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2018 Australian & New Zealand Control Conference (ANZCC)最新文献

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Neural Network Super-twisting based Repetitive Control for a Brushless DC Servo Motor with Parameter Uncertainty, Friction, and Backlash 具有参数不确定性、摩擦和间隙的无刷直流伺服电机的神经网络超扭转重复控制
2018 Australian & New Zealand Control Conference (ANZCC) Pub Date : 2018-12-01 DOI: 10.1109/ANZCC.2018.8606543
Raymond Chuei, Z. Cao, Z. Man
{"title":"Neural Network Super-twisting based Repetitive Control for a Brushless DC Servo Motor with Parameter Uncertainty, Friction, and Backlash","authors":"Raymond Chuei, Z. Cao, Z. Man","doi":"10.1109/ANZCC.2018.8606543","DOIUrl":"https://doi.org/10.1109/ANZCC.2018.8606543","url":null,"abstract":"This paper presents a neural network super-twisting based repetitive control (NNSTRC) to improve the tracking accuracy of periodic signal. The proposed algorithm is robust against the plant uncertainty caused by the mass and viscous friction variation. Moreover, it compensates the nonlinear frictions, and the backlash by using the neural network based super-twisting algorithm. Firstly, a repetitive control (RC) is designed to track the periodic reference, and compensate the viscous frictions. Then, a stable neural network super twisting control (NNSTC) is constructed to compensate the nonlinear frictions, backlash, and plant uncertainty. The proposed algorithm is verified on a simulation model of rotational system. The simulation comparisons highlight the advantages of the proposed algorithm.","PeriodicalId":358801,"journal":{"name":"2018 Australian & New Zealand Control Conference (ANZCC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130987099","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Face Expression Recognition Based on Convolutional Neural Network* 基于卷积神经网络的人脸表情识别*
2018 Australian & New Zealand Control Conference (ANZCC) Pub Date : 2018-12-01 DOI: 10.1109/ANZCC.2018.8606597
Lei Xu, M. Fei, Wenju Zhou, Aolei Yang
{"title":"Face Expression Recognition Based on Convolutional Neural Network*","authors":"Lei Xu, M. Fei, Wenju Zhou, Aolei Yang","doi":"10.1109/ANZCC.2018.8606597","DOIUrl":"https://doi.org/10.1109/ANZCC.2018.8606597","url":null,"abstract":"In order to reduce the complexity for extracting artificial features from the face image in facial expression recognition (FER), a novel method is proposed based on convolutional neural network (CNN) in this paper. This method first preprocesses the facial expression images, then some trainable convolution kernels are used to extract facial expression features, and second, the largest pooling layer is used to fewer dimensions, finally seven types of facial expressions are recognized with the Softmax classifier. The proposed method is verified with Kaggle facial expression recognition challenge dataset (FER2013). The experimental results show that the method has good recognition performance and generalization ability.","PeriodicalId":358801,"journal":{"name":"2018 Australian & New Zealand Control Conference (ANZCC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115638023","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 14
Adaptive Neural Output Consensus Control of Stochastic Nonlinear Strict-Feedback Multi-Agent Systems * 随机非线性严格反馈多智能体系统的自适应神经输出一致性控制*
2018 Australian & New Zealand Control Conference (ANZCC) Pub Date : 2018-12-01 DOI: 10.1109/ANZCC.2018.8606558
Yang Yang, Songtao Miao, Chuang Xu, D. Yue, Jie Tan, Yu-Chu Tian
{"title":"Adaptive Neural Output Consensus Control of Stochastic Nonlinear Strict-Feedback Multi-Agent Systems *","authors":"Yang Yang, Songtao Miao, Chuang Xu, D. Yue, Jie Tan, Yu-Chu Tian","doi":"10.1109/ANZCC.2018.8606558","DOIUrl":"https://doi.org/10.1109/ANZCC.2018.8606558","url":null,"abstract":"An adaptive neural output consensus control issue is considered for stochastic nonlinear strict-feedback multi-agent systems (MASs). The traditional backstepping framework is employed combing with the graph theory, as well as neural networks (NNs) technology. NNs are utilized for the approximation of unknown functions, and the Itô’s lemma is used to deal with stochastic dynamics of the system. It is proved that all signals remain bounded in probability and that the tracking errors of all followers converge to a small neighborhood of the origin in the sense of mean quartic value by suitable choice of parameters. A simulation example is provided.","PeriodicalId":358801,"journal":{"name":"2018 Australian & New Zealand Control Conference (ANZCC)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115865455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Event-based predictive security control for periodic denial-of-service jamming attack 基于事件的周期性拒绝服务干扰攻击预测安全控制
2018 Australian & New Zealand Control Conference (ANZCC) Pub Date : 2018-12-01 DOI: 10.1109/ANZCC.2018.8606566
Hui Ge, D. Yue, Xiangpeng Xie, Song Deng, Songlin Hu
