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2017 Australian and New Zealand Control Conference (ANZCC)最新文献

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Functional observer design for linear discrete-time stochastic system 线性离散随机系统的函数观测器设计
Pub Date : 2017-12-01 DOI: 10.1109/ANZCC.2017.8298507
Satnesh Singh, S. Janardhanan
This paper presents a new method to design functional observers for linear discrete-time stochastic systems, based on the Kronecker product approach. Existence conditions and stability analysis of the functional observers are provided. Further, covariance condition is provided for minimizing the effect of measurement and process noise in the functional observer. A simulation example is provided to demonstrate the usefulness of the proposed design method.
本文提出了一种基于Kronecker积方法设计线性离散随机系统的函数观测器的新方法。给出了函数观测器的存在条件和稳定性分析。此外,还提供了协方差条件,以最小化测量噪声和过程噪声对功能观测器的影响。仿真实例验证了所提设计方法的有效性。
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引用次数: 9
Frequency domain analysis of backstepping-based disturbance rejection in a linear hyperbolic system 线性双曲型系统反步抗干扰的频域分析
Pub Date : 2017-12-01 DOI: 10.1109/ANZCC.2017.8298494
T. Strecker, O. Aamo
We perform a frequency-domain analysis of a second-order linear hyperbolic system modeling the so-called heave problem in offshore Managed Pressure Drilling (MPD) in closed loop with a backstepping controller with disturbance feedforward. A measureable disturbance enters at one boundary of the domain and the objective is to track a reference at the same boundary. Both sensing and actuation are restricted to the opposite boundary of the domain. The effect of model uncertainty on closed-loop stability and on the controller performance is investigated and compared to the performance of simpler strategies not using feedforward. The approach is directly applicable to tracking problems in other stable 2 × 2 linear hyperbolic systems controlled by backstepping.
针对海上控压钻井(MPD)中所谓的升沉问题,采用带扰动前馈的反步控制器对二阶线性双曲系统进行了频域分析。一个可测量的扰动从区域的一个边界进入,目标是跟踪同一边界上的参考点。传感和驱动都被限制在域的相反边界上。研究了模型不确定性对闭环稳定性和控制器性能的影响,并与不使用前馈的简单策略的性能进行了比较。该方法可直接应用于其他由反演控制的稳定2 × 2线性双曲型系统的跟踪问题。
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引用次数: 2
Several recent developments in estimation and robust control of quantum systems 量子系统估计和鲁棒控制的几个最新进展
Pub Date : 2017-12-01 DOI: 10.1109/ANZCC.2017.8298510
D. Dong, Yuanlong Wang
This paper summarizes several recent developments in the area of estimation and robust control of quantum systems and outlines several directions for future research. Quantum state tomography via linear regression estimation and adaptive quantum state estimation are introduced and a Hamiltonian identification algorithm is outlined. Two quantum robust control approaches including sliding mode control and sampling-based learning control are illustrated.
本文总结了量子系统估计和鲁棒控制领域的最新进展,并概述了未来研究的几个方向。介绍了基于线性回归估计和自适应量子态估计的量子态层析成像,并提出了一种哈密顿识别算法。介绍了两种量子鲁棒控制方法:滑模控制和基于采样的学习控制。
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引用次数: 4
Distributed Nash equilibrium seeking of an aggregative game by a singular perturbed algorithm 用奇异摄动算法求解聚集对策的分布式纳什均衡
Pub Date : 2017-12-01 DOI: 10.1109/ANZCC.2017.8298501
C. Nguyen, P. Hoang, M. Trinh, Byung-Hun Lee, H. Ahn
This paper proposes a distributed singular perturbed algorithm for finding a Nash Equilibrium (NE) of an aggregative game, which is known as one class of a non-cooperative Nash game. A motivation model for this game is formulated in a distributed energy network consisting of players equipped with generators. We deal with the problem of operating each agent's generator at an optimal set value to minimize its objective function selfishly. The algorithm is designed in such a manner that each player estimates the sum of players' actions in an interconnected network based on information exchanged with its local neighbors in order to determine the optimal decision. The effectiveness of the proposed algorithm is demonstrated via a simulation.
