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2019 China-Qatar International Workshop on Artificial Intelligence and Applications to Intelligent Manufacturing (AIAIM)最新文献

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Practical Absolute Stabilization of Lur'e Systems via Periodic Event-Triggered Feedback 基于周期事件触发反馈的Lur系统的实用绝对镇定
2019 China-Qatar International Workshop on Artificial Intelligence and Applications to Intelligent Manufacturing (AIAIM) Pub Date : 2019-01-01 DOI: 10.1109/AIAIM.2019.8632784
Fan Zhang, Wenwu Yu, G. Wen, A. Zemouche
{"title":"Practical Absolute Stabilization of Lur'e Systems via Periodic Event-Triggered Feedback","authors":"Fan Zhang, Wenwu Yu, G. Wen, A. Zemouche","doi":"10.1109/AIAIM.2019.8632784","DOIUrl":"https://doi.org/10.1109/AIAIM.2019.8632784","url":null,"abstract":"This paper deals with communication-aware absolute stabilization problems of Lur'e systems using intermittent state information. The full state information is sampled periodically, but transmitted over communication networks to the controller aperiodically according to an event-triggering strategy. The sequence of the event-triggering transmission instants is certainly a subset of that of the time-triggering sampling instants. Hence the time-triggering strategy prevents the event-triggering strategy from the so-called Zeno behavior immediately. We employ the emulation-based approach and divide the controller design procedure into two steps. First, we present a time-triggered controller guaranteeing the global exponential absolute stability for the resulting closed-loop Lur'e system. The obtained sufficient stability conditions involving the state feedback gain matrix and the constant sampling period are derived by means of absolute stability theory. Subsequently, its robustness is analyzed against the control input error induced by the event-triggering mechanism. Under a prescribed periodic event-triggering strategy with a freely selectable parameter, a periodic event-triggered controller is obtained for the Lur'e system to achieve practical exponential absolute stabilization. Finally, linear matrix inequality (LMI) techniques are used to compute all the control parameters.","PeriodicalId":179068,"journal":{"name":"2019 China-Qatar International Workshop on Artificial Intelligence and Applications to Intelligent Manufacturing (AIAIM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116626167","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
The Design of 3-DES Encryption System Using Optimizing Keys 基于优化密钥的3-DES加密系统设计
2019 China-Qatar International Workshop on Artificial Intelligence and Applications to Intelligent Manufacturing (AIAIM) Pub Date : 1900-01-01 DOI: 10.1109/AIAIM.2019.8632786
L. xilinx Wang, Guangling Jiang
{"title":"The Design of 3-DES Encryption System Using Optimizing Keys","authors":"L. xilinx Wang, Guangling Jiang","doi":"10.1109/AIAIM.2019.8632786","DOIUrl":"https://doi.org/10.1109/AIAIM.2019.8632786","url":null,"abstract":"3-DES built on three DES cipher in order to support a higher security is basically used in various cryptographic application and wireless protocol security layers. This paper implements a optimal 3-DES system through optimizing the 64 bits key-sequence. Through selection, crossover and mutation of genetic algorithm, the key sequence is extended to 192 bits. The optimized system is implemented on Virtex-E FPGA which is more fast, feasible, security and can be accomplished in less time.","PeriodicalId":179068,"journal":{"name":"2019 China-Qatar International Workshop on Artificial Intelligence and Applications to Intelligent Manufacturing (AIAIM)","volume":"1985 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113966579","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: 5
Multiple Periods Location and Capacity Optimization of Charging Stations for Electric Vehicle 电动汽车充电站多周期选址与容量优化
2019 China-Qatar International Workshop on Artificial Intelligence and Applications to Intelligent Manufacturing (AIAIM) Pub Date : 1900-01-01 DOI: 10.1109/AIAIM.2019.8632776
Dandan Hu, Zhiwei Liu, Ming Chi
{"title":"Multiple Periods Location and Capacity Optimization of Charging Stations for Electric Vehicle","authors":"Dandan Hu, Zhiwei Liu, Ming Chi","doi":"10.1109/AIAIM.2019.8632776","DOIUrl":"https://doi.org/10.1109/AIAIM.2019.8632776","url":null,"abstract":"With rapid growth of electric vehicles, the development of charging stations has to keep up. This paper proposes a multi-period location and capacity optimization model of charging stations, and introduces congestion rate to control the queuing situation. As the model is a NP-hard problem, two kinds of greedy algorithms are proposed, which are proved to be effective by lots of computational experiments.","PeriodicalId":179068,"journal":{"name":"2019 China-Qatar International Workshop on Artificial Intelligence and Applications to Intelligent Manufacturing (AIAIM)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131525482","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
Welcome Message 欢迎信息
2019 China-Qatar International Workshop on Artificial Intelligence and Applications to Intelligent Manufacturing (AIAIM) Pub Date : 1900-01-01 DOI: 10.1109/icitst.2016.7856648
S. Furnell, C. Shoniregun
