非线性奇异系统的线性化

本文讨论了非线性奇异控制系统的状态变换线性化问题,给出了线性化的一个充分条件,并给出两个例子说明本文的结论。     

非线性广义时变系统的干扰解耦

讨论了在正则状态反馈作用下,一类非线性广义时变系统的干扰解耦问题.首先,提出了一种新的解耦算法;然后,基于该算法,对系统的干扰解耦问题进行了研究,推导出该问题可解的充分必要条件,并且构造出反馈控制律;最后,举例说明了该方法的可行性.     

一类非线性不确定系统的鲁棒观测器设计

对于一类非线性不确定系统，给出一种基于观测器的鲁棒稳定控制器设计的新方法，它适用于一般匹配不确定系统，且对全维和降维两种观测器均进行了研究．设计实例表明，所设计的控制器反馈增益幅值较小、实现方便．     

非完整链式系统的输出跟踪控制--动态扩展线性化方法

针对非完整单链和多链系统,利用动态反馈线性化技术设计了输出跟踪控制器.证明了当满足一定的条件时,通过选择适当的输出变量并利用动态反馈可使非完整链式系统实现输入-输出完全线性化,从而可设计线性控制器跟踪期望的运动轨迹.最后以移动小车的跟踪控制为例,通过仿真验证了文中方法的有效性.     

一类非线性时变系统基于观测器的反馈稳定化

1　引言目前,有关非线性系统的状态反馈控制已取得了许多引人注目的研究结果,其中状态可测是此控制方法中的一个必不可少的假设.在实际中,许多系统的状态是部分可测或不完全可测,故构造观测器,并用估计状态实现反馈控制是一个非常有意义的研究工作.本文研究了一类仿射非线性时变系统基于状态观测器的输出反馈稳定控制问题.首先设计了系统的状态观测器,然后综合控制器和观测器得到了非线性输出反馈控制器,并证明了反馈后闭环系统的指数稳定性.研究结果表明,系统的控制器与观测器可以分离独立进行设计.2　系统的描述及预备知识考虑下列非线性…     

不确定变时滞系统的状态观测器与基于观测是器的鲁棒控制器设计

研究了具有变时滞的不确定系统的状态观测器和基于观测器的鲁棒控制器设计问题,其中不确定性是时变的,不要求满足匹配条件.通过构造增广系统,利用线性矩阵不等式(LMI)方法,获得了该不确定系统存在状态观测器和基于观测器的鲁捧控制器的充分条件,同时给出了相应的状态观测器和基于观测器的鲁棒控制器.     

INPUT‐STATE LINEARIZATION OF A ROTARY INVERTED PENDULUM

The aim of this paper is to design a nonlinear controller for the rotary inverted pendulum system using the input‐state linearization method. The system is linearized, and the conditions necessary for the system to be linearizable are discussed. The range of the equilibriums of the system is also investigated. Further, after the system is linearized, the linear servo controllers are designed based on the pole‐placement scheme to control the output tracking problem. The performance of the controller is studied with different system parameters. The computer simulations demonstrate that the controller can effectively track the reference inputs.     

基于动态神经网络的非线性系统鲁棒观测器设计

基于动态神经对一类不确定非线性系统提出一种新的鲁棒观测器。其中无离线学习、持续激励和输出匹配条件等要求。仿真说明所提方法的有效性。     

非线性扰动不确定时滞系统时滞相关鲁棒观测器设计

研究一类具有非线性扰动的不确定时滞系统的时滞相关鲁棒稳定性及其基于观测器的时滞相关鲁棒控制问题.将线性矩阵不等式(LMI,1inear matrix inequality)与数值不等式(AVI,algebraic value inequality)方法相结合给出了开环系统渐近稳定及其指数稳定的时滞相关条件.并设计了系统的观测器,给出了该系统基于观测器的时滞相关可镇定条件.     

一类非线性奇异系统的观测器设计

讨论了一类局部可观测的非线性奇异系统,首先基于非线性坐标变换进行完全线性化,然后再用类似Luenberger方法进行降阶观测器设计.仿真结果表明了该方法的有效性.     

非线性开关系统的一种新的鲁棒稳定性分析

研究了非线性开关系统 ,给出了其鲁棒稳定性的充分条件 .结果比以往的稳定性分析更具有实用性 .数值仿真结果令人满意     

OBSERVER-BASED STABILIZATION OF SYSTEMS WITH MONOTONIC NONLINEARITIES

We design an observer-based control law for a class of systems that include monotonic nonlinearities of the unmeasured states. Our observer results in nonlinear error dynamics which can be represented as the feedback interconnection of a linear system and a time-verying multivariable sector nonlinearity. The convergence of the estimation error is guaranteed by an observer matrix that renders the linear part passive, and is computable with LMI software. The feedback design is completed by combining the observer with a control law that renders the plant input-to-state stable with respect to the state estimation error.     

