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Neighborhood Interval Observer Based Coordination control for Multi-agent Systems with Disturbances ⁎

IFAC-PapersOnLine 2020年第2期53卷 10994-10999页

作者： Xiaoling Wang Guo-Ping Jiang Wen Yang Housheng Su Xiaofan Wang College of Automation Nanjing University of Posts and Telecommunications Nanjing 210023 China and also with Jiangsu Engineering Lab for IOT Intelligent Robots (IOTRobot) Nanjing 210023 China Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai 200237 China School of Artifcial Intelligence and Automation Image Processing and Intelligent Control Key Laboratory of Education Ministry of China Huazhong University of Science and Technology Luoyu Road 1037 Wuhan 430074 China Department of Automation Shanghai University Shanghai 200072 China

This paper focuses on multi-agent systems with uncertain disturbances, in which only the bounding functions on the disturbances and the bounds on the initial state of each agent are known. By designing a neighborhood interval observer for this kind of multi-agent system, the estimation of the sum of the relative state of each agent associated with itself and its neighbors is frstly realized. Then, on the basis of these estimated information, local control algorithm is designed to drive the system to achieve bounded consensus.

关键词： Multi-agent system disturbance neighborhood interval observer bounded consensus

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Fixed-Time Consensus for Multi-Agent Systems Under Directed and Switching Interaction Topology

Fixed-Time Consensus for Multi-Agent Systems Under Directed ...

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American control Conference

作者： Zongyu Zuo Wen Yang Lin Tie Deyuan Meng The Seventh Research Division Beihang University (BUAA) Beijing 100191 China Key Laboratory of Advanced Control and Optimization for Chemical Processes (East China University of Science and Technology) Ministry of Education Shanghai 200237 China School of Automation Science and Electrical Engineering Beihang University (BUAA) Beijing 100191 China

ISBN: (纸本)9781479932757

In this paper, we address the fixed-time consensus problem for multi-agent systems in networks with directed and switching interaction topology. With the introduction of mirror operation, two global distributed nonlinear consensus protocols are constructed for each first-order agent under strongly connected information flow. The distinctive feature of this paper is to address the explicit bounds of the finite settling time for both protocols are independent of initial condition, which makes it possible for network consensus problems of a multi-agent team with guaranteed convergence time. Further, the second protocol is valid for the networks of multi-agents with switching topology provided that the sum of time intervals, in which the information flow is strongly connected, is larger than the estimated upper-bound for settling time. Finally, simulations are provided to demonstrate the performance and effectiveness of our theoretical results.

关键词： Protocols Switches Topology Multi-agent systems Network topology Convergence Eigenvalues and eigenfunctions

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Quasi-Synchronization of Heterogeneous Lur'e Networks With Impulsive Feedback control

Quasi-Synchronization of Heterogeneous Lur'e Networks With I...

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第40届中国控制会议

作者： Chongfang Jin Sangli Shi Zhengxin Wang Wangli He Guo-Ping Jiang School of Science Nanjing University of Posts and Telecommunications Jiangsu Engineering Lab for IOT Intelligent Robots (IOTRobot) Nanjing University of Posts and Telecommunications The Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of EducationEast China University of Science and Technology School of Automation Nanjing University of Posts and Telecommunications

The target of this paper is studying the quasi-synchronization problems of the heterogeneous Lur'e networks with impulsive feedback control. By introducing impulsive feedback control, the heterogeneous Lur'e network is analyzed. The sufficient condition for guaranteeing quasi-synchronization is derived by means of linear matrix inequality(LMI), the Schur complement and the principle of comparison. More over, the upper bound of exponential quasi-synchronization errors is further calculated. Finally, the numerical simulations are presented to illustrate the effectiveness of the control protocol and theoretical results.

关键词： Exponential quasi-synchronization Lur'e network Feedback Impulsive control

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Impulsive synchronization of two nonidentical chaotic systems with time-varying delay

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Physics Letters A 2011年第3期375卷 498-504页

作者： Wangli He Feng Qian Jinde Cao Qing-Long Han The Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai 200237 China Centre for Intelligent and Networked Systems Central Queensland University Rockhampton QLD 4702 Australia School of Information and Communication Technology Central Queensland University Rockhampton QLD 4702 Australia Department of Mathematics Southeast University Nanjing 210096 China

This Letter investigates synchronization of two nonidentical Lur'e systems with time-varying delay and parameter mismatches via impulsive control. Based on the theory of impulsive functional differential equations, sufficient conditions for impulsive synchronization with a bound on the synchronization error are derived. An illustrative example is provided to validate the proposed method.