{"title":"Event-based predictive security control for periodic denial-of-service jamming attack","authors":"Hui Ge, D. Yue, Xiangpeng Xie, Song Deng, Songlin Hu","doi":"10.1109/ANZCC.2018.8606566","DOIUrl":"https://doi.org/10.1109/ANZCC.2018.8606566","url":null,"abstract":"In this paper, an event-based predictive framework is designed for security control of cyber-phycial system (CPS) under periodic DoS jamming attack. Based on this framework, event-based model predictive control scenario is applied as an embedded part of the controller. Firstly, periodic jamming attack is analyzed and the predictor model is proposed according to the processes of the remote observer and event-trigger. And secondly, an integrated model including observer, event-trigger and predictor is formulated. Then, some significant results have been drawn. Finally, a classical ball and beam system is given to substantiate the work of this paper.","PeriodicalId":358801,"journal":{"name":"2018 Australian & New Zealand Control Conference (ANZCC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123581380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Stability analysis for switched delay systems via novel integral inequalities* 基于新颖积分不等式的切换时滞系统稳定性分析*
2018 Australian & New Zealand Control Conference (ANZCC) Pub Date : 2018-12-01 DOI: 10.1109/ANZCC.2018.8606547
Zhihui Cai, Baolin Zhang, Yikang Wang, Xian-Hu Yu
{"title":"Stability analysis for switched delay systems via novel integral inequalities*","authors":"Zhihui Cai, Baolin Zhang, Yikang Wang, Xian-Hu Yu","doi":"10.1109/ANZCC.2018.8606547","DOIUrl":"https://doi.org/10.1109/ANZCC.2018.8606547","url":null,"abstract":"In this paper, we study stability for a class of switched systems with time-varying delays. Sufficient conditions and exponential stability for a class of switching signals with average dwell time are proposed. These conditions are delay-dependent and given in form of linear matrix inequalities. Some examples show the efficiency of the proposed method.","PeriodicalId":358801,"journal":{"name":"2018 Australian & New Zealand Control Conference (ANZCC)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124464977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Distributed H∞-Consensus Filtering for a Networked Time-Delay System with Switching Network Topology and Packet Dropouts 具有交换网络拓扑和丢包的网络时延系统的分布式H∞-一致性滤波
2018 Australian & New Zealand Control Conference (ANZCC) Pub Date : 2018-12-01 DOI: 10.1109/ANZCC.2018.8606546
Huifang Qu, Fuwen Yang, Q. Han
{"title":"Distributed H∞-Consensus Filtering for a Networked Time-Delay System with Switching Network Topology and Packet Dropouts","authors":"Huifang Qu, Fuwen Yang, Q. Han","doi":"10.1109/ANZCC.2018.8606546","DOIUrl":"https://doi.org/10.1109/ANZCC.2018.8606546","url":null,"abstract":"This paper is concerned with the distributed H∞-consensus filtering problem for a networked system with random and time-varying state delays, switching network topology and different communication channels-induced packet dropouts with different missing rates. The purpose of the addressed problem is to design a distributed H∞-consensus filter to guarantee the robustness of the filtering error system to both random and time-varying state delays, different communication channels-induced packet losses and switching network topology, and the minimization of the consensus-based estimation deviations in the H∞ sense. On the basis of the T-S fuzzy approach and the Lyapunov functional, distributed H∞-consensus filter design criteria are derived such that the filtering error system is mean-square stochastically stable, and an optimal H∞ disturbance rejection attenuation performance index is achieved for the consensus-based estimation deviations. A simulation example is conducted to verify the usefulness of the proposed filter design approach.","PeriodicalId":358801,"journal":{"name":"2018 Australian & New Zealand Control Conference (ANZCC)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134207488","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
Multi-agent based optimal operation of hybrid energy resources under high penetration of wind power generation 风电高渗透下基于多智能体的混合能源优化运行
2018 Australian & New Zealand Control Conference (ANZCC) Pub Date : 2018-12-01 DOI: 10.1109/ANZCC.2018.8606614
Huifeng Zhang, D. Yue, Yang Zhang, Jiang Wu
{"title":"Multi-agent based optimal operation of hybrid energy resources under high penetration of wind power generation","authors":"Huifeng Zhang, D. Yue, Yang Zhang, Jiang Wu","doi":"10.1109/ANZCC.2018.8606614","DOIUrl":"https://doi.org/10.1109/ANZCC.2018.8606614","url":null,"abstract":"With the integration of wind power and photovoltaic power, optimal operation of hybrid energy resources becomes great challenge due to its non-convex, stochastic and complex-coupled characteristics. This paper proposes a multi-agent based optimal operation method to properly manage different energy resources, and an improved multi-objective optimization algorithm is also proposed to optimize the optimal operation problem. Hybrid energy resources are classified as three categories: stable power resource, intermittent power resource and energy storage, which can be properly managed with three agents. Each agent represents each energy power resource, and those agents coordinate together to achieve global optima with satisfying various constraints. Based on above multi-agent system, a novel multi-objective differential evolution is proposed to optimize the system model, and both simulation results and a real-life case study confirm that the multi-agent system based optimization method can be taken as a viable alternative for optimizing hybrid energy resource problem.","PeriodicalId":358801,"journal":{"name":"2018 Australian & New Zealand Control Conference (ANZCC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131481963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Disturbance-observer-based Control and ℋ∞ Control for Semi-Markovian Jump Nonlinear Systems 半马尔可夫跳变非线性系统的扰动观测器控制与h∞控制
