不确定性离散时滞大系统的分散镇定控制

利用线性矩阵不等式方法研究了一类不确定离散大系统分散控制问题 ,且系统中具有时滞相关项。通过求解线性矩阵不等式 ,提出了系统可分散状态反馈镇定的充分条件 ,并给出了线性无记忆状态反馈分散控制器设计和优化方法。最后给出了数值算例以说明其可行性     

Decentralized Bezout Identity and a Parametrization of Decentralized Controllers for Singular Systems

1　 IntroductionConsider a singular decentralized control system of the formEx(t) =Ax(t) ∑Ni=1Biui(t)yi =Cix(t) ,i∈ N ={ 1 ,2 ,… ,N}(1 )where x(t)∈ Rn is the state vector,ui(t)∈ Rmi and yi(t)∈ Rpi are respectively the localcontrol input and measure outputvectors of the ith control channel.The matrix E may besingular,i.e.,rank(E) 相似文献   

真镇定广义系统分散正常动态补偿器的设计

讨论了前馈广义分散控制系统分散正常动态补偿器的设计问题,给出了一个使广义闭环系统真稳定的分散正常动态补偿器的一致设计方法．     

Decentralized Control for Similar Composite Systems with Interconnections Satisfying Interconnected Condition

1　ＩｎｔｒｏｄｕｃｔｉｏｎＴｈｅｃｏｎｔｒｏｌｓｙｓｔｅｍｈａｓｂｅｃｏｍｅｖｅｒｙｌａｒｇｅａｎｄｍｕｃｈｃｏｍｐｌｅｘｉｎｍｏｄｅｒｎｓｏｃｉｅｔｙａｎｄｓｃｉｅｎｃｅａｎｄｔｅｃｈｎｉｑｕｅ .Ｔｈｅｍｏｒｅｅｆｆｉｃｉｅｎｔｃｏｎｔｒｏｌｓｃｈｅｍｅｈａｓｂｅｅｎｎｅｅｄｅｄｔｏｃｏｎｔｒｏｌｔｈｅｓｅｃｏｍｐｌｉｃａｔｅｄｓｙｓ ｔｅｍｓ .Ｔｈｅｄｉｍｅｎｓｉｏｎｓｏｆｔｈｅｓｅｓｙｓｔｅｍｓａｒｅｖｅｒｙｈｉｇｈ ;ｔｈｅｉｎｔｅｒｃｏｎｎｅｃｔｉｏｎｓｂｅｔｗｅｅｎｔｈｅｓｕｂｓｙｓ …     

CRPD反馈下的广义分散控制系统固定模

本文讨论了CRPD反馈下广义分散控制系统的有穷固定模和分散正常控制系统的有穷固定模，脉冲固定模和分散正常化问题，得到了若干有意义的判据和结论，推广和充实了广义分散控制系统固定模理论。     

不确定关联时滞系统的分散可靠控制设计方法

研究一类不确定关联时滞系统的分散可靠控制设计问题。系统包含状态时滞,非线性扰动和参数不确定性。目的是利用LMI方法设计分散线性无记忆状态反馈控制器,使得对于任意容许的不确定性以及在每一个子系统中预先指定的执行器子集合内执行器的失效,相应的闭环系统渐近稳定。最后给出一个数值例子验证了所给结果的有效性。     

基于神经网络的机械臂分散自适应跟踪控制

提出了一种适用于机械臂的基于神经网络的分散自适应轨迹跟踪控制方法。将机械臂的轨迹跟踪控制系统考虑为由多个非线性关联组成的不确定性复杂系统,采用分散控制方法进行控制器设计。在对每一子系统设计控制器时,采用直接反馈线性化,利用控制器构建伪线性系统,并引入神经网络自适应环节消除干扰、关联及逼近误差,从而使所提出的控制方法能够保证系统状态有较高的跟踪精度,且算法简单,易于实现。仿真表明,该算法能保证较高的跟踪效果。     

Decentralized model reference adaptive sliding mode control based on fuzzy model

1.INTRODUCTIONIn recent years,decentralized control of interconnect-ed systems has become an i mportant and challengingtopic[1~3].However,it is usually difficult to modelthe systemexactly due to the complex real environ-ment.In the past several years,active research hasbeen carried out in controller design based on univer-sal approxi mators,such as fuzzy control and neuralnetwork control[4~6].For a class of SISO nonlinearsystems,adaptive fuzzy control approaches were pro-posed based on …     

基于LMI的连续时间模糊大系统的分散镇定

讨论了连续时间模糊大系统的分散镇定问题。整个模糊大系统由m个相互关联的T-S子模糊系统组成。基于李亚普诺夫稳定性理论及大系统分散控制理论,将单个模糊系统的稳定性条件推广到关联模糊大系统的情形,给出了保证该模糊大系统闭环渐近稳定的分散化并行分布补偿(decentralizedparalleldistributedcompensation,DPDC)控制器的设计方法。这些分散控制器的存在条件均以LMI的形式出现,因此可通过Matlab的LMI工具箱有效地对其进行求解。仿真例子说明了所提方法的有效性。     

Decentralized Variable Structure Control of Complex Giant Singular Uncertainty Systems

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Decentralized robust guaranteed cost control for a class of interconnected singular large-scale systems with time-delay and parameter uncertainty

The decentralized robust guaranteed cost control problem is studied for a class of interconnected singular large-scale systems with time-delay and norm-bounded time-invariant parameter uncertainty under a given quadratic cost performance function. The problem that is addressed in this study is to design a decentralized robust guaranteed cost state feedback controller such that the closed-loop system is not only regular, impulse-free and stable, but also guarantees an adequate level of performance for all admissible uncertainties. A sufficient condition for the existence of the decentralized robust guaranteed cost state feedback controllers is proposed in terms of a linear matrix inequality (LMI) via LMI approach. When this condition is feasible, the desired state feedback decentralized robust guaranteed cost controller gain matrices can be obtained. Finally, an illustrative example is provided to demonstrate the effectiveness of the proposed approach.     

