不确定时滞组合系统的分散输出反馈镇定

综合运用比较原理和LMI方法,通过构造一比较系统,将原组合系统的稳定性问题转化为讨论维数低的比较系统的稳定性问题,并利用M矩阵特性导出了比较系统稳定的一个充分条件;为了求取输出反馈增益,建立了等价的稳定条件的QLMI表示形式。通过建立QMI中一矩阵变量的递推关系,将QMI问题转换为一替代过程的LMI求解问题,进而通过求解这一LMI问题来获取可镇定的非线性组合系统输出反馈增益阵。这一方法的特点是使大系统的稳定控制器设计的复杂度保持在子系统一级的水平上,给出实例说明了算法在实际工程应用中是有效的。     

ON LIMITATIONS OF THE SAMPLED—DATA FEEDBACK FOR NONPARAMETRIC DYNAMICAL SYSTEMS

In this paper, we study a basic class of first order sampled-data control systems with unknown nonlinear structure and with sampling rate not necessarily fast enough, aiming at understanding the capability and limitations of the sampled-data feedback. We show that if the unknown nonlinear function has a linear growth rate with its "slope" (denoted by L) being a measure of the "size" of uncertainty, then the sampling rate should not exceed 1/L multiplied by a constant (≈ 7.53) for the system to be globally stabilizable by the sampled-data feedback. If, however, the unknown nonlinear function has a growth rate faster than linear, and if the system is disturbed by noises modeled as the standard Brownian motion, then an example is given, showing that the corresponding sampled-data system is not stabilizable by the sampled-data feedback in general, no matter how fast the sampling rate is.     

高阶随机非线性系统状态反馈镇定

针对一类高阶下三角随机非线性系统,提出一种新的镇定方案,采用增加一个幂积分的工具构建了一个全局稳定的光滑状态反馈控制律。通过反馈占有设计方法和Young不等式处理随机系统的非线性项,取消了对随机非线性系统反馈线性化和控制输入呈线性的要求,基于Lyapunov方法,证明了闭环系统依概率全局渐近稳定。最后,仿真实例说明了算法的可行性。     

基于观测器的一类不确定非线性系统自适应输出反馈控制

针对一类不确定非线性系统,基于非线性状态观测器采用回馈递推(Backstepping)设计方法提出了一种鲁棒自适应L2增益控制方案。该控制方案首先对系统的不可观测状态设计非线性状态观测器,在此基础上通过多步递推得到系统的控制律并设计了未知干扰的参数自适应律,使系统具有L2增益性能。同时把采用常规设计方法需要对过多参数进行辨识问题简化为只需对与未知干扰个数相同的参数进行辨识的问题,简化了控制器结构。最后通过仿真算例验证了所设计控制方案的有效性。     

Robust H2 control for uncertain sampled-data systems

A new approach is proposed for robust H2 problem of uncertain sampled-data systems. Through introducing a free variable, a new Lyapunov asymptotical stability criterion with less conservativeness is established. Based on this criterion, some sufficient conditions on two classes of robust H2 problems for uncertain sampled-data control systems are presented through a set of coupled linear matrix inequalities, Finally, the less conservatism and potential of the developed results are illustrated via a numerical example.     

Global input-to-state stabilization with quantized feedback for discrete-time piecewise affine systems with time delays

In this paper, global input-to-state stabilization with quantized feedback for discrete-time piecewise affine systems （PWA） with time delays are considered. Both feedback with time delays and feedback without time delays are considered. Piecewise quadratic ISS-Lyapunov functions are adopted. Both Lyapunov-Razumikhin and Lyapunov-Krasovskii methods are adopted. The theorems for global input-to-state stabilization with quantized feedback of discrete PWA systems with time delays are     

非线性时滞系统自适应输出反馈跟踪控制

针对一类参数化非线性时滞输出反馈系统,提出了一种自适应输出跟踪控制器的设计方案。引入时滞滤波器估计未知系统状态,采用backstepping技术设计控制律和参数自适应律,运用占优方法处理非线性时滞项,从而放宽了对非线性时滞函数的要求,实现了对给定目标轨线的全局渐近跟踪,同时保证闭环系统所有信号一致有界。基于Lyapunov-Krasoviskii泛函方法证明了整个闭环系统的稳定性。实例仿真说明了该方案的可行性。     

Parameterized design of nonlinear feedback controllers for servo positioning systems

1 .INTRODUCTIONServo positioning systems are universal in industrialenvironment , where fast and precise positioning iscritical for higher productivity and better quality .Linear control technologies have been playing anactive role for this purpose , while nonlinear con-trol is relatively naive and is now meticulouslyfinding applications in the real world. However ,asmart combination of linear and nonlinear controltechniques , which takes full advantage of bothtechniques ,can lead to a mor…     

动态输出反馈网络控制系统鲁棒控制器设计

研究了具有不确定时延的动态输出反馈网络控制系统鲁棒控制器设计问题.考虑小于等于一个采样周期的不确定时延,将动态输出反馈网络控制系统建模为含有不确定性的离散时变系统.利用Lyapunov理论和矩阵不等式方法,推导出系统鲁棒控制律存在的条件,并转化为矩阵不等式表示的可行性问题,从而可利用Matlab LMI工具箱来求解,以便构造鲁棒控制律.Matlab仿真算例说明分析方法和结果是有效可行的.     

