Based upon the existing results in the literature, two-step model predictive controller with uncertainty is considered.
在文献已有成果基础上，考虑具有不确定性的两步法预测控制器。
A new model predictive controller ABRMPC is presented for constrained linear system with bounded additive perturbation.
针对存在有界外界扰动的有约束线性系统，本文提出了一种新的MPC控制器abrm PC。
The presented model predictive controller is implemented when system state is outside the terminal region, and sliding mode controller designed off line is used inside the region.
给出一种可行的双模控制方案，系统状态位于终端区外时采用提出的预测控制，在终端区内部采用离线设计的滑模控制。
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.
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。
An experiment method was used to identify ARX model of the system, based on which the predictive controller was obtained to control vibration of a cantilever beam.
通过实验方法建立了系统的ARX模型，并在此基础上设计了预测控制器对结构进行振动主动控制。
Based on model predictive control techniques, MCC is a multivariable constrained optimal controller with easy task switching.
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。
We create Predictive Model by analyzing system of Semi-Active control. We design the controller of Semi-Active control system, research stability of system with Internal Model control (IMC) theory.
通过对建筑结构的分析研究建立了预测模型，结合内模控制的理论设计了半主动控制系统的控制器、并分析了系统的稳定性。
This paper also discuss predictive model controller for military systems and the application in military logistics systems.
并对军事系统预测模型控制器及其在后勤系统中的应用进行了探讨研究。
It is presented in this paper a multivariable generalized predictive adaptive controller based on CARMA model and its application in the orbit control of spacecraft.
本文导出了基于对象CARMA模型的多变量广义预测自适应控制器，并将这种新的控制方法应用于航天器轨道控制中。
Simulations show that the predictive PID controller remains excellent control performance under disturbance, noise and model mismatch, which is very suitable for large time delay process.
通过仿真表明：在干扰、噪音存在和模型失配的情况下，预测PID控制器具有良好的控制性能，特别适合大纯滞后系统的控制。
The main focuses of this thesis are model simulation, coupling analyses, decoupling PID controller design and multivariable predictive controller design based on wastewater treatment Benchmark.
本文的主要工作是模型仿真、系统的耦合性分析、多变量pid解耦控制器设计及多变量预测控制器设计。
A single neuron PI controller with predictive model is designed according to nonlinear systems of many industry processes and practical plants.
针对工业过程和实际控制对象的慢时变非线性的特点，设计了一种预测模型的单神经元PI控制器。
The predictive error and its rate of change of the gray predictive model are taken to the fuzzy controller as two input variables.
模糊控制器的两个输入变量为设定值，与灰色预测模型的输出值之间比较得到预测误差及其预测误差的变化率。
The design of the predictive control system based on Neural Network include designing control object model, designing predictive model and designing controller model.
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。
Aiming at the mathematical model of continuous casting mold control system driven by the hydraulic servo system, the predictive controller is designed.
针对液压伺服驱动连铸结晶器控制系统的数学模型，设计了预测控制器。
Based on the model reduction theory in frequency-domain, two predictive PI (d) controller design methods for high order processes with time-delay are proposed.
利用频率域模型降阶理论，提出了高阶时滞对象的预测PI (D)控制器两种设计方法。
Fuzzy controller based on T-S model and generalized predictive controller are adopt.
控制采用基于T - S模型的模糊控制器和广义预测控制器。
In this paper, a multivariable adaptive long-range predictive controller based on CARMA model is developed.
本文采用CARMA模型，建立多变量远程预测控制器，并采用状态空间法分析其闭环系统的稳定性。
The neural network is used as predictive model. Golden Section is used in the optimization of controller. The variable searching region is set by the constraints of system inputs.
该算法以神经网络作为预测模型，以黄金分割法用于优化控制器，其中以系统输入的约束条件作为黄金分割法的动态搜索区间。
The predictive model is derived and the solution of a generalized predictive controller with restrictions is changed into a constrained quadratic programming problem.
推导了带约束的预测模型，并将约束广义预测控制的求解化为典型的约束二次规划。
The control strategy unites single neuron PI control algorithm and the predictive model based on neural network. The output of the controller is determined by PI algorithm.
采用单神经元PI控制算法与神经网络预测模型相结合的控制策略，用PI控制规律来确定控制器的输出。
Simulation results show the superiority of the proposed method over the conventional fuzzy controller and the grey model predictive fuzzy controller with fix predictive step size.
通过仿真研究验证了该方法能明显地改善常规模糊控制和固定预测步长的灰色预测模糊控制效果。
Based on the traditional control on PWM rectifier, space vector PWM predictive current controller is presented using the switching function model.
在传统的PWM整流控制的基础上，论文利用开关函数建模法，提出了基于预测电流的PWM电压空间矢量控制方法。
A predictive control method of fuzzy internal model is proposed. It adopts internal model control, fuzzy predictor and fuzzy controller which are combined together to act on the controlled process.
采用内部模型控制、模糊预估器和模糊控制器相结合，对模糊内模预估控制方法进行了研究。
The controller expression with undetermined parameters can be acquired by using backstepping design idea, and the controller parameters are optimized online by using model predictive control.
用反步设计思想获得具有待定参数的控制器表达式，然后用预测控制在线优化获得控制器的参数。
An online predictive supervisory optimal controller model of a central chilled water system is developed by integrating the model level, performance and parameter identification.
针对集中空调水系统，将模型层次、模型特性及参数辨识有机结合，建立了系统层次实时在线的优化控制预测模型。
In chapter 2, we analyse the the weakness of traditional PID controller and the over reliance of Smith predictive control on the model.
本文在第二章中分析了常规PID控制器的弊端和史密斯预估控制对模型的过度依赖问题。
In chapter 2, we analyse the the weakness of traditional PID controller and the over reliance of Smith predictive control on the model.
本文在第二章中分析了常规PID控制器的弊端和史密斯预估控制对模型的过度依赖问题。
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