本文提出了一种分布式奇异摄动算法,用于求解一类非合作纳什对策的聚集对策的纳什均衡。在一个由配备发电机的参与者组成的分布式能源网络中,建立了该博弈的动机模型。我们处理的问题是每个智能体的发电机在一个最优设定值上运行,以使其目标函数自私地最小化。该算法的设计方式是,每个参与者根据与本地邻居交换的信息,估计互联网络中参与者的行动总和,以确定最优决策。通过仿真验证了该算法的有效性。
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引用次数: 3
Decoder design and performance comparison of closed-loop brain machine interface 闭环脑机接口解码器设计及性能比较
Pub Date : 2017-12-01 DOI: 10.1109/ANZCC.2017.8298493
Jinggao Sun, Jiaxiong Yang, Shuo Wang, Huaicheng Yan
In this paper, the spontaneous motion of the single joint is studied on the basis of the cortical neuron firing activity model, and the working principle of the closed-loop brain machine interface is analyzed from the perspective of control theory. The Kalman filter and artificial neural network are used to design system decoder to replace the spinal cord current in original system. According to the result, the performance of decoder design based on neural network is better than that based on Kalman filter.
本文在皮质神经元放电活动模型的基础上,研究了单个关节的自发运动,并从控制论的角度分析了闭环脑机接口的工作原理。采用卡尔曼滤波和人工神经网络设计系统解码器,取代原系统中的脊髓电流。结果表明,基于神经网络的解码器设计性能优于基于卡尔曼滤波的解码器设计。
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引用次数: 0
Finite-time boundedness of uncertain Markovian jump systems: A sliding mode approach 不确定马尔可夫跳跃系统的有限时间有界性:一种滑模方法
Pub Date : 2017-12-01 DOI: 10.1109/ANZCC.2017.8298436
Z. Cao, Y. Niu, Haijuan Zhao, Jun Song
This paper investigates the finite-time bounded-ness (FTB) for a class of uncertain Markovian jump systems (MJSs) via sliding mode control (SMC) technique. Firstly, a suitable sliding mode controller is constructed to drive the state trajectories onto the specified sliding surface during a specified finite (possibly short) time interval. Then, by utilizing a partitioning strategy, the corresponding FTB over reaching phase and sliding motion phase are respectively analyzed during the specified finite time interval. Finally, a simulation example is given to verify the proposed control method.
本文利用滑模控制技术研究了一类不确定马尔可夫跳跃系统的有限时间有界性问题。首先,构造一个合适的滑模控制器,在指定的有限(可能很短)时间间隔内将状态轨迹驱动到指定的滑动面上。然后,利用分块策略,分别分析了在指定的有限时间间隔内的过到达相位和滑动运动相位的FTB。最后,通过仿真实例验证了所提出的控制方法。
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引用次数: 0
Discretization of duffing oscillator dynamics by Taylor-Lie formulation based method 基于泰勒-李公式的duffing振子动力学离散化方法
Pub Date : 2017-12-01 DOI: 10.1109/ANZCC.2017.8298438
Gagan Deep Meena, S. Janardhanan
This paper proposes a new discretization model for Duffing oscillator dynamics which is governed by a second order nonlinear differential equation. A Taylor-Lie formulation based method has been used for discretization. A detailed analysis and comparison of Taylor-Lie discretized model with Euler discretized model have been presented.
本文提出了一种新的二阶非线性微分方程控制的Duffing振子动力学离散化模型。采用基于泰勒-李公式的方法进行离散化。对Taylor-Lie离散模型和Euler离散模型进行了详细的分析和比较。
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引用次数: 1
Non-local approximation of power flow equations with guaranteed error bounds 具有保证误差界的潮流方程的非局部近似
Pub Date : 2017-12-01 DOI: 10.1109/ANZCC.2017.8298490
Rahmat Heidari, M. Seron, J. Braslavsky
Progressive increase of distributed generation penetration levels into the power grid has motivated studies on network stability and control methods in order to maintain the grid in operational conditions. A key challenge to better study features of the power grid is to have a reliable network model under different circumstances. In this paper, we derive a structured nonlinear model for the network and then propose an approximate model that captures the system nonlinearities. We then design voltage control functions and derive a dynamic network model with embedded controllers. We analyse voltage stability of the controlled network for both the exact and approximate models. In particular, we give conditions for the voltage to ultimately lie within quantifiable bounds for both models. This result also allows to compute a bound on the difference between the exact and approximate model voltages.
