闭环系统

系统的产生代换品系可维修闭环系统GO法等效代换思路

Equivalent Substitution Idea for Maintainable Closed-loop System GO Methodology

使得闭环系统同时满足区域极点配置和H∞干扰抑制要求。

The resulting closed-loop system satisfies the domain pole placement requirement and H ∞ disturbance attenuation .

针对一类不确定Delta算子系统，建立其TS模糊模型，并讨论了闭环系统的鲁棒稳定性。

TS fuzzy model is built for a class of uncertain Delta operator systems .

并通过变参数PI数字电流控制器构成电流闭环系统。

The current closed-loop system is composed of current controllers that control variable parameter PI .

基于DSP的数字化SVPWM三相逆变器闭环系统

DSP-based closed-loop control system of three-phase SVPWM inverter

利用分段Lyapunov函数法对闭环系统的稳定性问题进行了分析。

With the piecewise Lyapunov theory , the stability of the closed system is analyzed .

PWM型开关变换器闭环系统时域分析的精细积分法

A precise time - integration for analysis of time - domain to closed - loop PWM switched converters

所设计的控制器对所有容许的不确定性不仅使得相应的闭环系统渐进稳定，也能保证闭环系统满足一定的H∞性能指标，达到抑制干扰的效果。

The controller designed can make the closed-loop systems asymptotically stable , and satisfactory to definite requirement of H_ ∞ properties , obtaining the effect of disturbance restraining .

本文着重于DC-DC开关变换器闭环系统非线性分析方法的研究。

This dissertation focuses on the study of nonlinear analysis of closed-loop DC-DC power switching converter systems .

基于李亚普诺夫函数证明了该控制方法可保证闭环系统的全局稳定，并获得了H∞跟踪性能指标。

It is proved that the whole control scheme can guarantee the stability of the closed-loop system , and achieve H ~ ∞ tracking performance based on Lyapunov function method .

以航天器在惯性坐标系下位置速度向量误差为输入量，给出了一种全状态反馈控制律，利用Lyapunov方法证明该闭环系统是渐进稳定的；

The tracing errors are required based on mean elements . The asymptotic stability of the feedback system is proved with Lyapunov method .

所得的控制律保证闭环系统对所有允许的不确定性是正则、稳定、无脉冲的且满足给定的H∞性能指标。

The control law guarantees that the closed loop system is regular , stable , impulse free as well as satisfies a prescribed H ∞ norm bounded constraint for all admissible uncertainties .

然后，基于构造的Lyapunov函数设计全局渐近稳定自适应控制律，并对闭环系统的跟踪性能进行了严格的理论分析。

Then , a global asymptotic stable adaptive control law is derived based on constructed Lyapunov function , and strict theoretical analysis is carried out for tracking performance of closed-loop system .

通过对H∞性能指标γ的在线最小化，闭环系统能实时协调控制性能要求和硬约束，并充分利用有限的控制能力提高控制性能。

By minimizing the H_infinity performance index on_line , the closed_loop system is able to manage the trade_off between required high performance and satisfying hard constraints , and to enable the most of the limited control to achieve good performance .

而Nyquist稳定判据则根据系统的开环频率特性判断闭环系统稳定性。

The Nyquist stability criterion judges the closed - loop systems ' stability , according to the system 's open - loop frequency characteristic .

分析了相应闭环系统的稳定性；比较了基于状态采样值的采样LQ控制和基于状态全过程的常规LQ控制下的最优指标值；

In addition to stability analysis of the closed-loop systems , the index difference between sampled-data-based LQ control and conventional LQ control is investigated .

驾驶员诱发振荡（PilotInducedOscillation，简称PIO）是由人-机闭环系统的不稳定引起的问题，是影响飞行安全的重要因素之一。

Pilot Induced Oscillation ( PIO ) is a series of problems brought by the instability of the closed-loop system of pilot-aircraft , and one of the most fatal factors which influence the flight safety .

利用Lyapunov稳定性理论，证明了闭环系统在正常情况和故障情况下都是渐近稳定的。其次，提出了一种新的非线性系统自适应容错控制方法。

The asymptotic stability of the closed-loop system is proved by Lyapunov theory both in normal case and in fault case . Second , a new adaptive fault-tolerant method for nonlinear systems is presented .

