一类时滞非完整系统的反馈控制问题的研究

针对一类具有时滞项的非完整系统,研究了其反馈控制器的设计问题.采用状态转换技术和反推方法,设计了不依赖于时滞的反馈控制器.同时为了处理初值为零的情况,提出了一种新颖的基于第一个子系统输出值的切换控制策略,最后通过仿真算例说明了控制器的有效性.     

更一般高阶非完整系统的指数调节

研究了一类更具有一般性的强漂移高阶非完整系统的指数调节问题.首先通过指数形式的input-state-scaling不连续变换将原x子系统的指数调节问题转化为变换后z子系统的镇定问题,并有效克服x子系统在控制输入u₀=0时不能控的问题.然后基于"加幂积分器"反推方法设计鲁棒控制器,在新的切换策略下,使闭环系统状态指数收敛到零点.仿真例子验证了所提方法的有效性.     

高阶不确定非线性系统切换自适应镇定

研究了一类控制系数未知高阶不确定非线性系统的全局自适应稳定控制设计问题.值得指出的是,更高的系统幂次和未知的控制系数显示系统容许更强的非线性和更严重的不确定性/未知性,因而所研究的系统更具一般性.这里不是采用传统自适应技术,而是通过灵活运用基于切换的自适应技术和增加幂积分方法,给出了该控制问题的结构简单且易于实现的新型切换自适应控制器.所设计控制器保证闭环系统状态全局有界且最终趋于零.     

一类具有零动态不确定非线性系统的有限时间镇定问题

研究了一类带有零动态不确定非线性系统的有限时间镇定问题.基于有限时间稳定的Lyapunov理论和反推技术给出了一个状态反馈控制器的设计步骤,解决了这类不确定非线性系统的有限时间镇定问题.     

不确定非完整系统的鲁棒适应控制

研究了一类带有不确定参数以及强非线性干扰项的链式非完整系统的鲁棒适应控制问题A·D2利用State-scaling和back-stepping技巧,构造性地给出了一种使系统镇定的反馈设计方法,使闭环系统指数稳定．     

高阶非完整系统的适应调节

通过综合利用“加幂积分器”的方法、“不连续投影”技巧和state scaling技巧构造出了一个不连续的动态适应控制律,解决了一类高阶参数非完整系统的适应调节问题．且所求控制律能确保未知参数的估值在一个预先给定范围内．     

切换多项式非线性系统的输入-状态稳定性

利用耗散不等式研究了切换多项式非线性系统的输入-状态稳定性分析问题,在任意切换信号下,给出了使得切换多项式非线性系统输入-状态稳定的充分条件.采用平方和分解方法来寻找切换多项式非线性系统的输入-状态稳定共同Lyapunov函数.数值算例验证了所提方法的可行性.     

不确定变时滞Lurie切换系统的H_∞记忆输出反馈控制

在基于Lyapunov-Krasovskii泛函、Schur补引理及矩阵不等式方法下,讨论了一类具有变时滞不确定性Lurie切换系统,在切换状态输出反馈策略下,得到了鲁棒H_∞控制性能要求下可行解存在的充分性判据,为系统的综合提供了可行性判据.设计了有记忆的输出反馈控制器以及切换规则,且有记忆控制器的设计,为系统的稳定性分析及控制器的综合提供了更多的自由度,最后的结果转化为线性矩阵不等式给出,通过数值仿真,验证了定理的有效性和实用性.     

非线性奇异摄动系统的反馈控制

本文对一类多输入多输出非线性奇异摄动系统 ,构造了具有良好性态的状态反馈控制律 ,从而保证了闭环系统的稳定和良好的输入输出特性 .     

一类非仿射不确定非线性系统的自适应模糊输出反馈控制

针对一类非仿射的不确定非线性系统,利用H∞控制技术和模糊系统,提出一种基于观测器的混合的直接自适应模糊控制方法,该方法不需要系统的状态变量完全可测,同时取消了最优逼近误差平方可积的假设条件,而且跟踪误差渐近收敛到零。仿真结果表明所提设计方法的有效性。     

Constrained Minimum-Time-Oriented Feedback Control for the Stabilization of Nonholonomic Systems in Chained Form

In this paper, a discontinuous state-feedback law is proposed for the stabilization of nonholonomic systems in power form. The feedback law is based on a receding-horizon strategy in which the open-loop optimization problem is a minimum-time steering process. Suboptimal formulations are used explicitly to meet the real-time implementability requirements. Stability is established in a sampled-data context and illustrative simulations are given to show the effectiveness and the real-time implementability of the proposed scheme.     