2018 Australian & New Zealand Control Conference (ANZCC) Pub Date : 2018-12-01 DOI: 10.1109/ANZCC.2018.8606592
Y. Lian, Xiu-ming Yao, Ju H. Park, Y. Long, Jianwei Xia
{"title":"Disturbance-observer-based Control and ℋ∞ Control for Semi-Markovian Jump Nonlinear Systems","authors":"Y. Lian, Xiu-ming Yao, Ju H. Park, Y. Long, Jianwei Xia","doi":"10.1109/ANZCC.2018.8606592","DOIUrl":"https://doi.org/10.1109/ANZCC.2018.8606592","url":null,"abstract":"In this paper, we try to effectively combine disturbance-observer-based control (DOBC) and ℋ∞ control to solve common problems for semi-Markovian jump systems, such as nonlinearity in complex systems and malignant disturbance caused by different factors. We take this opportunity to target two different kinds of disturbances are solved, and a disturbance observer is proposed to help solve the problem. Finally, we apply the result of the observer to design a relatively novel composite controller. Through the interaction of the observer and the controller, we solved the influence of different disturbances and ensured the good stability of the closed-loop system. Finally, a numerical example is provided to illustrate the validity of the theoretical results developed.","PeriodicalId":358801,"journal":{"name":"2018 Australian & New Zealand Control Conference (ANZCC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130313384","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Distributed H∞-Consensus Fault Detection for Fuzzy Systems with Faults, Switching Network Topology, Packet Dropouts and Channel Fading 带有故障的模糊系统的分布式H∞-一致故障检测，交换网络拓扑，丢包和信道衰落
2018 Australian & New Zealand Control Conference (ANZCC) Pub Date : 2018-12-01 DOI: 10.1109/ANZCC.2018.8606605
Huifang Qu, Fuwen Yang, Q. Han
{"title":"Distributed H∞-Consensus Fault Detection for Fuzzy Systems with Faults, Switching Network Topology, Packet Dropouts and Channel Fading","authors":"Huifang Qu, Fuwen Yang, Q. Han","doi":"10.1109/ANZCC.2018.8606605","DOIUrl":"https://doi.org/10.1109/ANZCC.2018.8606605","url":null,"abstract":"This paper is concerned with the distributed H∞-consensus fault detection (FD) filtering problem for a class of discrete-time Takagi-Sugeno (T-S) fuzzy systems with faults, switching network topology, channel fading and different communication channels-induced packet dropouts with different missing rates. The purpose of the addressed problem is to design a distributed H∞-consensus FD filter to guarantee the sensitivity of the residual signal to the faults and the robustness of the residual system to effects of both switching network topology, channel fading and different communication channels-induced packet dropouts with different lossing rates. On the basis of the T-S fuzzy approach and the Lyapunov functional, distributed H∞-consensus FD filter design criterion is derived such that the residual system is exponentially stable in the mean square, and the optimal H∞ filtering performance index is derived. A simulation example is conducted to verify the usefulness of the proposed FD filter design approach.","PeriodicalId":358801,"journal":{"name":"2018 Australian & New Zealand Control Conference (ANZCC)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132017743","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Impact of Induction Motor Load on the Dynamic Voltage Stability of Microgrid 感应电机负载对微电网动态电压稳定性的影响
2018 Australian & New Zealand Control Conference (ANZCC) Pub Date : 2018-12-01 DOI: 10.1109/ANZCC.2018.8606599
N. Afrin, Fuwen Yang, Junwei Lu, Monirul Islam
{"title":"Impact of Induction Motor Load on the Dynamic Voltage Stability of Microgrid","authors":"N. Afrin, Fuwen Yang, Junwei Lu, Monirul Islam","doi":"10.1109/ANZCC.2018.8606599","DOIUrl":"https://doi.org/10.1109/ANZCC.2018.8606599","url":null,"abstract":"The microgrid (MG) has already been acknowledged as one of the most promising section of power system. However, being different from the conventional power system, MG’s stability issues need to be additionally explored. Moreover, low inertia of the inverter based Renewable Energy Sources (RESs) is the premier cause to make disturbances more vulnerable to the islanded MG than that of the grid connected MG. In this paper, the impact of Induction Motor(IM) load on dynamic voltage stability of an islanded MG during the occurrence of fault is investigated. Different loading condition, containing different percentage of IM load, are examined. Nextly, a control strategy, providing Reactive Power Support (RPS) during voltage sag, from Photo Voltaic (PV) system as countermeasure for dynamic voltage instability is presented. A comparison between with and without RPS is provided to show the effectiveness of the providing reactive power support. The case studies are carried out in MATLAB/ Simulink environment. The results show that the countermeasure can play a substantial role in preventing the voltage instability.","PeriodicalId":358801,"journal":{"name":"2018 Australian & New Zealand Control Conference (ANZCC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132110671","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 13
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