GENERALIZED QUADRATIC STABILIZATION FOR DISCRETE‐TIME SINGULAR SYSTEMS WITH TIME‐DELAY AND NONLINEAR PERTURBATION

This paper discusses a generalized quadratic stabilization problem for a class of discrete‐time singular systems with time‐delay and nonlinear perturbation (DSSDP), which the satisfies Lipschitz condition. By means of the S‐procedure approach, necessary and sufficient conditions are presented via a matrix inequality such that the control system is generalized quadratically stabilizable. An explicit expression of the static state feedback controllers is obtained via some free choices of parameters. It is shown in this paper that generalized quadratic stability also implies exponential stability for linear discrete‐time singular systems or more generally, DSSDP. In addition, this new approach for discrete singular systems (DSS) is developed in order to cast the problem as a convex optimization involving linear matrix inequalities (LMIs), such that the controller can stabilize the overall system. This approach provides generalized quadratic stabilization for uncertain DSS and also extends the existing robust stabilization results for non‐singular discrete systems with perturbation. The approach is illustrated here by means of numerical examples.     

一类非线性系统的自适应控制方法

非线性系统的模型参考自适应控制是自适应理论的一个新的发展方向,目前针对可反馈线性化的系统已经取得了很多研究成果.但以往采用的方法要求系统对未知参数是线性的,且计算复杂度随系统阶次或相对阶的升高而升高.给出一种新的非线性模型参考自适应跟踪控制方法,证明了无需未知参数以线性形式存在,而只要求回归向量对参数满足一定的Lipschitz条件即可保证系统具有期望的特性.     

一类基于非线性状态观测器的鲁棒故障检测

本文提出了一种新的基于非线性状态 观测器的鲁棒故障诊断策略．该方法在传统故障检测滤波器（FDF）的基础上,针对一类满 足Lipshitz条件的仿射非线性系统,构造了非线性故障检测滤波器,给出了故障检测增益阵 的设计算法及其闭环观测误差系统稳定性的证明,解决了非线性系统的故障可检测性问题． 在残差决策阶段,采用模糊自适应门限的判决方法,提高了故障检测的鲁棒性．最后,针对 歼击机结构故障的仿真,验证了本文方法的有效性．     

A‐Orbital feedback linearization of multiinput control affine systems

This article deals with transformations of multiinput nonlinear control systems into linear controllable systems. For multiinput control affine systems, the notion of A‐orbital feedback linearizability is introduced which generalizes the notion of orbital feedback linearizability and is based on input‐dependent time scalings. A necessary and sufficient condition for A‐orbital feedback linearizability is derived for multiinput control affine systems. On the basis of this condition, an A‐orbital feedback linearization algorithm is developed. It is revealed that the proposed concept extends the existing approaches to orbital feedback linearization. More precisely, it is proved that if a system is A‐orbitally feedback linearizable in a neighborhood of some point, the dimension of the state is greater than that of the input by at least three, and the time scaling essentially depends on the input, then the system cannot be orbitally feedback linearized around that point.     

具有多滞后非线性定常关联控制系统的镇定性研究

建立了多组多滞后定常非线性控制系统的结构 概念,采用李雅普诺夫函数分解等价法,由 Riccati矩阵微分方程的对称正定解矩阵构造正 定二次型Ｖ函数,给出了无滞后无扰动参数线性定常控制孤立子系统的镇定性,蕴含具有滞 后控制向量函数的扰动结构参数的多组多滞后区间系数定常非线性关联控制系统的关联鲁棒 镇定的一个充分条件,同时给出了扰动参数与滞后非线性项界线的估计公式．     

SENSITIVITY APPROACH TO OPTIMAL CONTROL FOR AFFINE NONLINEAR DISCRETE‐TIME SYSTEMS

This paper deals with the optimal control problem for a class of affine nonlinear discrete‐time systems. By introducing a sensitivity parameter and expanding the system variables into a Maclaurin series around it, we transform the original optimal control problem for affine nonlinear discrete‐time systems into the optimal control problem for a sequence of linear discrete‐time systems. The optimal control law consists of an accurate linear term and a nonlinear compensating term, which is an infinite sequence of adjoint vectors. In the present approach, iteration is required only for the nonlinear compensation series. By intercepting a finite sum of the series, we obtain a suboptimal control law that reduces the complexity of the calculations. A numerical simulation shows that the algorithm can be easily implemented and has a fast convergence rate.     

非高斯列维噪声激励下非线性系统的Lyapunov指数

研究了非高斯列维噪声作用下非线性系统的渐近线性化方法和Lyapunov指数.利用渐近线性化方法将非线性系统线性化,通过系统的响应轨迹验证了该方法的有效性.通过广义的伊藤法则公式,推导出了列维噪声驱动下Lyapunov指数的一般表达式.给出当参数变化时,非线性系统的随机稳定性分析.     

非线性可约函数方程组的展开式解

本文将可约变换的结果推广至方程组，针对方程组至少有一个可约方程的情形得到其可约变换定理，并依此推导出一类非线性可约方程组的展开式定理。