关键词： Impulsive synchronization Impulsive control Nonidentical chaotic systems Time-varying delay

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Teaching-Learning-Based Optimization with Learning Enthusiasm Mechanism and Its Application in chemical Engineering

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Journal of Applied Mathematics 2018年第none期2018卷 1-19页

作者： Chen, Xu Xu, Bin Yu, Kunjie Du, Wenli School of Electrical and Information Engineering Jiangsu University Zhenjiang Jiangsu212013 China Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai200237 China School of Mechanical Engineering Shanghai University of Engineering Science Shanghai201620 China School of Electrical Engineering Zhengzhou University Zhengzhou450001 China

Teaching-learning-based optimization (TLBO) is a population-based metaheuristic search algorithm inspired by the teaching and learning process in a classroom. It has been successfully applied to many scientific and engineering applications in the past few years. In the basic TLBO and most of its variants, all the learners have the same probability of getting knowledge from others. However, in the real world, learners are different, and each learner's learning enthusiasm is not the same, resulting in different probabilities of acquiring knowledge. Motivated by this phenomenon, this study introduces a learning enthusiasm mechanism into the basic TLBO and proposes a learning enthusiasm based TLBO (LebTLBO). In the LebTLBO, learners with good grades have high learning enthusiasm, and they have large probabilities of acquiring knowledge from others;by contrast, learners with bad grades have low learning enthusiasm, and they have relative small probabilities of acquiring knowledge from others. In addition, a poor student tutoring phase is introduced to improve the quality of the poor learners. The proposed method is evaluated on the CEC2014 benchmark functions, and the computational results demonstrate that it offers promising results compared with other efficient TLBO and non-TLBO algorithms. Finally, LebTLBO is applied to solve three optimal control problems in chemical engineering, and the competitive results show its potential for real-world problems. © 2018 Xu Chen et al.

关键词： Computational efficiency

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A federated data-driven evolutionary algorithm

arXiv

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arXiv 2021年

作者： Xu, Jinjin Jin, Yaochu Du, Wenli Gu, Sai Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai200237 China Department of Computer Science University of Surrey GuildfordGU2 7XH United Kingdom Department of Chemical and Process Engineering University of Surrey GuildfordGU27XH United Kingdom

Data-driven evolutionary optimization has witnessed great success in solving complex real-world optimization problems. However, existing data-driven optimization algorithms require that all data are centrally stored, which is not always practical and may be vulnerable to privacy leakage and security threats if the data must be collected from different devices. To address the above issue, this paper proposes a federated data-driven evolutionary optimization framework that is able to perform data driven optimization when the data is distributed on multiple devices. On the basis of federated learning, a sorted model aggregation method is developed for aggregating local surrogates based on radial-basis-function networks. In addition, a federated surrogate management strategy is suggested by designing an acquisition function that takes into account the information of both the global and local surrogate models. Empirical studies on a set of widely used benchmark functions in the presence of various data distributions demonstrate the effectiveness of the proposed framework. © 2021, CC BY.

关键词： Optimization

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Experimental verification of group non-membership in optical circuits

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Photonics Research 2021年第9期9卷 1745-1751页

作者： KAI SUN ZI-JIAN ZHANG FEI MENG BIN CHENG ZHU CAO JIN-SHI XU MAN-HONG YUNG CHUAN-FENG LI GUANG-CAN GUO CAS Key Laboratory of Quantum Information University of Science and Technology of ChinaHefei 230026China CAS Center for Excellence in Quantum Information and Quantum Physics University of Science and Technology of ChinaHefei 230026China Department of Physics Southern University of Science and TechnologyShenzhen 518055China Department of Computer Science The University of Hong KongPokfulamHong Kong SARChina Centre for Quantum Software and Information Faculty of Engineering and Information TechnologyUniversity of Technology SydneySydneyNSW 2007Australia Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and TechnologyShanghai 200237China Shenzhen Institute for Quantum Science and Engineering Southern University of Science and TechnologyShenzhen 518055China Shenzhen Key Laboratory of Quantum Science and Engineering Southern University of Science and TechnologyShenzhen 518055China

