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2013 9th Asian Control Conference (ASCC)最新文献

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Controllability of higher order switched boolean control networks 高阶开关布尔控制网络的可控性
Pub Date : 2013-06-23 DOI: 10.1109/ASCC.2013.6606357
Lequn Zhang, Jun‐e Feng, Min Meng
This paper investigates controllability of higher order switched Boolean control networks (SBCNs). First, by using semi-tensor product (STP) method, two algebraic forms of higher order SBCNs are derived. And a necessary and sufficient condition of controllability for higher order SBCNs is obtained. Then based on the second algebraic form, the corresponding control and switching-law which drive a point to a given reachable point are designed. Finally, an illustrative example is given to show the validity of the main result.
研究了高阶开关布尔控制网络(SBCNs)的可控性。首先,利用半张量积(STP)方法,导出了高阶sbcn的两种代数形式。得到了高阶SBCNs具有可控性的充分必要条件。然后在第二种代数形式的基础上,设计了相应的控制和切换律,将点驱动到给定的可达点。最后,通过一个算例验证了主要结果的有效性。
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引用次数: 2
Control of resonant modes of a smart structure using OMPC 基于OMPC的智能结构谐振模式控制
Pub Date : 2013-06-23 DOI: 10.1109/ASCC.2013.6606391
M. S. Rana, H. Pota, I. Petersen, Habibullah
In this article the design and experimental implementation of an observer based model predictive control (OMPC) scheme for active damping of the first two resonant modes of a smart structure is presented. The design of this controller is based on an identified model of the plant. A Kalman filter is used to obtain full state information. The experimental results verify the efficacy of the proposed controller.
本文提出了一种基于观测器的模型预测控制(OMPC)方案,用于智能结构前两种谐振模式的主动阻尼的设计和实验实现。该控制器的设计是基于已确定的对象模型。卡尔曼滤波用于获取完整的状态信息。实验结果验证了该控制器的有效性。
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引用次数: 1
Sampling rate tracking control of networked control systems based on cognitive knowledge of packet disordering 基于数据包无序认知知识的网络控制系统采样率跟踪控制
Pub Date : 2013-06-23 DOI: 10.1109/ASCC.2013.6606383
Jinna Li, Lifeng Wei, Daqing Zhang, Chao Liu, Haibin Yu, Qingling Zhang
This paper focuses on the sampling rate tracking control of networked control systems (NCSs) with packet disordering. In view of the coupled relation between packet disordering and sampling rate, a novel sampling rate control algorithm, referring to the cognitive knowledge of packet disordering, is presented. Based on it, a controller that jointly controls sampling rate and the plant is proposed, and an augmented model of NCSs is constructed. A sufficient condition under which the close-loop systems are stochastically stable is derived. Moreover, the actual sampling period tracks a desired sampling period according to tracking control method. The controller design is presented for NCSs in terms of linear matrix inequalities (LMIs) technique. Finally, A numerical example is given to illustrate the effectiveness of the proposed method.
研究了具有分组无序的网络控制系统的采样率跟踪控制问题。针对分组无序与采样率之间的耦合关系,提出了一种基于分组无序认知知识的采样率控制算法。在此基础上,提出了一种联合控制采样率和被控对象的控制器,并构造了ncs的增广模型。给出了闭环系统随机稳定的充分条件。此外,实际采样周期根据跟踪控制方法跟踪期望采样周期。根据线性矩阵不等式(lmi)技术,提出了ncs的控制器设计。最后,通过一个算例说明了所提方法的有效性。
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引用次数: 0
New results for feedback control of discrete systems with time scales 具有时间尺度的离散系统反馈控制的新结果
Pub Date : 2013-06-23 DOI: 10.1109/ASCC.2013.6605996
M. Mahmoud
The feedback control design problem for a wide class of discrete-time systems possessing fast and slow modes is considered in this paper. The slow and fast subsystems are considered to be completely controllable and observable. Based on the H∞ optimization criteria, a two-stage design procedure is developed using separate gain matrices for the fast and slow subsystems and computed using linear matrix inequalities. A composite control is designed to yield first-order approximations to the behavior of the discrete system. Typical applications models are utilized to illustrate the design procedure and the simulation results validated the theoretical analysis.
