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2018 37th Chinese Control Conference (CCC)最新文献

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A Smooth Bounded Confidence Model Maintaining Clustering Phenomenon 保持聚类现象的光滑有界置信模型
Pub Date : 2018-07-01 DOI: 10.23919/CHICC.2018.8482636
Yu Xing, H. Fang
In this paper, we propose a stochastic bounded confidence model. At every time slot, each individual receives an external social signal which is the average of opinions of its neighbors. Then agents compare the signals with their own personal biases which are defined as the initial values that ones hold. With positive probability, the agents either accept the opinion or persuade themselves with the help of personal prejudices. The probability of acceptance is reversely proportional to the opinion discrepancy between the signal and the bias. The model is modified as a continuous opinions discrete actions (CODA) model and thus is a Markov chain taking values on a finite state space. It is verified that the chain is aperiodic and finally converges in distribution to some invariant measure. The classification of states shows that the influences of distant opinions will boost consensus while the presence of personal biases promote clustering. The model also combines DeGroot model with Friedkin-Johnson model as well, by using a bounded confidence framework.
本文提出了一个随机有界置信模型。在每个时隙,每个个体都会接收到一个外部社会信号,这是其邻居意见的平均值。然后,代理将这些信号与他们自己的个人偏见进行比较,这些偏见被定义为一个人持有的初始值。在正概率情况下,代理人要么接受意见,要么借助个人偏见说服自己。接受的概率与信号和偏见之间的意见差异成反比。该模型被修改为连续意见离散动作(CODA)模型,因此是一个在有限状态空间上取值的马尔可夫链。证明了该链是非周期的,并最终在分布上收敛于某不变测度。对状态的分类表明,远距离意见的影响会促进共识,而个人偏见的存在会促进聚类。该模型采用有界置信度框架,将DeGroot模型与Friedkin-Johnson模型相结合。
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引用次数: 0
Robust State Agreement of Nonlinear Multi-agent Systems Subject to Measurement Disturbances 测量扰动下非线性多智能体系统的鲁棒状态一致性
Pub Date : 2018-07-01 DOI: 10.23919/CHICC.2018.8483861
Zhanxiu Wang, Tengfei Liu, Zhong-Ping Jiang
This paper studies the robust state agreement of nonlinear multi-agent systems in the presence of measurement disturbances. With the switching topology satisfying a mild joint connectivity condition, it is proved that robust state agreement can be achieved if the interaction functions are radially unbounded and satisfy a sector bound condition. If the conditions are not satisfied, a local robust state agreement result is also developed.
研究了存在测量扰动的非线性多智能体系统的鲁棒状态一致问题。在交换拓扑满足温和联合连通性条件的情况下,证明了当交互函数径向无界且满足扇区有界条件时,可以实现鲁棒状态一致性。在不满足条件的情况下,给出了局部鲁棒状态一致性结果。
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引用次数: 2
Formation Control of UGVs Based on Artificial Potential Field 基于人工势场的ugv编队控制
Pub Date : 2018-07-01 DOI: 10.23919/CHICC.2018.8483701
Lv Yongshen, Yang Xuerong, Yang Yajun, Pan Shengdong
According to the problem of UGVs' formation control in the process of motion, a formation control method of UGVs based on artificial potential field is proposed, established on the collision avoidance, aggregation and speed matching rules of UGVs. First establish the UGVs' kinetic model in accordance to the motion rules, then design the formation control algorithm based on artificial potential field function, which is used to control the formation during the movement of UGVs. Finally, the results of simulation and physical experiment verify the effectiveness of formation control method, which is also suitable for the formation control of large-scale UGVs.
针对ugv在运动过程中的队形控制问题,在ugv避撞、聚集和速度匹配规则的基础上,提出了一种基于人工势场的ugv队形控制方法。首先根据ugv的运动规律建立了ugv的动力学模型,然后设计了基于人工势场函数的队形控制算法,用于ugv运动过程中的队形控制。最后,仿真和物理实验结果验证了编队控制方法的有效性,该方法同样适用于大型ugv的编队控制。
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引用次数: 7
Privacy Preserving Second-order Consensus for WASNs wns的二阶一致性保护隐私
Pub Date : 2018-07-01 DOI: 10.23919/CHICC.2018.8482574
Zhenping Chen, Baochuan Fu, Zhengtian Wu, Qiyuan Xu
Considering the privacy requirements on initial states for second-order consensus in wireless sensor and actuator networks (WSAN s), we focus on the design of one privacy-preserving second-order consensus (PPSC) protocol in a distributed way, and investigate this issue from both the viewpoints of limiting the kind of information to be broadcasted and adding random noises to the broadcasted information. We also investigate the convergence rate and the privacy level of the proposed PPSC protocol, and drive that if only limited information of one node is kept by its neighboring nodes, both its initial velocity and position states will be privacy-preserved. Finally, simulation results are presented to verify the effectiveness of the proposed algorithm.
