论文的主要结果有(1)对双速率采样系统，分别给出了基于状态空间模型和输入输出模型下的预测控制器的设计方法。
The main results are: (1) For a dual-rate sampled system, the design methods of predictive controller based on state-space model and input-output model are given respectively.
本文中提出了基于ARMAX模型的新型广义预测控制，揭示了其控制策略与模型算法控制(MAC)之间的内在联系。
In this paper, a new type of generalized predictive control based on ARMAX model is proposed. The internal relations between the control strategy and model Algorithmic control (MAC) are revealed.
基于模型预测控制技术的MCC是一种带有约束、多变量和灵活控制任务切换的优化控制器。
Based on model predictive control techniques, MCC is a multivariable constrained optimal controller with easy task switching.
基于多变量灰色系统模型，提出了一种MIMO系统的广义预测控制直接算法。
A direct generalized predictive control algorithm of MIMO systems based on multivariable grey model is presented.
本文设计了基于神经网络技术的预测控制系统，包括控制对象模型的设计、预测模型的设计和控制器的设计。
The design of the predictive control system based on Neural Network include designing control object model, designing predictive model and designing controller model.
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.
提出一种基于二次逼近模型的PID增益预测控制，并阐述了该系统的结构、算法和应用特点。
PID gain predictive control based on two approximation model is proposed for the problems of the traditional PID control and predictive control.
提出一种基于模型预测控制(MPC)的反馈调度算法(FS - MPC)，可以在有限计算资源的情况下改进实时控制系统的性能。
A feedback scheduling based on model predictive control (FS-MPC) was presented to improve the control performance of real-time control system subject to limited computational resource.
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.
给出了电力市场环境下基于电压安全的最优预测控制的模型及算法。
Proposes the model of optimal preventive control based on voltage security in electricity markets.
针对具有高度非线性特性的连续搅拌反应釜(CSTR)控制过程，研究了基于神经模糊模型的预测控制策略。
In this paper, a predictive control strategy based on neuro-fuzzy model is applied to Continuous Stirred Tank Reactor (CSTR) process, which has characteristic of highly nonlinearity.
针对单调阶跃响应的单变量系统，提出一种基于简化模型的自适应预测控制算法。
In this paper, an adaptive predictive control algorithm based on a simplified model is proposed for a stable system with monotone step response.
模型预测控制(MPC)，也称为滚动时域控制(RHC)，是一种基于模型的控制理论，采用线性或非线性模型预测系统的活动。
Model predictive control (MPC), also known as receding horizon control (RHC), is a class of model-based control theories that use linear or nonlinear process models to forecast system behavior.
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.
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.
针对当前乙炔加氢反应器操作现状，提出了常规复杂控制与基于机理模型的预测控制技术相结合的复合控制策略，旨在改善当前成效低的简单开环调节。
Based upon the operation actuality of acetylene hydrogenation reactor, the paper set up a control strategy, which is composed of general PID control and predictive control based on mechanism model.
简单介绍了模糊预测控制系统的原理，详细介绍了如何建立基于模糊关系的模糊预测控制系统中的预测模型以及如何实现模糊预测控制的模糊预测模型。
The mechanism of the fuzzy predictive control is introduced briefly and how to established fuzzy predictive model base on the fuzzy relation and how to realize the model are introduced in details.
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.
在预测控制的算法机理上给出了位置控制系统的预测模型，并在此基础上进一步介绍了基于预测控制理论的位置调节器程序的设计方法。
A predictive model of positioning system using predictive control algorithm is presented. The software design method of the positioner based on predictive control theory is introduced.
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。
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.
控制采用基于T - S模型的模糊控制器和广义预测控制器。
Fuzzy controller based on T-S model and generalized predictive controller are adopt.
基于线性模型的模型预测控制研究已经相当成熟并得到了广泛的工业应用。
Research on linear predictive control has become mature and linear MPC has gained wide application in industrial processes.
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。
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.
作为基于模型的优化控制算法，如果模型预测控制算法的预测模型与实际对象的失配程度很严重，则仅靠整定控制器参数将难以改善控制器性能。
As a model-based control algorithm, the performance of controller will be hard to be improved only by re-tuning the parameters of controller if there is serious mismatch between model and plant.
本文首先对模型失配问题进行了归类和定义，对一种已有的基于状态空间描述模型预测控制系统的模型失配评估方法进行了分析。
In this paper, the model plant mismatch problem is classified and defined. An existed method of model plant mismatches assessment formulated in terms of discrete time state space model is introduced.
基于最小二乘支持向量机的船舶航向预测控制系统对外界干扰及模型参数摄动均具有较好的适应能力以及良好的控制性能。
Model predictive control with least squares support vector machine (LS-SVM) has good control performance on the ship course even under the condition of disturbance and model parameter perturbation.
提出了电力市场环境下基于电压安全的最优预测控制的模型及算法。
For the structural control under seismic excitation, an algorithm of instantaneous optimal prediction control is presented.
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。
Develop a nonlinear model predictive control (NMPC) for SOFC application. NMPC is well suited in the nonlinear control environment with specified constraints.
针对连铸过程的结晶器液面控制问题，提出了基于最小二乘支持向量机技术的预测模型的预测控制方法。
A new predictive control method based on least square support vector machine is proposed in order to control mold level of the continuous casting.
提出基于非线性模型预测控制的快速汽门控制器设计方法并推导出控制规律解析式。
The design method based on nonlinear model predictive control is put forward, and analytical solutions are drawn from it.
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