研究了一类广泛的具有快、慢模态的离散系统的反馈控制设计问题。慢速和快速子系统被认为是完全可控和可观察的。基于H∞优化准则,对快、慢子系统分别采用单独增益矩阵,采用线性矩阵不等式进行了两阶段设计。复合控制被设计成对离散系统的行为产生一阶近似。利用典型应用模型说明了设计过程,仿真结果验证了理论分析的正确性。
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引用次数: 0
An efficient method for finite time stability calculation of continuous time delay systems 连续时滞系统有限时间稳定性计算的一种有效方法
Pub Date : 2013-06-23 DOI: 10.1109/ASCC.2013.6606000
Ivan Buzurovic, D. Debeljkovic, A. M. Jovanovic
This paper provides sufficient conditions for the finite time stability of linear continuous time delay systems mathematically described as x'(t)=A0 x(t) + A1 x(t-τ). A novel method was used to derive new delay dependent conditions. The conditions obtained were applied in the system stability analysis. Consequently, the aggregation function does not have to be positive in the state space domain, and does not need to have the negative derivatives along the system trajectories. Finite time stability was analyzed using the novel conditions derived in the paper. The described approach was compared with some known methods. It was proved that the new results were in compliance with the previously reported results, but more convenient for numerical calculations. The numerical example was presented to support the results.
本文给出了数学上描述为x'(t)=A0 x(t) + A1 x(t-τ)的线性连续时滞系统有限时间稳定性的充分条件。提出了一种新的方法来推导新的时滞相关条件。将所得条件应用于系统稳定性分析。因此,聚合函数不必在状态空间域中为正,也不必沿系统轨迹具有负导数。利用本文导出的新条件,对系统的有限时间稳定性进行了分析。将所描述的方法与一些已知的方法进行了比较。结果表明,新的计算结果与前人的报道结果一致,但更便于数值计算。最后给出了数值算例。
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引用次数: 3
A new method based on the Polytopic Linear Differential Inclusion for the nonlinear filter 一种基于多面体线性微分包含的非线性滤波新方法
Pub Date : 2013-06-23 DOI: 10.1109/ASCC.2013.6605995
Bing Liu, Zhen Chen, Xiangdong Liu, Jie Geng, Fan Yang
This paper describes a new nonlinear filter for the nonlinear system, motivated by the the deficiencies of the complexity and large calculation number in the general nonlinear filter. The new filter is performed in three stages: First, the predicted state quantities of the nonlinear system are obtained by the prediction equation of the EKF. Then, the estimation error system is represented via an uncertain polytopic linear model, on the bias of which, the rectification equations with constant coefficients for the predicted errors are designed, without the need to evaluate the Jacobian matrixes on line. Finally, the state estimates are given through updating the predictions by the rectified quantities. The main novelty of the paper is the application of the Polytopic Linear Differential Inclusion in the nonlinear system, leading to the simplified design of the nonlinear filter and the improved real time performance of the new filter than the EKF, though the accuracy is a little decline. Its effectiveness is demonstrated by using the statistics result of the calculation number for the filters and an example of application in the attitude estimation system.
针对一般非线性滤波器计算复杂、计算量大的缺点,提出了一种新的非线性滤波器。新的滤波分三个阶段进行:首先,利用EKF的预测方程得到非线性系统的预测状态量;然后,利用不确定多面体线性模型表示估计误差系统,在该模型的偏差基础上,设计了预测误差的常系数校正方程,无需在线求雅可比矩阵;最后,通过修正量对预测量进行更新,给出状态估计。本文的主要新颖之处在于将Polytopic Linear Differential Inclusion应用于非线性系统中,简化了非线性滤波器的设计,虽然精度略有下降,但其实时性比EKF有所提高。通过对滤波器计算数的统计结果和在姿态估计系统中的应用实例,验证了该方法的有效性。
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引用次数: 5
Optimization based algorithm for correction of systematic odometry errors of mobile robot 基于优化的移动机器人系统里程误差修正算法
Pub Date : 2013-06-23 DOI: 10.1109/ASCC.2013.6606226
Senka Krivic, Aida Mrzic, J. Velagić, N. Osmic
This paper deals with measuring and reduction of odometry errors of a differential-drive mobile robot. For this purpose an algorithm for reducing systematic odometry errors caused by uncertainty of an effective wheelbase and unequal wheel diameters is proposed. The algorithm calculates three calibration coefficients using an optimization based on Levenberg-Marquardt algorithm. These coefficients compensate the effects of unknown values of wheel radius and unknown value of the wheelbase. The mobile robot location during a motion is determined based on visual system measurements. For evaluating the proposed algorithm three different tests are considered: straight line experiment, turn in place experiments, unidirectional square path experiment. Simulation and experimental results demonstrate the effectiveness of the proposed algorithm in reducing the systematic odometry errors.
