An optimum model of discrete input-output is established in this paper. The method of solving the model and the optimal controls of state feedback are given.
在此提出了离散投入产出优化模型，给出求解该模型的方法和状态反馈形式的最优控制解。
Aiming at fault model of sensors failure with state feedback control system, a new method of controller reconfiguration with system stability is proposed.
针对状态反馈控制系统传感器失效故障模型，提出了基于系统稳定性设计的控制器重构新方法。
According to the nonlinear dynamic model of a nuclear reactor, a new constant neutron flux density control method based on nonlinear state feedback is presented.
针对核反应堆点堆动态非线性模型，提出了一种非线性状态反馈的中子通量密度恒值控制的新方法。
Then a so-called parallel distributed compensation (PDC) scheme is used to design state feedback controller for each local model.
在此基础上，采用并行分布补偿(PDC)技术对每个局部模型进行状态反馈控制器的设计。
The rigid body model of single suspension magnet are established with flux density as state variable and the system stability is analyzed with flux feedback control.
建立以磁场强度为状态变量的单悬浮电磁铁刚体模型，分析磁通反馈控制下系统的稳定性。
Based on the state space model systematized, and applying the dynamic output feedback, the conditions for robustness disturbance decoupling are proposed in the paper.
基于系统的状态空间模型，利用动态输出反馈，给出了鲁棒干扰解耦的条件。
Thus by nonlinear state transformation and nonlinear state feedback, the original 6 order nonlinear attitude model of a spacecraft is partially precisely linearized into a 2 order linear system.
这样通过非线性状态变换和非线性状态反馈，将飞行器原来的6阶非线性姿态模型部分精确线性化为二阶线性系统。
The stabilization criteria for nonlinear time-delay system described by fuzzy T-S model are proposed on (condition) that the time-delay is precisely available via memory state feedback strategy.
基于记忆型状态反馈策略，首先给出由T - S模糊模型描述的非线性时滞系统在时滞精确已知情况下的鲁棒镇定准则；然后给出非线性时滞系统在时滞未知情况下的鲁棒自适应控制策略。
Introducing the state feedback with proper form, the infinite poles of 2-d singular systems are eliminated. Accordingly, the closed-loop systems described by Roesser model are obtained.
通过引入恰当形式的状态反馈，消除了2 D广义系统的无穷远极点，得到了相应的闭环系统。
First, the state feedback is used to improve the process static and dynamic performance. Then, the controller is designed based on the internal model control principle.
采用了双环控制结构，先构造内环状态反馈以改善对象动态特性，然后按照内模控制原理设计外环的控制器。
The neural network model contains the feedback of the state neurons and takes the form of state space representation.
该神经网络模型包含内部状态神经元的反馈并具有状态空间形式。
For the dynamic model of inverted pendulum system, adopted fuzzy control method, the T-S fuzzy controller based on the state feedback was designed.
针对倒立摆系统动态模型，采用模糊控制方法，设计基于状态反馈的T - S型模糊控制器。
The mathematical model of inverted pendulum system is built, and a controller is designed based on the pole placement method with full state feedback to make the inverted pendulum system work stably.
通过建立倒立摆系统的数学模型，应用状态反馈控制配置系统极点设计倒立摆系统的控制器，实现其状态反馈，从而使倒立摆系统稳定工作。
Furthermore, using a state space model based predictive control algorithm, a multi-composition feedback model predictive control strategy is developed.
并应用基于状态空间模型的模型预测控制算法，推导了间歇精馏塔多个浓度反馈时的模型预测控制策略。
The permanence of a two - species model are investigated by different state-feedback controls. Some sufficient conditions which make the model in question permanent are obtained.
通过不同的状态反馈控制研究了一个二维种群模型的永久持续生存问题，得到一些使被研究系统永久持续生存的充分条件。
This paper proposes a new dynamic authorization model based on feedback mechanism to solve static state of mechanisms.
在此基础上提出一种基于反馈机制的动态授权新模型，很好地解决了现有授权系统的静态性的缺点。
Moreover, the optimal state-feedback control modules and Kalman filter are added in the model, then the whole LQG control system is constructed directly.
在此基础上，应用了最优状态反馈控制和卡尔曼滤波器模块，构成了完整的LQG控制系统。
Moreover, the optimal state-feedback control modules and Kalman filter are added in the model, then the whole LQG control system is constructed directly.
在此基础上，应用了最优状态反馈控制和卡尔曼滤波器模块，构成了完整的LQG控制系统。
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