An algorithm of nonlinear predictive control method based on BP neural networks is proposed.
提出一种基于BP网络的非线性预测控制算法。
The study of nonlinear predictive control based on artificial neural networks is carried out.
研究了基于人工神经元网络模型的非线性预测控制。
A nonlinear predictive control method, based on improved RAN, is being proposed in the paper.
提出一种基于改进的RAN网络的非线性预测控制方法。
A nonlinear predictive control algorithm to control tower's temperature of the device is first proposed.
本文首先提出了一种非线性预测控制算法用于控制蒸馏塔温度。
A nonlinear predictive control algorithm based on least squares support vector machines (LS-SVM) model was proposed.
提出一种基于最小二乘支持向量机(LS - SVM)的非线性系统预测控制算法。
It is presented the identity conclusion method of C-R fuzzy model and the nonlinear predictive control of C-R fuzzy model.
提出了C -R模糊模型的辩识递推算法和C - R模糊模型的非线性预测控制算法。
However, most processes in industry are nonlinear, time-variant and bear uncertainty, thus research on nonlinear predictive control has become an important issue in control field.
然而在实际控制系统中，被控对象往往具有非线性、时变性和不确定性，因此，关于非线性预测控制的研究已成为控制工程界的重要研究课题。
Nonlinear predictive control is realized by the global linear model based roll optimizing, and ontime adjusting using neural network based nonlinear model of the nonlinear system.
全局线性模型用于滚动优化 ，非线性模型用于预测系统输出和校正线性模型 ，实现非线性预测控制。
Nonlinear predictive control is realized by the global linear model based roll optimizing, and on-time adjusting using neural network based nonlinear model of the nonlinear system.
利用全局线性模型进行滚动优化，利用非线性预测模型校正线性模型，实现非线性预测控制。
The invention discloses a nonlinear predictive control method of a unit plant based on a chaos and hybrid optimization algorithm, belonging to the control field of thermal process.
本发明公开了属于热工过程控制领域的基于混沌混合优化算法的单元机组非线性预测控制方法。
A nonlinear predictive control algorithm based on fuzzy model was presented for a family of complex systems with severe nonlinearity such as of Proton exchange membrane fuel cell (PEMFC).
针对质子交换膜燃料电池(pemfc)等一类具有严重非线性的复杂被控对象，提出一种基于模糊模型的模糊预测算法，并对PEMFC系统进行建模。
Based on the DLF model, a nonlinear predictive control algorithm is proposed in the paper. The significant feature of the suggested control strategy lies in its low online computing burden.
在DLF模型的基础上，本文研究了一种非线性预测控制算法，它的显著特点是在线计算量小。
Predictive control is being perfected continually in the face of the property of the strong dynamic delay and time-varying nonlinear and many restriction conditions of the complex industry process.
面对复杂生产过程中的多种时变性、非线性、不确定性、大纯滞后以及各种约束条件，预测控制正在经历不断完善的过程。
To handle the unsymmetrical dynamic characteristics of some nonlinear systems in chemical process, a multi-model predictive control method was proposed based on self-tuning model.
针对化工过程某些非线性系统的不对称动态特性，提出了一种基于自校正模型的多模型预测控制算法。
A novel neural network predictive control algorithm is proposed for a class of nonlinear system with special model.
针对一类具有特殊模型的非线性系统本文提出了一种新型神经网络预测控制算法。
Generalized predictive control is implemented for a class of nonlinear system by substituting it with a time-varying linear system.
将一类非线性系统等价表示为时变线性系统，研究了非线性系统的广义预测控制。
Robust model predictive control is proposed for a class of nonlinear systems with constraint inputs based on fuzzy T-S model.
针对一类基于模糊T-S模型的输入受限非线性系统提出了鲁棒模型预测控制。
A robust model predictive control (MPC) scheme based on fuzzy modelling is proposed for a nonlinear system.
针对离散不确定模糊模型，提出了一种鲁棒非线性模型预测控制方法。
The support vector regression method is used for modeling the nonlinear process, and the predictive functional control method is used to control.
利用支持向量回归的方法对非线性过程进行建模，采用预测函数控制方法进行控制。
On the single machine to infinite bus power system model, using the design method, the novel nonlinear predictive integrated control laws of the generator are acquired.
针对单机无穷大系统，对发电机进行非线性预测综合控制设计，得到了新的发电机组非线性综合控制规律。
In this paper, a novel controller for thyristor-controlled series capacitors (TCSCs) with closed-form analytical solution nonlinear optimal predictive control (NOPC) is presented.
基于非线性最优预测控制(NOPC)理论，设计了一种具有闭合的解析控制律的可控串联补偿电容器(TCSC)的控制器。
Predictive control algorithms for a multivariable nonlinear system with limited inputs and outputs can be formulated as a constrained nonlinear optimization problem which is hard to solve.
输入输出受限非线性系统的预测控制问题，可以看作是一个难以直接求解的约束非线性优化问题。
For the uncertain nonlinear system, the multiple-model predictive control is studied which combines the switching method for the nonlinearity and the one for the model uncertainty.
提出了不确定非线性系统多模型预测控制的新方法，它结合了针对非线性的基于系统输出的切换方法和针对不确定性的模型切换方法。
Two-step model predictive control is applied, which decomposes the MPC problem into a dynamic optimization problem upon linear model and a static rooting problem of nonlinear algebraic equation.
采用两步法预测控制，即将预测控制问题分解为一基于线性模型的的动态优化问题及一非线性模型的静态求根问题。
This paper proposes a new generalized predictive control of the hydraulic bending roll system which features serious disturbance, time delay, nonlinear, and time varying.
针对液压弯辊控制这一随机干扰严重、滞后、时变的伺服系统，提出一种基于广义预测控制的液压弯辊控制系统。
A constrained nonlinear control algorithm is proposed which combining neural networks identifying, GA optimizing and the idea of predictive control.
将神经网络辨识、遗传算法全局优化和预测控制思想有机结合，提出了一种新型控制器，用于带约束的非线性对象的控制。
For the control of nonlinear system, a neural network predictive control strategy based on Golden Section Algorithm is presented.
针对非线性系统的控制问题，提出了一种采用黄金分割法的神经网络预测控制算法。
Develop a nonlinear model predictive control (NMPC) for SOFC application. NMPC is well suited in the nonlinear control environment with specified constraints.
建立了基于模型方程的SOFC非线性模型预测控制算法(NMPC)应用。
The model of the nonlinear system is obtained by LS-SVM, the offline model is linearize at each sampling instant and uses linear predictive function control methods to obtain the control law.
该算法采用LS-SVM回归建立非线性系统的预测模型，然后，将离线模型在每个采样周期关于当前采样点进行线性化，同时利用线性预测函数控制方法求解解析的控制律。
The model of the nonlinear system is obtained by LS-SVM, the offline model is linearize at each sampling instant and uses linear predictive function control methods to obtain the control law.
该算法采用LS-SVM回归建立非线性系统的预测模型，然后，将离线模型在每个采样周期关于当前采样点进行线性化，同时利用线性预测函数控制方法求解解析的控制律。
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