参数不确定非线性组合大系统的鲁棒稳定性及参数鲁棒域的估计

本文研究了参数不确定非线性组合大系统。首先利用现代微分几何理论将系统化为由线性子系统互联而成的组合大系统，然后给出了参数不确定非线性组合大系统鲁棒稳定性的若干判据。最后通过一个例子说明了本文的结论及参数鲁棒域的估计方法。     

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．     

不确定系统的鲁棒严格正实镇定问题

本文考虑的鲁棒严格正实镇定问题是指如何设计一固定控制器不仅能在单位反馈下鲁棒镇定一个不确定系统,而且还能使其闭环系统传递函数是鲁棒严格正实的.本文内容包括:1.建立不确定系统的鲁棒严格正实镇定准则,2.给出控制器的综合方法,3.简介其结果在非线性控制系统鲁棒渐近超稳定方面的应用.     

不确定非线性系统的鲁棒适应H_∞几乎干扰解耦问题

本文研究了带有不确定参数的非线性系统的鲁棒适应 H∞ 控制的几乎干扰解耦问题 .运用改进的加幂积分器技巧与递归设计方法 ,构造性地设计了一种光滑鲁棒动态反馈控制律 ,在保证闭环系统内稳定的基础上 ,使系统达到干扰衰减 .     

多工作点加速度计组合件高精度鲁棒温度控制

将存在多个工作环境的加速度计组合件温度控制受控对象描述为存在有界时变参数摄动和有界干扰的非线性时变不确定系统,提出了一种基于信号补偿的鲁棒温度控制方法,该方法设计的控制器由标称控制器和鲁棒补偿器组成.证明了闭环系统的鲁棒控制特性,实验结果显示所设计的控制系统能够在多个工作环境下实现高精度的鲁棒温度控制.     

模型不确定非线性随机系统的鲁棒性能准则设计

对于一类模型不确定非线性随机系统,用耗散性的观点发展了鲁棒性能准则理论.特别地,将确定性非线性系统理论中的耗散性概念引入到模型不确定随机非线性系统中,并以此作为基础来发展H∞理论.在精确模型随机非线性系统H∞基础上,建立了模型不确定系统L2增益和HJI不等式的可解性的关系.由于HJI偏微分方程难于求解,考虑模型参数满足某种适当匹配条件的系统的鲁棒性能准则问题,我们不需要通过求解HJI方程就可以得到此类系统的H∞控制律.     

不确定线性时滞中立系统的鲁棒无源控制

研究了带有中立和离散滞后的不确定中立系统的鲁棒无源控制．设计了使不确定时滞中立系统鲁棒稳定和无源的状态反馈控制器．通过线性矩阵不等式和Lyapunov函数，在系统的时间滞后和不确定参数范数有界的约束条件下，给出了系统无源稳定的条件和期望的状态反馈控制器的表达式．最后给出的数值例子说明了设计方法的有效性．     

一般Lurie系统的鲁棒绝对稳定新准则(英文)

本文讨论了具多非线性模不确定的一般Lurie系统的鲁棒问题.用Lyapunov函数方法,得到了一些新的鲁棒绝对稳定代数准则,这些准则减少了现有的结果的保守性.     

关于高阶不确定非线性系统的鲁棒适应干扰衰减问题

研究一类高阶不确定非线性系统的鲁棒适应H∞干扰衰减问题。本质改进了加幂积分器技巧及backstepping算法,并设计出一个光滑鲁棒适应动态反馈控制律,使得闭环系统既具有内稳定性,又使系统达到干扰衰减．所得结果改进了相关文献中的结论．     

一类含任意大不确定参数的非线性多智能体的协同输出调节问题

相对阶大于1的非线性多智能体的全局鲁棒协同输出调节问题需要用递归方法构造出分布式控制器.当系统的不确定参数和外加输入可以任意大时,单凭鲁棒控制技术不足以解决问题.本文尝试结合鲁棒与自适应动态高增益等控制技术来解决相对阶为2的输出反馈型非线性多智能体系统在不确定参数和外加输入可以任意大时的全局鲁棒协同输出调节问题.本文的理论结果已应用于求解超混沌(hyper-chaotic)Lorenz多智能体系统的一致性分布控制问题.     

Sufficient conditions for robust stability of large-scale dynamical systems including delayed states and parameter perturbations in interconnections

The problem of the robust stability of large-scale dynamical systems including delayed states and parameter perturbations in interconnections is considered. By using algebraic Riccati equations and some analytical methods, some sufficient conditions on linear decentralized state feedback controllers are derived so that the systems remain stable in the presence of delayed states and parameter perturbations. Such conditions give some bounds on the perturbations of interconnections with delayed states and uncertain parameters, and result in a quantitative measures of robustness for large-scale dynamical systems including delayed states and uncertain parameters in interconnections. The results obtained in this paper are applicable not only to large-scale systems with multiple time-varying delays, but also to large-scale systems without exact knowledge of the delays, i.e., large-scale systems with uncertain delays.     