本文研究了一种差动驱动移动机器人的里程误差测量与减小方法。为此,提出了一种减小由有效轴距不确定和车轮直径不等引起的系统里程误差的算法。该算法采用基于Levenberg-Marquardt算法的优化计算三个标定系数。这些系数补偿了未知的车轮半径值和未知的轴距值的影响。移动机器人在运动过程中的位置是基于视觉系统测量确定的。为了评估该算法,我们考虑了三种不同的实验:直线实验、原地实验和单向方形路径实验。仿真和实验结果表明,该算法在减小系统里程误差方面是有效的。
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引用次数: 4
Exact-estimator-based terminal sliding mode control system design 基于精确估计器的终端滑模控制系统设计
Pub Date : 2013-06-23 DOI: 10.1109/ASCC.2013.6606060
Jeng-Dao Lee, Jia-Qi Lu, S. Khoo
This paper investigates an estimator-based terminal sliding mode control system. An exact estimator is proposed to exactly estimate the unknown uncertainties in finite time. The output of the exact estimator is used to design a continuous chattering free terminal sliding mode control. The time taken for the closed-loop system to reach zero tracking error is proven to be finite. Experiment results are presented, using a real time digital-signal-processor (DSP) based electromagnetic-levitation system to implement the control performance.
研究了一种基于估计量的终端滑模控制系统。提出了一种精确估计量来精确估计有限时间内的未知不确定性。利用精确估计器的输出设计连续无抖振终端滑模控制。证明了闭环系统达到零跟踪误差所需的时间是有限的。实验结果表明,采用实时数字信号处理器(DSP)实现磁悬浮系统的控制性能。
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引用次数: 0
Consensus conditions of continuous-time multi-agent systems with relative-state-dependent measurement noises and matrix-valued intensity functions 具有相对状态相关测量噪声和矩阵值强度函数的连续时间多智能体系统的一致性条件
Pub Date : 2013-06-23 DOI: 10.1109/ASCC.2013.6606198
Tao Li, Fuke Wu, Ji-feng Zhang
In this paper, we consider the distributed consensus of high-dimensional first-order agents with relative-state-dependent measurement noises. Each agent can measure or receive its neighbors' state information with random noises, whose intensity is a nonlinear matrix-valued function of agents' relative states. By the tools of stochastic differential equations and algebraic graph theory, we give sufficient conditions to ensure mean square and almost sure consensus and the convergence rate and the steady-state error for average consensus are quantified.
本文研究了具有相对状态相关测量噪声的高维一阶智能体的分布式一致性问题。每个智能体可以用随机噪声测量或接收其邻居的状态信息,随机噪声的强度是智能体相对状态的非线性矩阵值函数。利用随机微分方程和代数图论的工具,给出了保证均方一致和几乎一致的充分条件,并量化了平均一致的收敛速度和稳态误差。
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引用次数: 16
Multiple fault diagnosis using mathematical models 基于数学模型的多重故障诊断
Pub Date : 2013-06-23 DOI: 10.1109/ASCC.2013.6606344
L. Mhamdi, H. Dhouibi, N. Liouane, Z. Simeu-Abazi
Multiple fault diagnosis is a challenging problem because the number of candidates grows exponentially in the number of faults. The multiple fault problems is important, since the single fault assumption can lead to incorrect or failed diagnoses when multiple faults occur. In this work, we present an approach for diagnosing multi faults based on model using techniques of detection and localization. We use an observer to generate residuals for a decision in a stage of monitoring and diagnostic system when disruptions or defects occur. Our contribution is the proposal of a diagnostic method when multiple faults type actuators or sensors affect the system.
多故障诊断是一个具有挑战性的问题,因为候选故障数量随故障数量呈指数增长。多故障问题很重要,因为当发生多故障时,单故障假设可能导致不正确或失败的诊断。本文提出了一种基于模型的多故障诊断方法,该方法采用检测和定位技术。在监测和诊断系统发生中断或缺陷时,我们使用观测器来生成决策的残差。我们的贡献是提出了当多个故障类型的执行器或传感器影响系统时的诊断方法。
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引用次数: 11
期刊
2013 9th Asian Control Conference (ASCC)
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