一类非线性切换系统的稳定性分析

主要研究了一类非线性切换系统在某种切换律下的稳定性。证明了如果所有的子系统是线性时变的,并且在系统的Cauchy矩阵的范数满足某种条件的情况下,整个切换系统在任意切换律下是全局指数稳定的。研究了其带非线性扰动项的系统,在适当的假设下,建立了这种系统的全局稳定性特性。研究了某些子系统不满足上述Cauchy矩阵的范数条件的切换系统在某种切换律下的稳定性特性。     

时滞切换系统指数稳定性分析：Lyapunov-Krasovskii泛函方法

考虑由两个线性时滞子系统构成的切换系统,分析其在任意切换序列作用下保持指数稳定性的条件.分别利用二次型与逐段二次型的Lyapunov-Krasovskii泛函构造方式给出了以线性矩阵不等式所表述的稳定性判据;进而通过状态变量代换结合积分不等式技巧证明了指数衰减率对于所有切换序列一致成立,即其完全取决于系统的结构特征.最后给出了一个算例.     

关于一类线性时不变切换系统的脉冲控制

针对一类线性时不变脉冲切换系统,利用Lyapunov函数导出了一种有效的控制方法.首先,建立了这类系统在任意切换率下稳定与渐近稳定的充分条件;然后,给出了这类系统在设定的切换率下指数稳定的判别准则;最后,给出了一个数值例子及仿真来阐明结论的正确性.     

Impulsive controller design for nonlinear networked control systems with time delay and packet dropouts

The globally exponential stability of nonlinear impulsive networked control systems(NINCS) with time delay and packet dropouts is investigated.By applying Lyapunov function theory,sufficient conditions on the global exponential stability are derived by introducing a comparison system and estimating the corresponding Cauchy matrix.An impulsive controller is explicitly designed to achieve exponential stability and ensure state converge with a given decay rate for the system.The Lorenz oscillator system is presented as a numerical example to illustrate the theoretical results and effectiveness of the proposed controller design procedure.     

Exponential stability of linear distributed parameter switched systems with time-delay

In this paper, the exponential stability analysis for ODE switched systems with time delay is extended to distributed parameter switched systems (DPSS) in Hilbert space. For a given family of exponential stable subsystems, this paper focuses on finding conditions to guarantee the overall DPSS’ exponential stability. Based on semigroup theory, by applying piecewise Lyapunov-Krasovskii functionals method incorporated average dwell time approach, sufficient conditions for exponential stability are derived. These conditions are given in the form of linear operator inequalities (LOIs) where the decision variables are operators in Hilbert space, and the stability properties depend on switching rule. Being applied to heat switched propagation equations, these LOIs are reduced to standard Linear Matrix Inequalities (LMIs). Finally, a numerical example is given to illustrate the effectiveness of the proposed result.     

Delay-dependent exponential stability of impulsive stochastic systems with time-varying delay

The problem of delay-dependent exponential stability is investigated for impulsive stochastic systems with time-varying delay.Although the exponential stability of impulsive stochastic delay systems has been discussed by several authors,few works have been done on delay-dependent exponential stability of impulsive stochastic delay systems.Firstly,the Lyapunov-Krasovskii functional method combing the free-weighting matrix approach is applied to investigate this problem.Some delay-dependent mean square exponential stability criteria are derived in terms of linear matrix inequalities.In particular,the estimate of the exponential convergence rate is also provided,which depends on system parameters and impulsive effects.The obtained results show that the system will stable if the impulses’ frequency and amplitude are suitably related to the increase or decrease of the continuous flows,and impulses may be used as controllers to stabilize the underlying stochastic system.Numerical examples are given to show the effectiveness of the results.     

Robust exponential stabilization of uncertain nonholonomic chained systems based on visual feedback

The visual serving stabilization for a kind of nonholonomic mobile robots with uncalibrated camera parameters is investigated based on the visual feedback and the state and input transformations. The authors obtain a new uncertain model of the nonholonomic kinematic system in the image plane,which is a chained form with uncalibrated visual parameters,from the camera robotic system. A new time varying feedback controller is proposed for the exponential stabilization of the nonholonomic chained system with unknown parameters by using state-scaling and switching technique.The exponential stability of the closed loop system is rigorously proved.Simulation results demonstrate the effectiveness of the proposed methods.     

Study on Variation of Parameters Formula and Stability for Impulsive Time－Delay Nonlinear Large Scale Systems

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Stability of coupled impulsive Markovian jump reaction-diffusion systems on networks

This paper is devoted to the investigation of stability for a class of coupled impulsive Markovian jump reaction-diffusion systems on networks (CIMJRDSNs). By using graph theory, a systematic method is provided to construct global Lyapunov functions for the CIMJRDSNs. Based on Lyapunov functions and stochastic analysis method, some novel stability principles associated with the topology property of the networks are established.     

一类不确定混合线性时滞系统鲁棒控制问题研究

讨论了一类不确定混合线性时滞系统在其Markov跳跃参数所处模态非精确可测得情况下的鲁棒控制问题。给出了非匹配条件下系统不确定部分范数上界已知时,使系统呈均方意义下指数稳定的保代价控制充分条件。并根据混合系统模式下的LaSalle稳定性定理,对匹配条件下系统不确定部分的未知范数上界给出了一种参数自适应估计方法,设计了相应的鲁棒自适应控制律以实现混合线性时滞系统以概率1渐近稳定。鲁棒自适应控制律的设计仅依赖于跳跃参数的非精确测量值。     