State feedback stabilization for a class of nonlinear time-delay systems via dynamic linear controllers

The dynamic linear state feedback control problem is addressed for a class of nonlinear systems subject to time-delay. First, using the dynamic change of coordinates, the problem of global state feedback stabilization is solved for a class of time-delay systems under a type of nonhomogeneous growth conditions. With the aid of an appropriate Lyapunov-Krasovskii functional and the adaptive strategy used in coordinates, the closed-loop system can be globally asymptotically stabilized by the dynamic linear state feedback controller. The growth condition in perturbations are more general than that in the existing results. The correctness of the theoretical results are illustrated with an academic simulation example.     

基于 LMI的广义不确定时滞系统鲁棒H∞控制

针对一类广义不确定时滞系统,假定其中的不确定性是范数有界的和系统的状态是完全可测的,基于线性矩阵不等式(linearmatrixinequality,LMI),通过构造Lyapunov泛函,给出了一种鲁棒H∞状态反馈控制器的设计,仅通过求解相应的线性矩阵不等式就可得到鲁棒H∞状态反馈控制器。并证明了该方法不仅使得相应的闭环系统渐进稳定,又能保证闭环系统从扰动到受控输出之间传递函数的H∞范数不大于给定的指标值。用数值算例验证了所给方法的有效性。     

双线性系统的状态反馈预测控制

针对可输入输出(I/O)精确线性化的双线性系统,提出了一种直接的预测控制算法.这种算法应用状态反馈预测控制算法的思想,无需对双线性系统进行线性化,因而避免了线性化后再引入线性控制算法进行控制而带来的复杂运算,并且可以提高控制系统抑制未知干扰的能力,增强了系统的鲁棒性.给出了算法的使用条件和推导过程.仿真结果表明,新的算法控制效果良好.     

A Robust Output—Feedback Controller for a Class of Uncertain Nonlinear Systems

1　IntroductionRecently,the nonlinear output- feedback control problems are solved successfully by usingbackstepping for a class of nonlinear systems. The partialstate feedback control problemsolved in Jiang and Praly,1996 is more general than the output- feedback control problem.However,the assumptions made in the paper are too restrictive which does not only re-quire the existence of c,γ andψ1 to be ascertained a priori,but also require them to beknown for an unknown system. If c,γ can n…     

Robust H∞ controller design for sampled-data systems with parametric uncertainties

This article investigates the problem of robust H∞ controller design for sampled-data systems with time-varying norm-bounded parameter uncertainties in the state matrices. Attention is focused on the design of a causal sampled-data controller, which guarantees the asymptotical stability of the closed-loop system and reduces the effect of the disturbance input on the controlled output to a prescribed H∞ performance bound for all admissible uncertainties. Sufficient condition for the solvability of the problem is established in terms of linear matrix inequalities (LMIs). It is shown that the desired H∞ controller can be constructed by solving certain LMIs. An illustrative example is given to demonstrate the effectiveness of the proposed method.     

Robust H∞ control for a class of nonlinear singular system with uncertain parameters

The static output feedback H∞ control is explored for a class of nonlinear singular system with norm-bounded uncertainty. On certain suppose, the zero solution asymptotically stability is analyzed by means of Lyapunov function and Lyapunov stability theory. Based on which, a sufficient condition is presented such that the system is zero solution asymptotically stable and has H∞ norm constraint γ. Then, the static output feedback H∞ controller is designed to guarantee the resulting closed-loop system has the same performance. Finally, an example proves the effectiveness of the conclusion.     

STABILIZATION FOR A CLASS OF LARGE-SCALE STOCHASTIC NONLINEAR SYSTEMS WITH DECENTRALIZED CONTROLLER DESIGN

In this paper, a state feedback adaptive stabilization for a class of large-scale stochastic nonlinear systems is designed with Lyapunov and Backstepping method. In the systems there are uncertain terms, whose bounds are governed by a set of unknown parameters. The designed controllers would make the close-loop systems asymptotically stable and adaptive for the unknown parameters. As an application, a second order example is delivered to illustrate the approach.     

基于组合非线性反馈机器人控制吸引域评估

在机器人的关节空间轨迹控制跟踪控制中,全局渐近的控制方法在存在驱动器饱和与摩擦扰动时,很难得到理想的控制效果.针对组合非线性反馈与计算力矩相结合的控制方法,研究了机器人驱动器存在输入限制时的吸引域评估方法.用Ricatti方程迭代法设计线性增益,以获得尽量大的吸引域,仿真结果证明了所提方法的有效性.     

New criteria on delayed state feedback stabilization for stochastic systems with time-varying delay

The problems of robust exponential stability in mean square and delayed state feedback stabilization for uncertain stochastic systems with time-varying delay are studied.By using Jensen’s integral inequality and combining with the free weighting matrix approach,new delay-dependent stability conditions and delayed state feedback stabilization criteria are obtained in terms of linear matrix inequalities.Meanwhile,the proposed delayed state feedback stabilization criteria are more convenient in application than the existing ones since fewer tuning parameters are involved.Numerical examples are given to illustrate the effectiveness of the proposed methods.     

Universal construction of control Lyapunov functions for a class of nonlinear systems

A method is developed by which control Lyapunov functions of a class of nonlinear systems can be constructed systematically.Based on the control Lyapunov function,a feedback control is obtained to stabilize the closed-loop system.In addition,this method is applied to stabilize the Benchmark system.A simulation shows the effectiveness of the method.