线性时滞系统的耗散控制

从全新的二次型供给率的耗散角度，研究了线性时滞系统的二次稳定性和耗散控制问题，给出了线性矩阵不等式(LMI)形式的充分条件。而且，考虑了时滞系统在状态反馈控制器和动态输出反馈控制器作用下的闭环系统的二次稳定和耗散性问题，同样给出了LMI形式的充分条件，并通过线性矩阵不等式的可行解构造出耗散状态反馈控制律和动态输出反馈控制律。     

非线性系统的分散镇定

本文研究非线性系统的分散镇定问题。利用局部的松弛反馈对一类具有互联结构的非线性大系统给出了Ｌｙａｐｕｎｏｖ型的分散镇定条件，并用这些Ｌｙａｐｕｎｏｖ函数给出了分散镇定设计。     

线性系统的鲁棒状态反馈控制器

本文基于线性系统的状态反馈特征结构配置结果和矩阵特征值灵敏度分析理论,提出了线性系统的一种鲁棒状态反馈控制器,它在满足闭环系统特性要求的前提下,使得闭环极点关于系统参数摄动具有最小的灵敏度.     

一种状态反馈的最佳控制设计法

针对状态反馈控制设计法存在的问题,论文提出一种以时间加权的误差积分(ITE)为最优准则,并采用遗传算法寻找最佳状态反馈增益与参考输入增益,以获得系统最佳动态性能并克服了静差,这为状态反馈控制设计提供了一种新思路。仿真实验证明,文中提出的方法是有效的。     

Measurement feedback disturbance decoupling in discrete‐event systems

The paper addresses the disturbance decoupling problem by dynamic measurement feedback for discrete event systems. The mathematical technique called the pair algebra of partitions is used. The paper gives sufficient solvability conditions and a procedure to compute the required feedback. Copyright © 2014 John Wiley & Sons, Ltd.     

线性系统状态反馈规范型设计及可视化仿真

本文针对线性系统的状态反馈设计问题．给出了能控规范Ⅰ型的设计方法，该方法通过对系统进行能控规范Ⅰ型线性变换，在能控规范Ⅰ型坐标系中确定反馈增益矩阵来实现的。采用此方法可根据用户要求的任意的配置极点对系统进行设计。本文根据此算法编写了便于仿真实现的MATLAB通用程序，且给出了此程序的解算流程图。最后对实例进行仿真．仿真结果说明了该方法的使用性和方便性。     

Stability analysis for nonlinear feedback control systems with linear actuators

Often, nonlinear feedback controllers are implemented with linear actuators, which have faster dynamics when compared with non-linear dynamics of the plant and controller models. However, how faster should the dynamics of the linear actuator be to ensure stability of the given nonlinear feedback control system? This note gives an analysis for the underlying stability issues and provides quantitative measures for the linear actuators employed in nonlinear feedback control systems.     

Minimal order linear model matching for nonlinear control systems

This paper gives a characterization of the minimal order of a dynamic state feedback that solves the model matching problem for a given nonlinear SISO-system and a given linear SISO-model.     

基于内容的图像检索中的相关反馈算法

近几年,相关反馈算法作为解决图像检索问题行之有效的方法,受到人们越来越多的重视,各种各样的相关反馈算法层出不穷,该文回顾了早期的启发式相关反馈算法和近期的最优相关反馈算法,对现有的相关反馈算法进行了分析、总结和对比,并提出了今后相关反馈算法的发展方向。     

Optimal control of systems possessing symmetries

It is shown that a symmetry in an optimization problem induces a decomposition of the optimal feedback control law into factors. One factor can be calculated algebraically and depends only on the symmetry; the other factor corresponds to a lower dimensional optimization problem. This gives a priori information about the structure of the optimal feedback control law and indicates a possibly more efficient method for optimizing such systems.     

Development of a stochastic optimization for multireservoir scheduling

Seasonal reservoir scheduling for multireservoir hydrothermal power systems is a practical, nonlinear, stochastic problem of high dimension. Extension of an existing deterministic algorithm to handle stochastic aspects is desirable. A linear feedback rule, but with chance constraints on lower limits only, gives some promising results. Exact solution by stochastic dynamic programming is possible only for a one-reservoir model. This result is compared to the deterministic and linear feedback solutions.     