首先依据频域判据，确定保证闭环系统稳定的PID控制器参数域，然后采用全局寻优的遗传算法，获得ITAE指标最优的PID控制器参数。

Based on frequency stability theory , the parameter regions of PID controller were acquired which could stabilize the close-loop system . Then the ITAE-optimum parameters were obtained through genetic algorithm with global searching .

PWM开关电源系统具有强非线性，时变和不确定性等特点，使得DC-DC变换器闭环系统的建模，特别是瞬态分析变得比较困难。

PWM switching power supply system is strong non-linear , time-varying and it has the characteristics of uncertainty which makes the DC-DC converter closed-loop system modeling , especially , in transient analysis , difficult .

通过Backstepping方法与控制设计相结合得到的自适应神经网络控制器可以削弱逼近误差的影响，同时保证闭环系统的H∞跟踪性能。

By combining the backstepping technique with H_ ∞ control design , an adaptive neural controller is synthesized to attenuate the effect of approximation errors and guarantee H_ ∞ tracking performance for the closed-loop turn-table system .

所得到的控制器保证了闭环系统正则、因果、稳定并且满足给定的H∞性能指标，对所有容许的不确定性，保成本性能指标不超过某个确定的上界。

The control law guarantees that the closed-loop systems is regular , causal , as well as stable , and satisfies a prescribed H_ ∞ norm constraint . The cost of the closed-loop systems is within a certain bound for all these admissible uncertainties .

用TL494构成的恒流恒压双闭环系统

Constant Current / Constant Voltage and Double Closed-loop Control System Made of TL 494

然后将速率限制环节置于人机闭环系统中，利用描述函数法对驾驶员诱发振荡（PIO）机理进行了研究。

With the rate limiting element in man machine closed loop system , we analyse the PIO using the method of describing function .

本文提出了一种鲁棒设计的方法。这种鲁棒设计是通过使闭环系统矩阵A+BF的Frobenius范数最小化来实现的。

A robust design method by minimizing the Frobenius norm of the closed-loop matrix A + BF is presented in this paper .

首先，在系统状态全部可测的情况下设计出控制器，并用Lyapunov方法证明对此控制器闭环系统大范围渐近稳定。

We first design a controller when all the states of the system are measurable and it is proved by means of Lyapunov function that the closed-loop system is asymptotically stable in the sense of large range .

考虑一类广义时滞系统的状态反馈H∞控制问题，目的是设计状态反馈控制律，使得闭环系统渐近稳定，且满足一定的H∞性能指标。

In this paper , the problem of state feedback H ∞ control for generalized time-delay systems is considered . The problem we address is to design state feedback controllers such that the resulting closed-loop system is asymptotically stable , as well as satisfying H ∞ properties .

该控制器不仅保证闭环系统ISS（input＿to＿state）稳定，而且使得系统对于所有允许的参数不确定从干扰输入到可控输出的L2增益不大于给定的值。

The state feedback controller guaranteed that the closed system was input_to_state stable and the L_2_gain from the disturbance input to the controlled output was not larger than a prescribed value for all admissible parameter uncertainties .

基于灰色模型GM（1,2）采用两个辨识器分别辨识被控对象和闭环系统的参数，从而得到了控制器的参数，给出了一种广义预测控制的直接算法。

Author present a direct generalized predictive control algorithm based on Grey Model GM ( 1,2 ) in this paper . In this algorithm , we use two identifiers to estimate the parameters of plant and close-loop system , and get the parameters of controller .

在无限时区风险灵敏度指标下，应用积分反推（integratorbackstepping）技术，设计了控制器.所设计的控制器能够保障对任意风险灵敏度系数具有任意小的指标，并且闭环系统为概率意义下有界的。

Under an infinite-horizon risk-sensitive cost criterion , the controller designed can guarantee an arbitrary small long-term average cost for arbitrary risk-sensitivity parameter and achieve boundedness in probability for the closed-loop system using the integrator backstepping methodology .