Solvability and control design for synchronization of Boolean networks

This paper addresses the synchronization problem of Boolean networks. Based on the matrix expression of logic, solvability conditions and design procedures of the synchronization of Boolean networks with outputs are given for both open-loop and feedback control. Necessary and sufficient conditions on open-loop control are proposed first with a constructive design procedure. Then sufficient condition for the feedback control case is obtained, and corresponding design procedure is proposed with the help of algorithms to solve logic matrix equations. Numerical examples are also provided to illustrate the proposed control design.     

受约束的非线性系统的可解性

本文研究了具有状态约束的非线性系统的可解性问题，给出了在等式约束和不等式约束条件下非线性系统解存在的充分必要条件。     

带约束的时变的非线性系统的可解性

本文研究了带有状态的约束的非线性系统的可解性问题，给出了在等式约束和不等式约束条件下非线性系统解存在的必要条件和充分必要条件.     

Combat network link prediction based on embedding learning

Link prediction of combat networks is of significant military value for precisely identifying the vital infrastructure of the enemy target and optimizing the op...     

地空导弹火力单元最佳兵力机动线路的选择

地空导弹火力单元兵力机动线路的选择是一个多因素评价问题。给出了影响地空导弹营火力单元兵力机动线路选择的因素 ,主要包括兵力机动线路的长度、线路的路况、隐蔽性、地空导弹武器系统的机动性和防护能力。其中路况因素由线路的路面、天气状况及交通情况决定。以这些因素为指标 ,采用二级模糊评判原理对兵力机动线路进行综合评判 ,给出兵力机动线路的等效线路长度 ,利用动态规划算法求解兵力机动的最佳线路 ,最后给出算法的一个实例     

APPROXIMATE OUTPUT REGULATION FOR AFFINE NONLINEAR SYSTEMS

Output regulation for affine nonlinear systems driven by an exogenous signal is investigated in this paper. In the absence of the standard exosystem hypothesis, we assume availability of the instantaneous values of the exogenous signal and its first time-derivative for use in the control law. For affine nonlinear systems, the necessary and sufficient conditions of the solvability of approximate output regulation problem are obtained. The precise form of the control law is presented under some suitable assumptions.     

A Guaranteed Cost Approach to Dynamic Output Feedback Control for Neutral-Type Markovian Jumping Stochastic Systems

This paper is devoted to investigating the dynamic output feedback(DOF) control problem of Markovian jump neutral-type stochastic systems with a guaranteed cost function. Both of the state and measurement equations contain time delays. Mode-dependent DOF controllers are first designed such that the closed-loop system is asymptotically stable in mean-square and an adequate performance level of this system is guaranteed. Then, sufficient conditions for the solvability of this problem are derived in the form of linear matrix inequalities(LMIs). A numerical example is presented to reveal the effectiveness of our findings.     

串行分布式检测最优化研究

多传感器组网工作是众多领域的共同发展趋势。分布式处理是它的重要特征。本文针对检测问题（二元假设检验），就串行方案组网分布式检测的最优化问题进行了研究，得到了最优化条件和方程，并分析了组网工作性能。     

Fixed-Order l_1-Control for Systems with Time-Delay

1. INTRODUCTIONPhysical plaaes are inevitably affected by exogenous disturbance, hence rejecting disturbanceis important. Ffor example, HOO-control systems can reject the LZ disturbance. But in factthere are maily species of disturbances: some are LZ-attenuation; some are stochastic; andsome are Loo(loo) [6]. If the exogenous disturbance is modeled as the energy-bounded signal, and the performance is the output energyt that is Hoo problem. If the performance isoutput energy, that is p…     

基于蚁群优化算法的无线传感器网络路由协议

提出了一种基于蚁群优化算法的无线传感器网络路由协议RPBAA.该协议通过修改蚁群优化算法以适应无线传感器网络无全局标识、节点较少移动、资源受限等特性,提供了一种智能、动态、可扩展的多径选路传输方法来获取有效且健壮的通信,并通过全网能量均衡使用以最大化网络生命期,另外引入了数据分片机制来进一步优化选路效率.最后通过仿真验证了RPBAA协议的有效性和数据分片机制带来的好处.     

知识型企业生命体持续生存与发展的多Agent综合诊断因果网络模型

基于知识型企业生命体持续生存与发展必备的条件与品质,构造相应的领域诊断Agent和生命体综合诊断Agent,研究了基于因果网络模型的领域诊断Agent的诊断机制,给出了知识型企业生命体的多Agent综合诊断系统的结构和综合诊断机理.     

Observer-based fault detection scheme for a class of discrete time-delay systems

In this contribution, robust fault detection problems for discrete time-delay systems with l2-norm bounded unknown inputs are studied. The basic idea of our study is first to introduce a state-memoryless observer-based fault detection filter (FDF) as the residual generator and then to formulate such a FDF design problem as an Hen optimization problem in the sense of increasing the sensitivity of residual to the faults, while simultaneously enhancing the robustness of residual to unknown input as well as plant input. The main results consist of the formulation of such a residual generation optimization problem, solvability conditions and the derivation of an analytic solution. The residual evaluation problem is also considered, which includes the determination of residual evaluation function and threshold. A numerical example is used to demonstrate the proposed fault detection scheme.     