考虑到无线传感器与执行器网络(WSAN)对二阶共识初始状态的隐私要求,重点设计了一种分布式的保护隐私的二阶共识(PPSC)协议,并从限制传播信息种类和在传播信息中加入随机噪声两方面对该问题进行了研究。我们还研究了所提出的PPSC协议的收敛速度和隐私级别,并证明当一个节点的相邻节点只保留有限的信息时,该节点的初始速度和位置状态都是保密的。最后给出了仿真结果,验证了所提算法的有效性。
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引用次数: 0
Optimal Soot Blowing Strategies in Boiler Systems with Variable Steam Flow 变流量锅炉系统的最优吹灰策略
Pub Date : 2018-07-01 DOI: 10.23919/CHICC.2018.8484204
Jie Wen, Yuanhao Shi, Xiaoqiong Pang, J. Jia, Jianchao Zeng
The optimal soot blowing strategies of boiler systems with variable steam flow is investigated based on Hamilton-Jacobi-Bellman (HJB) equation in this paper. A continuous time Markov process with soot deposition mode and soot blowing mode is constructed as the mathematical model of boiler systems. In order to obtain the optimal soot blowing strategies, we propose a cost function based on the constructed boiler model, and derive the corresponding value function, which is the solution of HJB equation. In particular, the elementary properties of value function are described and proved strictly. Considering the difficulty of solving the HJB equation analytically, Kushner's method is applied to get the numerical solution of HJB equation, and the experiment results are analyzed.
本文基于Hamilton-Jacobi-Bellman (HJB)方程,研究了变蒸汽流量锅炉系统的最优吹灰策略。建立了具有积灰模式和吹灰模式的连续时间马尔可夫过程作为锅炉系统的数学模型。为了获得最优的吹灰策略,在构建的锅炉模型的基础上提出了成本函数,并推导出相应的值函数,即HJB方程的解。特别地,对值函数的初等性质进行了严格的描述和证明。考虑到解析求解HJB方程的难度,采用Kushner方法得到了HJB方程的数值解,并对实验结果进行了分析。
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引用次数: 2
Adaptive synchronization of fractional order chaotic systems based on modified feedback approach 基于改进反馈方法的分数阶混沌系统自适应同步
Pub Date : 2018-07-01 DOI: 10.23919/CHICC.2018.8483721
Xiaomin Tian, Zhong Yang, S. Fei
In this paper, a modified adaptive feedback control scheme is introduced to ensure synchronization of two different fractional order chaotic systems with unknown parameters and different fractional orders. Based on the stability of fractional order system, a modified adaptive controller and an update law of parameters are developed. The proposed scheme is global and theoretically rigorous. One example is given to illustrate effectiveness of this method, in which the synchronization between fractional order Chen system and fractional order Qi system is successfully achieved. Corresponding numerical simulations are also given to verify the analytical results.
本文提出了一种改进的自适应反馈控制方案,以保证两个参数未知、分数阶数不同的混沌系统的同步。基于分数阶系统的稳定性,提出了一种改进的自适应控制器和参数更新规律。该方案具有全局性和理论上的严谨性。通过实例验证了该方法的有效性,成功地实现了分数阶陈系统与分数阶齐系统的同步。并给出了相应的数值模拟来验证分析结果。
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引用次数: 2
A Quantum Audio Watermarking Scheme 量子音频水印方案
Pub Date : 2018-07-01 DOI: 10.23919/CHICC.2018.8483507
Kehan Chen, Fei Yan, Abdullah M. Iliyasu, Jianping Zhao
The study presented in this work explores the implementation of a watermarking scheme for quantum audio signals based on quantum Discrete Cosine Transformation (qDCT). The qDCT transforms the quantum host audio signal which is encoded as an FRQA (flexible representation of quantum audio) content from time domain to frequency domain and manipulates or modifies the high-frequency positions to embed the quantum watermark audio information into it. The strong energy compaction property of DCT is utilized in this scheme, i.e. after the DCT process to a digital audio, most of the signal information tends to be concentrated in a few low-frequency components and its high-frequency components could record some extra information like watermark audio. Built on the circuit model of quantum computation, the circuit networks to execute the embedding and extraction procedures of qDCT-based watermarking algorithm are designed and simulation-based experiments are conducted to demonstrate their implementation.