Decentralized robust control for a class of uncertain large-scale interconnected nonlinear dynamical systems

The problem of the decentralized robust control for a class of large-scale interconnected nonlinear dynamical systems with input interconnection and external interconnection perturbations is considered. Based on the stabilizability of each nominal isolated subsystem (i.e., the isolated subsystem in the absence of interconnection perturbations), a class of decentralized local state feedback controllers is proposed, and some sufficient conditions are derived by making use of the Lyapunov stability criterion such that uncertain large-scale interconnected systems can be stabilized asymptotically by these decentralized state feedback controllers. For large-scale systems with only input interconnection perturbations, such decentralized controllers become a class of decentralized stabilizing state feedback controllers. That is, the decentralized stability of such large-scale systems can be guaranteed always by using the decentralized state feedback controllers proposed in the paper. Finally, a numerical example is given to demonstrate the validity of the results.     

Robust decentralized adaptive control for uncertain large-scale delayed systems with input nonlinearities

The paper is concerned with the problem of robust stabilization for uncertain large-scale time-varying delayed systems with input nonlinearities. Based on the sliding mode control, a memoryless decentralized adaptive sliding mode controller (DASMC) is developed. The proposed controller ensures the occurrence of the sliding manifold of the composite system even subjected to input nonlinearity. It shows that the uncertain nonlinear large-scale system also possesses the property of insensitivity to uncertainties and disturbances as a linear system does. A numerical example is given to verify the validity of the developed memoryless DASMC.     

Decentralized Adaptive Robust State Feedback for Uncertain Large-Scale Interconnected Systems with Time Delays

The problem of the decentralized robust control is considered for a class of large-scale time-varying systems withdelayed state perturbations and external disturbances in the interconnections. Here, the upper bounds of the delayed stateperturbations and external disturbances in the interconnections are assumed to be unknown. Adaptation laws areproposed to estimate such unknown bounds; by making use of the updated values of the unknown bounds, decentralized linear and nonlinear memoryless robust state feedback controllers are constructed. Based on Lyapunov stability theoryand Lyapunov–Krasovskii functionals, as well as employing the proposed decentralized nonlinear robust state feedback controllers, it is shown that the solutions of the resulting adaptive closed-loop large-scale time-delay system can be guaranteed to be uniformly bounded and that the states converge uniformly and asymptotically to zero. It is also shown that the proposed decentralized linear robust state feedback controllers can guarantee the uniform ultimate boundedness of the resulting adaptive closed-loop large-scale time-delay system. Finally, a numerical example is given to demonstrate the validity of the results.     

Partial exponential stability of nonlinear time-varying large-scale systems

In this paper, theorems concerning the partial exponential stability and globally partial exponential stability of nonlinear time-varying large-scale systems are obtained via both scalar and vector Lyapunov function methods and both scalar and vector comparison technique. By describing high-order systems as collections of lower interconnected subsystems so that the partial exponential stability and globally partial exponential stability property of isolated subsystems infers the same property of the over-all system, these theorems obtained here extend and complemented the relevant known results and enriched the contents of the partial exponential stability theory for nonlinear time-varying large-scale systems. Finally, two numerical examples are presented to illustrate the effectiveness of the results.     

具有非线性扰动的线性多时变时滞系统的鲁棒稳定性

采用了一类新型积分等式,研究了具有非线性扰动的线性多时变时滞系统的时滞相关鲁棒稳定性问题,并推广得到一般的时滞相关－时滞变化率无关的鲁棒稳定性条件.数值实例表明,稳定性条件的保守性也有所减少.     

Decentralized Stabilizing State Feedback Controllers for a Class of Large-Scale Systems Including State Delays in the Interconnections

The problem of the decentralized stabilization of a class of large-scale nonlinear and linear systems including time-varying delays in the interconnections is considered. By combining the Razumikhin-type theorem with the Lyapunov stability theory, we propose a class of decentralized state feedback controllers which can guarantee always some type of stability of large-scale time-delay systems. In this paper, we assume that the time-varying delays are continuous and bounded nonnegative functions. Furthermore, since the proposed decentralized state feedback controllers are independent of the delays, the results obtained in this paper are applicable to systems without exact knowledge of the delays, i.e., systems with perturbed delays. Finally, a numerical example is given to demonstrate the validity of the results.     

Aggregation and stability analysis of nonlinear complex systems

The problem of stability of large-scale systems in critical cases is investigated. New form of aggregation for essentially nonlinear complex systems is suggested. With the help of this form the sufficient conditions of asymptotic stability are determined. The results obtained are used for the stability analysis of complex systems by the nonlinear approximation and for the investigation of absolute stability conditions for a certain class of nonlinear systems.     

未知死区输入高阶关联大系统的全局稳定分散控制

针对一类具有未知非线性死区输入的高阶关联大系统,设计了一种新的分散控制方法。该方法基于模糊滑模控制原理,确保所设计的分散控制器能使各个子系统仅根据自己的信息就能确定相应的控制量,真正实现分散控制。Lyapunov稳定理论分析证明了闭环系统的全局稳定性,跟踪误差收敛到零,并且给出了全局一致终结有界的相关界。仿真结果表明了所设计方法的有效性。     

一类不确定性非线性系统的状态反馈鲁棒自适应控制器的设计与分析

该文考虑一类具有一般不确定性和部分参数未知的非线性系统（1），设计出一种用于跟踪参考信号的状态反馈鲁棒自适应控制器，此控制器对系统参数和状态的不确定性具有鲁棒性，能保证闭环系 统的全局稳定性，并解决了ε 跟踪问题. 仿真结果表明，所设计的鲁棒自适应控制系统具有良好的跟踪性能， 而且控制量在容许控制的范围之内.