On the exponential stability of neural networks systems with time-varying delay

In this paper, exponential stability of Hopfield-type neural networks with time-varying delays are analyzed. By using the Lyapunov functional method, sufficient conditions are obtained for general exponential stabilities. At the same time, the output functions do not satisfy the Lipschitz conditions and do not require them to be differential or strictly monotonously increasing. Moreover, all results are established without assuming any symmetry of the connection matrix.A numeric example is pressented to show the effective of these criteria.     

非均衡模型的可解性研究

本文研究了多市场非均衡模型（ＭＤＥＭ）的可解性问题，给出微观ＭＤＥＭ可解性的一个充要条件；推广了Ｉｔｏ［１］的充分条件；对具有Ｂｕｒｋｅｔｔ双曲线聚合［２］和Ｌａｍｂｅｒｔ指数聚合［３］两类非线性形式的宏观ＭＤＥＭ，分别给出其可解性的一个充分条件，并探讨ＭＤＥＭ中一类线性溢出效应的微观基础，Ｉｔｏ［１］所分析的双市场情形是其特例．     

基于改进遗传算法的多类测控资源调度方法

为了研究一类利用不同测控(telemetry, track and command, TT&C)网联合执行TT&C任务的多类TT&C资源联合调度问题, 首先对国有和商业TT&C网的不同特点进行归纳总结。其次，对问题中的约束条件进行分析和规范化描述, 并在满足所选约束的前提下, 建立问题的数学模型。进而根据问题特点, 以遗传算法为基础, 通过设计适当的编码方法和交叉、变异算子以及约束冲突处理方法, 提出一种改进遗传算法。最后，实例仿真表明, 引入的多类TT&C资源联合调度方法较传统未引入联合调度的方法能有效提高TT&C资源利用效率, 证明了所提算法求解此类TT&C调度问题具有较好的性能。     

现代物流管理系统的复杂性分析

加强现代物流管理是当代企业降低生产成本、提高生产效率的重要途径。对物流管理系统组成的多元复杂性、功能的整体相干性、运作机制的随机动态性和开放性等特征进行了分析 ,以求对物流管理系统有一个客观全面的认识。     

多种攻击策略下无标度网络修复策略

为了更有效地对遭受攻击的复杂网络进行修复,需要寻求各种攻击策略下最有效的修复策略。分析了复杂网络的三种攻击策略：随机失效、故意攻击和不完全信息下的攻击。建立了复杂网络的修复模型,在此基础上定义了三种修复策略：平均修复策略、重点修复策略和偏好修复策略。以无标度网络(BA模型)为例,运用仿真方法研究了三种修复策略在不同攻击策略下的适用性,给出了各种攻击策略下最有效的修复策略。     

Robust H∞ filtering for discrete-time systems with Markovian switching and time-delays

The robust H∞ filtering problem for uncertain discrete-time Markovian jump linear systems with modedependent time-delays is investigated. Attention is focused on designing a Markovian jump linear filter that ensures robust stochastic stability while achieving a prescribed H∞ performance level of the resulting filtering error system, for all admissible uncertainties. The key features of the approach include the introduction of a new type of stochastic Lyapunov functional and some free weighting matrix variables. Sufficient conditions for the solvability of this problem are obtained in terms of a set of linear matrix inequalities. Numerical examples are provided to demonstrate the reduced conservatism of the proposed approach.     

粗集与神经网络的集成技术研究

粗集和神经网络都是处理不确定、不完全信息的软计算方法 ,两者曾在决策支持和知识获取等领域取得了很大的成功并得到初步应用。但两者都有局限性 ,同时在许多方面有互补性。因此粗集和神经网络的集成成为当今智能混合系统的一个重要分支 ,或许也是开发下一代专家系统的主流技术。从认识论的角度分析了粗集和神经网络的特点 ,评述了目前粗集和神经网络集成的理论和方法 ,指出其中存在的主要不足。最后提出了粗集和神经网络进一步集成所需解决的问题。     

基于PA的卫星网络动态带宽分配在线算法及仿真

为解决卫星网络带宽分配问题,基于离散事件动态系统理论中的PA方法,提出了一种在线算法.该算法把动态带宽分配问题描述为约束优化问题,以一次计算机仿真的数据为基础,通过PA方法求出网络平均延时相对于分配带宽的梯度,以优化网络平均延时为目标,构造带宽约束条件下的迭代公式,在线地分配带宽,有效解决了一般计算机仿真中需要进行多次重复仿真而导致的大量机时问题,克服了一般算法须假定信息流的统计特性的限制.仿真结果表明,该算法能明显改善网络的平均延时性能.