LMI Approach to Output Feedback Control for Linear Uncertain Systems with D-Stability Constraints

This paper deals with the problem of designing output feedback controllers for linear uncertain continuous-time and discrete-time systems with circular pole constraints. The uncertainty is assumed to be norm bounded and enters into both the system state and input matrices. We focus on the design of a dynamic output feedback controller that, for all admissible parameter uncertainties, assigns all the closed-loop poles inside a specified disk. It is shown that the problem addressed can be recast as a convex optimization problem characterized by linear matrix inequalities (LMI); therefore, an LMI approach is developed to derive the necessary and sufficient conditions for the existence of all desired dynamic output feedback controllers that achieve the specified circular pole constraints. An effective design procedure for the expected controllers is also presented. Finally, a numerical example is provided to show the usefulness and applicability of the present approach.     

Guaranteed Output Feedback Control for Uncertain Systems under Control and State Constraints

This paper deals with output feedback control of uncertain nonlinear dynamic systems in the presence of state and control constraints. We provide necessary and sufficient conditions for the guaranteed viability property defined by the existence of a Lipschitz closed-loop that maintains exactly the state of the system in a given closed domain of constraints despite some bounded disturbances acting both on the dynamics and on the output. Using the notion of Lipschitz kernel of a closed set-valued map, we obtain some equivalent geometric and Hamilton–Jacobi–Isaac conditions for the guaranteed viability property. We derive an algorithm to build a guaranteed viable output feedback.     

一类不确定双线性系统的状态反馈Robust控制*

本文针对一类含不确定性的双线性系统设计了一种线性状态反馈控制.在一定的条件下,利用改进的李雅普诺夫第二方法关于稳定性的理论,证明了系统的稳定性.并给出例子说明.     

Adaptive output feedback asymptotic stabilization of nonholonomic systems with uncertainties

A global adaptive output feedback control strategy is presented for a class of nonholonomic systems in generalized chained form with drift nonlinearity and unknown virtual control parameters. The purpose is to design a nonlinear output feedback switching controller such that the closed-loop system is globally asymptotically stable. By using the input-state scaling technique and an integrator back-stepping approach, an output feedback controller is given. A filter of observer gain is introduced for state and parameter estimates. Meanwhile, in order to avoid the over-parameters, a tuning function technique is utilized. A novel switching control strategy based on the output measurement of the first subsystem rather than time is used to overcome the uncontrollability of the x₀-subsystem in the origin. The proposed controller can guarantee that all the system states globally converge to the origin, while other signals maintain bounded. The numerical simulation testifies the effectiveness.     

一类高阶非完整系统的鲁棒适应模糊控制

针对一类带有强漂移项的高阶非完整系统,基于后推设计方法,input-state-scaling变换技巧和模糊系统的逼近能力提出了一种新的自适应控制方案.该方案保证闭环系统的所有信号最终一致有界,且系统的状态收敛到零的一个小邻域内.     

Guaranteed Cost Control for a Class of Uncertain Stochastic Impulsive Systems with Markovian Switching

Abstract

This article is concerned with the problem of guaranteed cost control for a class of uncertain stochastic impulsive systems with Markovian switching. To the best of our knowledge, it is the first time that such a problem is investigated for stochastic impulsive systems with Markovian switching. For an uncontrolled system, the conditions in terms of certain linear matrix inequalities (LMIs) are obtained for robust stochastical stability and an upper bound is given for the cost function. For the controlled systems, a set of LMIs is developed to design a linear state feedback controller which can stochastically stabilize the class of systems under study and guarantee the given cost function to have an upper bound. Further, an optimization problem with LMI constraints is formulated to minimize the guaranteed cost of the closed-loop system. Finally, a numerical example is provided to show the effectiveness of the proposed method.     

Relaxed LMI Condition for Output Feedback Guaranteed Cost Control of Uncertain Discrete-Time Systems

This paper studies the output feedback guaranteed cost control for a class of uncertain discrete-time systems. The uncertainty is of the linear fractional form. A new relaxed LMI condition is given based on a recently developed stability condition. An extra variable is introduced to obtain a less conservative result. The effectiveness of the method is illustrated with an example to compare with previous results. This work was supported in part by the National Science Foundation of China, Grant 10472001.