分布式发电接入电网水平的不断提高,激发了对网络稳定性和控制方法的研究,以维持电网的运行状态。为了更好地研究电网的特征,一个关键的挑战是在不同的情况下有一个可靠的网络模型。在本文中,我们推导了网络的结构化非线性模型,然后提出了一个捕获系统非线性的近似模型。然后,我们设计了电压控制功能,并推导了一个带有嵌入式控制器的动态网络模型。我们分析了精确模型和近似模型下被控网络的电压稳定性。特别地,我们给出了电压最终在两个模型的可量化范围内的条件。该结果还允许计算精确和近似模型电压之间差的界限。
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引用次数: 7
Cyber-physical attacks detection in networked control systems with limited communication bandwidth 通信带宽有限的网络控制系统中的网络物理攻击检测
Pub Date : 2017-12-01 DOI: 10.1109/ANZCC.2017.8298484
Eman Mousavinejad, Fuwen Yang, Q. Han, L. Vlacic
This paper is concerned with cyber-physical attack detection problem in networked control systems subject to limited communication bandwidth. This constraint arises when an attack detection system is located at a remote site and so the required signals, measurement output and control signals, need to be transmitted over a digital communication channel. Therefore, data before being sent to the remote site must be encoded and converted from analog signals to digital signals by using quantizer. A quantizer maps the amount of information from a continuous space to a finite set which is compatible with the limited communication bandwidth. Considering the quantized measurement output, a detection algorithm by means of a set-membership filtering approach will be proposed. The algorithm consists of a prediction ellipsoid set and an estimation ellipsoid set updated with the quantized measurement output. The detection method depends on the existence of intersection between two sets computed by the filter. Simulation results for some possible physical and cyber attacks are provided to demonstrate the effectiveness of the proposed method.
研究通信带宽有限的网络控制系统中的网络物理攻击检测问题。当攻击检测系统位于远程站点,因此所需的信号,测量输出和控制信号需要通过数字通信通道传输时,就会出现这种限制。因此,在发送到远程站点之前,必须对数据进行编码,并使用量化器将模拟信号转换为数字信号。量化器将信息量从连续空间映射到与有限通信带宽兼容的有限集合。考虑到量子化的测量输出,提出了一种基于集隶属度滤波的检测算法。该算法由预测椭球集和估计椭球集组成,估计椭球集由量化的测量输出更新。该检测方法依赖于滤波器计算的两个集合之间是否存在交集。对一些可能的物理攻击和网络攻击进行了仿真,验证了该方法的有效性。
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引用次数: 1
Efficient identification of unitary quantum processes 单一量子过程的有效识别
Pub Date : 2017-12-01 DOI: 10.1109/ANZCC.2017.8298511
Yuanlong Wang, Qi Yin, D. Dong, B. Qi, I. Petersen, Z. Hou, H. Yonezawa, G. Xiang
Identifying an unknown unitary quantum process is a fundamental task in the development of quantum technology. In this paper, we propose an efficient identification algorithm for estimating unitary processes. In the method, input pure states are used and a fast quantum state tomography algorithm is developed to reconstruct the output states. Then the information of the output states is used to estimate the unitary process. The identification algorithm has computational complexity O(d3) for a d-dimensional system. Numerical results show that the proposed identification algorithm is much more efficient than the maximum likelihood estimation method and works well for input mixed states with high purity. An analytical upper bound for the identification error is also provided, and numerical simulations and experimental results on quantum optical systems verify the theoretical results.
识别未知的单一量子过程是量子技术发展的一项基本任务。本文提出了一种用于估计酉过程的有效辨识算法。该方法采用输入纯态,并开发了一种快速量子态层析算法来重建输出态。然后利用输出状态的信息对整个过程进行估计。对于d维系统,该识别算法的计算复杂度为O(d3)。数值结果表明,所提出的识别算法比极大似然估计方法更有效,对高纯度的输入混合状态也能很好地识别。给出了识别误差的解析上界,量子光学系统的数值模拟和实验结果验证了理论结果。
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引用次数: 2
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2017 Australian and New Zealand Control Conference (ANZCC)
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