确定性因素的模型参考变结构控制系统的稳定性问题。
The stability of model reference variable structure system with mismatched uncertainties is also analyzed.
本文通过一个非完全信息动态博弈模型，证明了在一定条件下，这种控制权的转移及重新构造是一种有效率的组织演化形式。
Through a dynamic game model with incomplete information, this paper proves that this kind of transfer is an efficient form of organizational evolution.
提出了非绝热式固定床反应器基于改进混合模型的串级非线性推断控制策略。
A new cascade nonlinear inferential control strategy for a nonadiabatic fixed bed reactor based on improved hybrid model is proposed.
提出了稳定过程中的管理协调控制机构M的假设，分别建立了在完全信息和不完全信息条件下的非股权战略联盟相对稳定模型。
Presuming a control management institute m, the dynamic stabilization model of Non-equity Strategic Alliance under conditions of complete information and incomplete information is established.
利用模糊神经元非模型算法和NPID控制算法设计了油温控制系统和油压控制系统。
The fuzzy neuron non-model algorithm and the NPID control algorithm are adopted to design the control systems for oil temperature and pressure.
本文对非均匀业务下共享存储器atm交换机采用热点推出(HSPO)优先级控制策略方案建立了系统模型。
In this paper, the priority control method, called "Hot Spot Push Out" (HSPO), is used for analyzing the performance of Shared buffer ATM switches under a non uniform traffic.
在可变需求网络中考虑交通流分配的非均衡演化过程，建立一个时变拥挤收费和道路通行能力的联合最优控制理论模型，旨在使系统的全期总收益最大。
This paper presents a joint optimization model of time varying road tolls and capacities using the optimal control theory in disequilibrium traffic networks with elastic demand.
目的利用大鼠非控制性出血休克模型，探讨早期低压复苏的理想复苏压力。
Objective To explore the ideal fluid resuscitation pressure for early treatment of uncontrolled hemorrhagic shock.
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.
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.
应用推荐