本研究探讨了基于量子离散余弦变换(qDCT)的量子音频信号水印方案的实现。qDCT将编码为FRQA(量子音频的灵活表示)内容的量子主机音频信号从时域变换到频域,并对高频位置进行操纵或修改以嵌入量子水印音频信息。该方案利用了DCT的强能量压缩特性,即DCT处理成数字音频后,大部分信号信息倾向于集中在少数低频分量中,而其高频分量会记录一些额外的信息,如水印音频。在量子计算电路模型的基础上,设计了执行基于qdct的水印算法的嵌入和提取过程的电路网络,并进行了基于仿真的实验来验证其实现。
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引用次数: 5
Improved Teaching-Learning-Based Optimization Algorithm 改进的基于教与学的优化算法
Pub Date : 2018-07-01 DOI: 10.23919/CHICC.2018.8483595
Junchang Zhai, Yuping Qin, Zhen Zhao, Minghai Yao
To improve the optimization performance of the TLBO algorithm for global optimization problem, an improved TLBO (ITLBO) algorithm with new learning scheme is proposed in this paper. In the learner phase, a no-best student learns from a random selected excellent student or an excellent student learns from teacher again according the fitness of the two mutual learners. To evaluate the performance of the proposed ITLBO algorithm, comparison with TLBO algorithm, several TLBO variants (A- TLBO, WTLBO, OTLBO, TLBO-GC) for the problem is carried out. Finally, Numerical results show that the proposed algorithm is an effective method for global optimization problems.
为了提高TLBO算法对全局优化问题的优化性能,本文提出了一种带有新学习方案的改进TLBO (ITLBO)算法。在学习者阶段,非最优学生向随机选择的优秀学生学习,或者优秀学生根据两个相互学习者的适合度再向老师学习。为了评估所提出的ITLBO算法的性能,与TLBO算法进行了比较,对该问题进行了几种TLBO变体(A- TLBO、WTLBO、OTLBO、TLBO- gc)。最后,数值结果表明,该算法是求解全局优化问题的有效方法。
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引用次数: 11
Non-Intrusive Load Decomposition Method Based on the Factor Hidden Markov Model 基于因子隐马尔可夫模型的非侵入式负荷分解方法
Pub Date : 2018-07-01 DOI: 10.23919/CHICC.2018.8483075
Liu Song, Wu Yao, Tian Jie
Aiming at the problems of demanding high frequency sampling devices and the factor hidden markov model algorithm without considering the correlation between the power equipments' running states, a novel non-intrusive load monitoring and decomposition (NILMD) method which based on factor hidden markov mode is proposed in this paper. This method considers appliances' current as load feature, and establishes a mathematical model between the total current and the currents of each appliance that considers the correlation between the running states of the equipment. Then, factor hidden markov algorithm is applied to search the running states of each appliance that realizes the decomposition of power load. The experiment shows that the resolution precision of each electric equipment is improved, and the principle of the method is simple. Meanwhile, the load data required in this method can be obtained directly by the universal smart meters on the market which reduces the cost input of the hardware.
针对电力设备对高频采样设备要求高,且未考虑设备运行状态相关性的因素隐马尔可夫模型算法存在的问题,提出了一种基于因素隐马尔可夫模型的非侵入式负荷监测与分解(NILMD)方法。该方法将电器的电流作为负载特征,建立了考虑设备运行状态相关性的电器总电流与各电器电流之间的数学模型。然后,利用因子隐马尔可夫算法搜索各设备的运行状态,实现电力负荷的分解。实验表明,该方法提高了各电气设备的分辨率精度,且原理简单。同时,该方法所需的负荷数据可由市场上的通用智能电表直接获取,减少了硬件的成本投入。
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引用次数: 1
The anti-windup controller design for multi-propeller aerostat based on nested saturation function 基于嵌套饱和函数的多螺旋桨浮空器防卷绕控制器设计
Pub Date : 2018-07-01 DOI: 10.23919/CHICC.2018.8484139
D. Sun, Li Chen, Guochang Zhang, Y. Wen, K. Liang, Xiaoliang Wang
This paper proposes two methods to describe the actuator amplitude and rate constraints with nested saturation function. The dynamic model of aerostat in the horizontal plane is established, and then the three order nested saturation controller is designed based on the nested saturation function. And as a result, the amplitude and rate of the actuator output are limited by the amplitude constraints of the nested function and the effectiveness of the control law is verified by simulation. The control quality is guaranteed by the state feedback controller. The advantage of the method is that the controller is simple and has strong ability to suppress disturbance.
本文提出了用嵌套饱和函数描述执行器振幅和速率约束的两种方法。建立了浮空器在水平面上的动力学模型,并基于嵌套饱和函数设计了三阶嵌套饱和控制器。利用嵌套函数的幅值约束对执行器的输出幅值和速率进行限制,并通过仿真验证了控制律的有效性。通过状态反馈控制器保证控制质量。该方法的优点是控制器简单,抑制干扰的能力强。
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引用次数: 2
期刊
2018 37th Chinese Control Conference (CCC)
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