基于时滞分割法的Markov随机切换系统指数稳定性

研究了时变时滞满足h₁≤d(t)≤h₂的Itô型随机Markov切换系统的区间时滞相关指数稳定性。基于时滞分割的思想,建立了新颖的Lyapunov-Krasovskii泛函,并引入一些改进的积分等式,以线性矩阵不等式的形式给出了低保守性的区间时滞相关指数稳定条件。最后用几个数值算例说明该结论的有效性及其较低的保守性。     

离散模糊双线性系统的稳定控制

提出了一种对一类离散模糊双线性系统(discrete-time fuzzy bilinear system,DFBS)稳定控制的新方法.首先,把DFBS转换成一个等价的切换DFBS.然后,基于分段Lyapunov函数,同时考虑同一个子空间内不同模糊子系统之间的相互作用,得到了闭环系统放松的渐近稳定的充分条件.采用锥补线性化(cone complemen-tarity linearization,CCL)算法将控制器的设计转化成一个受线性矩阵不等式(linear matrix inequality,LMI)约束的最小化问题.最后,由仿真数例说明了所提方法的有效性.     

Finite-time stability and stabilization of Markovian switching stochastic systems with impulsive effects

Many practical systems in physics,biology,engineering and information science exhibit impulsive dynamical behaviors due to abrupt changes at certain instants during the dynamical processes.The problems of finite-time stability analysis are investigated for a class of Markovian switching stochastic systems,in which exist impulses at the switching instants.Multiple Lyapunov techniques are used to derive sufficient conditions for finite-time stochastic stability of the overall system.Furthermore,a state feedback controller,which stabilizes the closed loop systems in the finite-time sense,is then addressed.Moreover,the controller appears not only in the shift part but also in the diffusion part of the underlying stochastic subsystem.The results are reduced to feasibility problems involving linear matrix inequalities (LMIs).A numerical example is presented to illustrate the proposed methodology.     

Global Exponential Stability of Variable Delay and Time－varying Measure Differential Systems with Impulse Effect

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不确定脉冲系统的鲁棒指数稳定性分析

对线性和非线性不确定脉冲系统的鲁棒指数稳定性问题进行了研究，利用拟Lyapunov函数法以及Riccati和Hamilton-Jacobi不等式等方法，分别得到了线性和非线性不确定脉冲系统鲁棒指数稳定的充分条件，这些鲁棒指数稳定性判据可用Riccati不等式方程或Hamilton-Jacobi不等式方程是否有正定解检验，最后，给出了一个实例加以验证所得到的结论。     

Mean Square Stability of Impulsive Stochastic Delayed Reaction-Diffusion Equations via Comparison Principle with Razumikhin Method

This paper investigates the mean square stability problem for impulsive stochastic delayed reaction-diffusion equations. By employing stochastic analysis theory, impulsive differential inequality technique and Razumikhin method, comparison principle for impulsive stochastic delayed reactiondiffusion equations is firstly established. Then, by using the comparison principle, some sufficient conditions are derived to ensure the mean square stability, mean square uniform stability, mean square asymptotic stability and mean square exponential stability of such systems. Finally, an example is provided to show the effectiveness of the proposed results.     

基于聚类方法和神经网络的非线性系统多模型自适应控制

针对具有参数跳变的非线性系统,联合聚类算法和神经网络提出新的多模型自适应控制方法。首先对系统的输入输出数据进行模糊聚类,然后基于递推最小二乘法建立多个固定模型。为提高系统的暂态性能,同时建立两个自适应模型,并在此基础上设计鲁棒自适应控制器。此外,为了补偿系统的非线性部分,建立非线性预测模型,并设计非线性神经网络自适应控制器。所提方法可使控制切换系统具有稳定性保证。最后,通过性能指标对控制器进行平滑切换。仿真结果表明,所提方法能够保证系统具有良好的控制性能。     

变体飞行器连续平滑切换LPV控制

针对一类翼展可变飞行器的控制问题,提出了一种连续平滑切换线性变参数(linear parameter varying, LPV)控制器的设计方法。将变体飞行器建模成以翼展变形率为时变参数的LPV系统,通过对时变参数进行具有重叠特性的区间划分,设计平滑切换控制器。结合参数依赖的多李雅普诺夫函数和平均驻留时间方法,给出了保证切换LPV系统指数稳定的充分条件。由于考虑了时变参数的渐变特性,使得系统的切换律没有平均驻留时间的限制,降低了结论的保守性。仿真结果表明,运用所设计的控制器,当翼展连续变化时,变体飞行器状态稳定且切换过程平滑,控制性能良好。     

具有非匹配不确定性相似组合系统的分散鲁棒控制

针对一类具有非匹配不确定性的相似组合系统 ,基于块控原理提出了一种变结构控制设计方法。不确定项存在于各子系统的互联项中 ,可以是非线性的或时变的 ,不满足匹配条件 ,但有界 ;利用反演设计方法来处理系统中的非匹配不确定性 ,再用变结构控制方法来改善系统的性能 ;然后 ,利用Lyapunov稳定性定理证明了闭环系统的信号为最终一致有界且系统的状态收敛于滑模超平面的邻域。最后 ,用一个仿真实例证明了所提出的方法的正确性和有效性。     

基于Robust优化的多链库存系统动态切换模型及仿真

以两个单链合作为出发点,基于合作的方式不同创建了多个子系统,并以此建立了多供应链不确定切换系统模型。为了抑制多供应链系统在链间合作过程中产生生产运作波动和牛鞭效应,运用鲁棒优化理论给出了多供应链系统的切换控制算法,以及基于计算机的控制实现方法。结合多模型切换系统运作过程,仿真并对比分析了该多供应链多模型切换系统控制在有无切换两种情形下系统的订货波动变化大小和牛鞭效应变化大小。仿真结果表明多模型切换控制方法应用于复杂多供应链库存管理系统,可以抑制牛鞭效应,同时提高系统市场快速响应能力和集群整体需求放大性。