Decentralized robust stabilization of discrete-time fuzzy large-scale systems with parametric uncertainties: a LMI method

1. INTRODUCTION Large-scale dynamic system theory has been intensi- vely studied during the past decade[1～3], but for fuzzy large-scale systems, namely large-scale systems comp- osed of a series of fuzzy subsystems, has been seldom done in literature. In Ref.[4], decentralized stabiliz- ation problem of fuzzy large-scale systems composed of a series of fuzzy subsystems was considered. Sufficient conditions for asymptotic stability of the fuzzy large-scale system and design methods of dec…     

广义分散控制系统的闭环正则性

分别从静态分散输出反馈、动态分散输出反馈和混合型分散输出反馈的角度讨论了广义分散控制系统的闭环正则性问题，相应得到了广义分散控制系统在这种不贩馈形式下可闭环正则的判别条件及相互关系.     

基于期望传播的分布式信号检测算法

针对大规模集中式天线阵列带来的硬件开销大与信号检测复杂度高等问题, 研究了期望传播算法在分布式广义线性模型中的应用, 提出了一种基于分布式的信号检测方案。首先将大规模天线阵列均分为多个独立并行的子阵列, 并在每个子阵列中独立地进行消息迭代更新, 再由一个集中处理模块对消息进行汇总, 直至迭代完成。仿真结果表明, 与期望一致信号检测算法相比, 提出的算法在降低计算复杂度的同时能够维持良好的检测性能, 研究表明该算法能够较好地适用于分布式广义线性模型。     

Decentralized network management based on mobile agent

The mobile agent technology can be employed effectively for the decentralized management of complex networks. We show how the integration of mobile agent with legacy management protocol, such as simple network management protocol (SNMP), leads to decentralized management architecture. HostWatcher is a framework that allows mobile agents to roam network, collect and process data, and perform certain adaptive actions. A prototype system is built and a quantitative analysis underlines the benefits in respect to reducing network load.     

基于模糊逻辑系统的复杂相似系统分散全息控制设计

针对复杂系统提出信息库的概念，以此为基础描述了复杂相似系统的概念。针对一类具有相似结构的、由二维子系统组成的复杂系统，采用经典Lyapunov方法和模糊逻辑系统，充分利用相似结构信息和匹配系数，分别给出了设计被控复杂系统镇定和跟踪分散全息控制器的方法。实例仿真结果表明本文所提出的方法是有效的。     

Decentralized and overall condition monitoring system for large-scale mobile and complex equipment

It is an urgent project to realize online and overall condition monitoring and timely fault diagnosis for large-scale mobile and complex equipment. Moreover, most of the existing large-scale complex equipment has quite insufficient accessibility of examination, although it still has quite a long service life. The decentralized and overall condition monitoring, as a new concept, is proposed from the point of view of the whole system. A set of complex equipment is divided into several parts in terms of concrete equipment. Every part is processed via one detecting unit, and the main detecting unit is connected with other units. The management work and communications with the remote monitoring center have been taken on by it. Consequently, the difficulty of realizing a condition monitoring system and the complexity of processing information is reduced greatly. Furthermore, excellent maintainability of the condition monitoring system is obtained because of the modularization design. Through an application example, the design and realization of the decentralized and overall condition monitoring system is introduced specifically. Some advanced technologies, such as, micro control unit (MCU), advanced RISC machines (ARM), and control area network (CAN), have been adopted in the system. The system's applicability for the existing large-scale mobile and complex equipment is tested.     

异质产品Bertrand寡头竞争企业分散授权横向兼并效应分析

针对异质产品寡头Bertrand竞争市场,建立了一个替代性产品企业分散授权横向兼并Betrand竞争博弈模型,分析了企业采用分散授权横向兼并模式时的效应问题.证明企业具有较大的采用分散委托授权模式兼并动力,且产品替代性程度越高,兼并动力越大;但企业分散委托授权兼并模式兼并动力比集中委托授权兼并模式稍弱一些,讨论了企业采用分散授权兼并模式时,兼并后各企业的内部激励机制调整问题,证明兼并企业采用的激励机制与未兼并企业所采用的激励机制有明显差异,兼并企业所采用的激励机制其攻击性显著减弱,而未兼并企业所采用的激励机制其攻击性仅略有减弱.     

一种分散式空间服务网络模型

提出分散式空间服务网络模型来克服空间服务宿主服务器间的"孤岛"状态以及网络的伸缩性障碍。以Super Geo-Peer、Basic Geo-Peer和Inferior Geo-Peer分别建模不同能力的空间服务宿主服务器和空间服务消费者。在分散式空间服务网络模型的服务发现过程中,建立关于Super Geo-Peer和Basic Geo-Peer间比率的系统代价模型,并推导出满足最小系统代价的最佳比率。在此基础上,给出了一种维护分散式空间服务网络系统的可选方案。     

Decentralized Control of Discrete-Time System with Delay in Mean Field LQR Problem

This paper studies the decentralized optimal control of discrete-time system with input delay,where a large number of agents with the identical decoupling dynamical equations and the coupling cost function through the mean field are considered.The decentralized and centralized optimal controllers are proposed by the optimal tracking control of LQR problem with delay.They are proved that the optimal controllers and the optimal cost function of the centralized and decentralized solutions are equivalent for the optimal control problem.An illustrative example is given to show the efficiency of the decentralized optimal controllers.