非线性预测控制的研究也逐渐展开并深入。
The study of nonlinear predictive control is also developing.
提出一种基于BP网络的非线性预测控制算法。
An algorithm of nonlinear predictive control method based on BP neural networks is proposed.
研究了基于人工神经元网络模型的非线性预测控制。
The study of nonlinear predictive control based on artificial neural networks is carried out.
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 method, based on improved RAN, is being proposed in the paper.
因此继续深入研究非线性预测控制方法，具有重要意义。
Therefore, the study of nonlinear MPC algorithm is of great significance.
提出了一种新的基于T_S模糊模型的非线性预测控制策略。
A nonlinear model predictive control (NMPC) strategy based on T_S fuzzy model is proposed.
分析了一类非线性预测控制系统在控制器受扰时的鲁棒稳定域。
The robust domain of a class of nonlinear system in the presence of control system perturbations is analyzed.
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 to control tower's temperature of the device is first proposed.
线性预测控制的理论已经比较成熟，非线性预测控制的理论研究也取得了一定的成果。
By now, linear MPC theory is quite mature, and many issues have been addressed in nonlinear MPC formulation with academic success.
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。
It is presented the identity conclusion method of C-R fuzzy model and the nonlinear predictive control of C-R fuzzy model.
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。
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.
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。
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.
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。
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.
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 ontime adjusting using neural network based nonlinear model of the nonlinear system.
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。
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.
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。
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。
A novel neural network predictive control algorithm is proposed for a class of nonlinear system with special 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。
Robust model predictive control is proposed for a class of nonlinear systems with constraint inputs based on fuzzy T-S model.
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。
A robust model predictive control (MPC) scheme based on fuzzy modelling is proposed for a nonlinear system.
对于复杂的离散时间非线性系统，提出一种基于多模型的广义预测控制方法。
A multiple model based generalized predictive control is provided for complex nonlinear discrete time system.
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。
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.
推导了基于远程预报辨识的非线性广义预测控制算法。
A nonlinear generalized predictive control algorithm based on a Hammerstein model with long range predictive identification is presented.
针对高精度陀螺稳定跟踪系统，提出了一种基于小波基函数神经网络的非线性系统的一步超前预测控制算法。
In this paper, a one-step ahead predictive control algorithm based on wavelet neural networks is proposed for the gyro stability tracking system with high accuracy.
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。
Generalized predictive control is implemented for a class of nonlinear system by substituting it with a time-varying linear system.
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.
在此基础上，又设计了模糊神经网络预测控制器，实现了对非线性、大时滞系统高精度的自适应控制。
On the basis of this, a fuzzy-neural forecast controller is designed and robust adaptive control to the nonlinear big-lagged chaos system is realized.
由于T_S模糊模型每条规则的结论部分是一个线性模型，因此整个模糊模型可以看作一个线性时变系统，从而将模糊预测控制器中的非线性优化问题转化为一个线性二次寻优问题，以方便求解。
Since the conclusion part is linear, the T_S fuzzy model can be treated as a linear time_varying system, the nonlinear program in NMPC turns into a linear quadratic problem that can be easily solved.
在丙烯精馏塔的控制中，由于被控对象的非线性特性，采用线性模型的模型预测控制器难以保持良好的控制性能。
It is difficult to keep favorable controlling performance of model predictive control (MPC) by linear model due to controlled plant nonlinearity in propylene rectifier.
在丙烯精馏塔的控制中，由于被控对象的非线性特性，采用线性模型的模型预测控制器难以保持良好的控制性能。
It is difficult to keep favorable controlling performance of model predictive control (MPC) by linear model due to controlled plant nonlinearity in propylene rectifier.
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