A Remark on Sensor Disturbance Rejection of Nonlinear Systems

When disturbances enter sensors, the states of a plant cannot be precisely measured and the state feedback controllers are not implementable. Instead, the so-called measurement feedback controllers become interesting. For nonlinear systems, the output regulation theory is widely used for handling actuator and plant disturbances. This note gives a remark how the output regulation theory can be applied for sensor disturbances, and hence provides a novel measurement feedback design approach.     

DVD聚焦系统鲁棒复合控制器设计

在DVD聚焦伺服系统中，光盘翘曲会导致产生与光盘转动频率相同的周期性扰动．运用正反馈和负反馈相结合的复合控制器，可以有效抑制扰动．但是，正反馈对闭环系统稳定性有很大影响，所以给出一个具有鲁棒性的复合控制器．仿真和实验都证明了该控制器的有效性．     

Input–output decoupling of nonlinear systems by static measurement feedback

This paper gives necessary and sufficient conditions for solvability of the strong input–output decoupling problem by static measurement feedback for nonlinear control systems.     

Finite-time stabilization via dynamic output feedback

In this paper the finite-time stabilization of continuous-time linear systems is considered; this problem has been previously solved in the state feedback case. In this work the assumption that the state is available for feedback is removed and the output feedback problem is investigated. The main result provided is a sufficient condition for the design of a dynamic output feedback controller which makes the closed loop system finite-time stable. Such sufficient condition is given in terms of an LMI optimization problem; this gives the opportunity of fitting the finite-time control problem in the general framework of the LMI approach to the multi-objective synthesis. In this context an example illustrates the design of a controller which guarantees, at the same time, finite-time stability together with some pole placement requirements.     

Numerical computation of the optimal feedback law¶for nonlinear infinite time horizon control problems

An approach to the numerical computation of the optimal feedback law for nonlinear infinite time horizon control problems is presented and tested. For a sequence of control systems with truncated time horizon the canonical equations are solved by an adapted multiple shooting algorithm. Interpolation of computed costates gives a feedback law on a prescribed region of the state space. Numerical findings indicate applicability of this procedure to problems in higher dimensions. Received: February 1999 / Accepted: July 1999     

A note on reduced order stabilizing output feedback controllers

In this paper we show that if a certain class of nonlinear systems is globally asymptotically stabilizable through an n-dimensional output feedback controller then it can be always stabilized through an (n − p)-dimensional output feedback controller, where p is the number of outputs and n is the dimension of the state space. This result gives an alternative construction of reduced order controllers for linear systems, and recovers in a more general framework the concept of dirty derivative, used in the framework of rigid and elastic joint robots, and gives an alternative procedure for designing reduced-order controllers for nonlinear systems considered in the existing literature.     

Cryptanalysis of nonlinear feedback shift registers

For a successful cryptanalysis of an NLFSR, the needed number of known plaintext bits is about the smaller of two numbers: the period (including the preperiod if the sequence is not purely periodic) and the number of degrees of freedom of the feedback function. Therefore, under the assumption that the feedback function is completely unknown, there is no better way to cryptanalyse an NLFSR than a straightforward search for the period. If the choice of the feedback function is restricted in order to guarantee its efficient computation, then an algorithm by Boyar and Krawczyk gives an efficient cryptanalysis of the NLFSR in the sense of asymptotic complexity.     

Robust control of electrically-stimulated muscle using polynomial H∞ design

The work is concerned with the design and experimental evaluation of robust feedback systems for the control of ankle moments generated by the electrical stimulation of the human calf muscle. This is an important part of the problem of designing feedback controllers for stabilising the upright posture of people with spinal cord injuries while they stand. Robust controllers are designed using the polynomial approach to mixed sensitivity H_∞ feedback design. The approach was found to give a convenient and transparent way to design for performance. Moreover, the method gives a useful indicator of the robustness properties of a given design. This is highly useful for experimental controller “tuning”.