Firstly, design of the linear quadratic optimal controller.
首先进行线性二次型最优控制器设计。
UPFC's linear optimal controller with full-state feedback is designed.
设计了UPFC全状态反馈线性最优控制器。
Optimal controller is combined of a optimal reduced order state estimator and a optimal static output feedback gain matrix.
动态反馈控制器可表示为一个最优降维状态估值器和一个最优静态反馈增益阵。
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。
Firstly, the simplified model of the single inverted pendulum system is analyzed, and then designed a digital optimal controller with integral function.
通过对单级倒立摆系统的简化模型分析，设计了带有积分环节的数字最优控制器。
The robustness of the optimal controller for uncertain parameters of systems and the algebraic criteria of exponential stability in mean square are obtained.
得出了最优控制器关于结构不确定性的鲁棒性质。给出了系统的均方指数镇定的代数判据。
Based on a piecewise quadratic Lyapunov function, this paper presented a stability analysis and optimal controller design method for piecewise linear systems.
对于分段线性系统稳定性分析以及控制器的优化设计问题，本文给出了一种基于分段二次李雅普·诺夫函数的求解方法。
With the analysis of the step response diagram and poles diagram, the optimal state feedback array is obtained and finish designing of optimal controller of AGV.
通过对闭环系统阶跃响应和零极点图的分析，合理的确定了系统最优反馈控制增益矩阵，最终完成了控制器的设计。
The fuzzy controller ACTS as an adaptive gain variable linear optimal controller, and it can satisfy the multi objective control requirements of the TCSC system.
该模糊控制器相当于自适应变增益的线性最优控制器，能满足系统多目标控制的要求。
Simulation results show that optimal preview controller suppresses the horizontal vibrations effectively and exhibits superior performance than optimal controller.
仿真结果表明，最优预瞄控制可以显著地降低电梯的水平振动，性能优于最优控制。
Since no approximation is made in the derivation of the time-delay optimal controller from the mode-controlled equation, the system stability is easy to guarantee.
因在由控制模态方程推导时滞最优控制律的过程中无近似处理，所给控制方法易于保证控制系统的稳定性。
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。
A modified linear quadratic optimal controller is designed for the linear part, while adaptive gain is used in the nonlinear part for adapting to different control surface damages.
线性部分采用改进的线性二次型最优控制器法进行计算，而非线性部分采用自适应增益来更好地适应故障情况。
Forward the foundation and linear of the system model, the optimal controller and the state observer were designed by using the optimal control theory and the manner of pole configuration.
对水下航行器热动力推进系统的非线性模型进行了线性化处理，应用线性二次型控制方法设计了系统的最优控制器，采用极点配置的方法设计了系统的状态估值器。
For this kind of motion is determinated, it is feasible to be worked out uniquely in advance and design an optimal controller to suppress the load sway according to the quadratic optimal law.
由于这类运动是确定性的，可以事先唯一地求出，由此设计出一种最优控制器，按照二次型最优消摆规律消除载荷摆振。
In order to resolve the shortage, the thesis chooses the linear quadratic form optimal controller design scheme by applying linear state feedback control of the modern optimal control theory.
针对这种不足，选择现代控制理论中的线性状态反馈控制方法，采用了线性二次型最优控制器设计方案。
Based on the optimal closed-loop transfer function, a new design method of optimal controller is proposed; which can be widely used to a process control sys-tem and for instrumental calibration.
本文根据最优闭环传递函数，论述最优控制器的设计，对过程控制系统与仪表装置的校正设计有参考价值。
The T-S fuzzy models of the velocity loop and position loop are constructed via the table's nonlinear dynamic model. Robust-optimal controller of velocity-loop is designed for velocity orientation.
通过转台的非线性动力学模型建立了转台速度环以及位置环的T - S模糊模型，设计了实现速率定位功能的速度环鲁棒最优控制器。
This paper presents a new method of optimal robust pole_placement using the theory of dynamical interval, and apply it to design robust controller of hydraulic turbine regulating system.
本文应用动态区间系统最优鲁棒极点配置方法，对常规极点配置方法进行了改进，并应用于水轮机调节系统的最优鲁棒控制器的设计。
The design methods and further improvement of optimal PID controller for these plants are investigated respectively and a lot of simulation experiments are performed.
针对各类对象，分别讨论了基于稳定域最优PID控制器的设计及进一步改进，并进行了大量仿真实验。
To the widely existed characteristics of time-delay, non-linear and timevarying of parameters in the industry process, an adaptive neuron-fuzzy PID controller based on optimal prediction is presented.
针对工业过程中普遍存在的时滞、非线性、对象参数时变等特性，提出了一种基于最优预测的神经元模糊自整定PID控制算法。
To obtain the optimal energy utilization, the controller controls the regenerated energy feeding to the battery when the motor operates in braking mode.
为了提高能源的利用率，控制器采取能量回馈制动的方式，将制动时的能量回馈到电池。
In the process of control design, the sliding surface of sliding mode control is determined by minimizing the optimal cost function, and the controller is the saturation controller.
在设计控制系统时，滑模控制滑模面通过最小化最优价值函数得到，控制器采用饱和控制器。
By use of immune evolutionary algorithm, a new optimal method of fuzzy controller was presented.
利用免疫进化算法，提出了一种新的模糊控制器优化设计方法。
The parameter of fuzzy controller is got by convex optimal method of LMI.
再用线性矩阵不等式的凸优化方法求出模糊控制器的参数。
An optimal cascade PID controller based on restrictions of stable region was researched.
提出一种稳定域约束的串级PID控制器的参数优化方法。
Discusses the design of an observer-based optimal guaranteed cost controller for a class of singular systems with state-delay and parameter uncertainties.
讨论一类含有参数不确定性且具有状态滞后的广义时滞系统的观测器型最优保成本控制器设计问题。
In this paper a new algorithm is proposed to design a decentralized optimal excitation controller for multimachine power systems.
本文给出了多机电力系统分散最优励磁控制器的一种新算法。
The test results showed that the optimal fuzzy controller had a good dynamic and static performances as well as a remarkable effect on power saving.
试验结果表明，优化后的模糊控制器具有良好的动、静态性能和较好的节能效果。
The test results showed that the optimal fuzzy controller had a good dynamic and static performances as well as a remarkable effect on power saving.
试验结果表明，优化后的模糊控制器具有良好的动、静态性能和较好的节能效果。
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