{"title":"Welcome Message","authors":"S. Furnell, C. Shoniregun","doi":"10.1109/icitst.2016.7856648","DOIUrl":"https://doi.org/10.1109/icitst.2016.7856648","url":null,"abstract":"On behalf of the Organizing Committee of the 2019 China-Qatar International Workshop on Artificial Intelligence and Applications to Intelligent Manufacturing (AIAIM2019), we welcome you to attend this event taking place in Doha, Qatar during January 1-4, 2019. AIAIM2019 aims to provide a high-level international forum for scientists, engineers, and educators to present the state of the art of research and applications in computational intelligence and applications to intelligent manufacturing. The conference features plenary speeches given by world renowned scholars, regular sessions with broad coverage, and special sessions focusing on popular topics.","PeriodicalId":179068,"journal":{"name":"2019 China-Qatar International Workshop on Artificial Intelligence and Applications to Intelligent Manufacturing (AIAIM)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134499330","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
Realization of Prescribed Performance Control for DC Converter System in DC Microgrid via Finite-Time Sliding Mode Observer 利用有限时间滑模观测器实现直流微电网直流变换器系统的预定性能控制
2019 China-Qatar International Workshop on Artificial Intelligence and Applications to Intelligent Manufacturing (AIAIM) Pub Date : 1900-01-01 DOI: 10.1109/AIAIM.2019.8632785
Xingchen Xu, Z. Zeng, Qingshan Liu
{"title":"Realization of Prescribed Performance Control for DC Converter System in DC Microgrid via Finite-Time Sliding Mode Observer","authors":"Xingchen Xu, Z. Zeng, Qingshan Liu","doi":"10.1109/AIAIM.2019.8632785","DOIUrl":"https://doi.org/10.1109/AIAIM.2019.8632785","url":null,"abstract":"This paper investigates a prescribed performance controller design method for DC converter system in DC Microgrid based on finite-time disturbance observer (FTDO) by means of nonsingular terminal sliding mode control (NTSMC) design procedure. As a main contribution, prescribed performance controller design manner is employed to realize the layout of specific requirements of system performance. Then, FTDO is developed to estimate disturbances quickly and improve the robustness of the system. In addition, considering dynamic response speed of system, NTSMC is utilized to render a finite-time tracking result with tunable parameters for the DC converter system. Finally, numerical simulation results are displayed to demonstrate the dynamic performance of the proposed controller.","PeriodicalId":179068,"journal":{"name":"2019 China-Qatar International Workshop on Artificial Intelligence and Applications to Intelligent Manufacturing (AIAIM)","volume":"241 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122456266","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 Leaderless Impulsive Consensus of Nonlinear Multi-Agent Systems with Input Saturation 输入饱和非线性多智能体系统的分布式无领导脉冲一致性
2019 China-Qatar International Workshop on Artificial Intelligence and Applications to Intelligent Manufacturing (AIAIM) Pub Date : 1900-01-01 DOI: 10.1109/AIAIM.2019.8632774
Xiaolu Liu, Zhe Wang, Zongchuan Wang, Ping Song, Duxin Chen
{"title":"Distributed Leaderless Impulsive Consensus of Nonlinear Multi-Agent Systems with Input Saturation","authors":"Xiaolu Liu, Zhe Wang, Zongchuan Wang, Ping Song, Duxin Chen","doi":"10.1109/AIAIM.2019.8632774","DOIUrl":"https://doi.org/10.1109/AIAIM.2019.8632774","url":null,"abstract":"This work deals with the leaderless exponential consensus control problem of a class of Lipschitz nonlinear multiagent systems (MASs) with input saturation. Since each agent has nonlinear dynamics, the system is no longer asymptotically null controllable with bounded controls (ANCBC). As a result, the widely-accepted low-gain feedback method for designing consensus protocols of MASs with input saturation can no longer work. According to the stability theory of impulsive systems and with the properties of convex hull, corresponding distributed impulsive consensus protocols are proposed. Finally, the effectiveness of the proposed anti-saturation impulsive consensus algorithm is validated by extensive numerical experiments.","PeriodicalId":179068,"journal":{"name":"2019 China-Qatar International Workshop on Artificial Intelligence and Applications to Intelligent Manufacturing (AIAIM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129453155","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
Observer-Based Adaptive Fault-Tolerant Consensus Tracking of Multi-Agent Systems 基于观测器的多智能体系统自适应容错一致性跟踪
2019 China-Qatar International Workshop on Artificial Intelligence and Applications to Intelligent Manufacturing (AIAIM) Pub Date : 1900-01-01 DOI: 10.1109/AIAIM.2019.8632780
Dan Zhao, Junjie Fu
{"title":"Observer-Based Adaptive Fault-Tolerant Consensus Tracking of Multi-Agent Systems","authors":"Dan Zhao, Junjie Fu","doi":"10.1109/AIAIM.2019.8632780","DOIUrl":"https://doi.org/10.1109/AIAIM.2019.8632780","url":null,"abstract":"This paper addresses the issue of adaptive fault-tolerant leader-follower consensus tracking (AFTLFCT) for multi-agent systems encountered with actuator fault and and external influence. For the follower agent, a distributed AFTLFCT protocol is proposed which consists of the neighbor observer and fault measurements. Sufficient criteria for AFTLFCT is derived for the systems under consideration, where Lyapunov stability functions and algebraic Ricatti equations are adopted. Finally, the simulation results is presented to illustrate the validity of the protocol design.","PeriodicalId":179068,"journal":{"name":"2019 China-Qatar International Workshop on Artificial Intelligence and Applications to Intelligent Manufacturing (AIAIM)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134466897","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
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