The class quantum Merlin–Arthur(QMA),as the quantum analog of nondeterministic polynomial time,contains the decision problems whose YES instance can be verified efficiently with a quantum *** problem of deciding the group non-membership(GNM)of a group element is conjectured to be a member of *** works on the verification of GNM,which still lacks experimental demonstration,required a quantum circuit with O(n~5)group oracle ***,we provide an efficient way to verify GNM problems,in which each quantum circuit only contains O(1)group of oracle calls,and the number of qubits in each circuit is reduced by *** on this protocol,we then experimentally demonstrate the new verification process with a four-element group in an all-optical *** new protocol is validated experimentally by observing a significant completeness-soundness gap between the probabilities of accepting elements in and outside the *** work efficiently simplifies the verification of GNM and is helpful in constructing more quantum protocols based on the near-term quantum devices.

关键词： quantum element polynomial

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Analysis and discussion of group mobility management in ubiquitous network

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Nanjing Li Gong Daxue Xuebao/Journal of Nanjing University of Science and Technology 2012年第SUPPL.2期36卷 299-305页

作者： Cao, Jian-Fu Ling, Zhi-Hao Yuan, Yi-Feng School of Information Science and Engineering East China University of Science and Technology Shanghai 200237 China Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education Shanghai 200237 China

In order to research the group mobility management technology, the research progress of group mobility management in ubiquitous network is summarized. Based on the new features of the ubiquitous network, the structures, performances and application fields of group mobility model are discussed, and some key technologies such as context awareness, service decision-making, cooperative transmission and radio resource management are also introduced. Aiming at the challenges in this filed, some solutions and valuable research directions are proposed.

关键词： Decision making

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Improving differential evolution with impulsive control framework

Improving differential evolution with impulsive control fram...

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Congress on Evolutionary Computation

作者： Wei Du Sunney Yung Sun Leung Chun Kit Kwong Yang Tang Institute of Textiles and Clothing The Hong Kong Polytechnic University Hong Kong Hong Kong Polytechnic University Kowloon HK Department of Industrial and Systems Engineering The Hong Kong Polytechnic University Hong Kong The Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China

ISBN: (纸本)9781479974931

Differential evolution (DE) is a simple but powerful evolutionary algorithm, which has been widely and successfully used in many areas. In this paper, an impulsive control method is introduced to the DE framework, and the impulsive DE (IpDE) is proposed for improving the performance of DE. The impulsive control operation instantly moves the individuals which do not update for continuous pre-defined generations to a desired state based on the individuals with better fitness values in the current population. This way, IpDE controls individuals' positions in the space domain according to the stagnation status of the population. In order to validate the effectiveness of IpDE, the presented framework is applied to the original DE algorithms, as well as several state-of-the-art DE variants. Experimental results exhibit that IpDE is a simple but effective framework to improve the performance of the studied DE algorithms.

关键词： Sociology Statistics Optimization Radiation detectors Aerospace electronics Hybrid power systems Evolution (biology)

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Robust order scheduling in the fashion industry: A multi-objective optimization approach

arXiv

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arXiv 2017年

作者： Du, Wei Tang, Yang Leung, Sunney Yung Sun Tong, Le Vasilakos, Athanasios V. Qian, Feng Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai200237 China Institute of Textile and Clothing Hong Kong Polytechnic University Hong Kong Hong Kong Department of Computer Science Electrical and Space Engineering Lulea University of Technology Lulea97187 Sweden

—In the fashion industry, order scheduling focuses on the assignment of production orders to appropriate production lines. In reality, before a new order can be put into production, a series of activities known as pre-production events need to be completed. In addition, in real production process, owing to various uncertainties, the daily production quantity of each order is not always as expected. In this research, by considering the pre-production events and the uncertainties in the daily production quantity, robust order scheduling problems in the fashion industry are investigated with the aid of a multi-objective evolutionary algorithm (MOEA) called nondominated sorting adaptive differential evolution (NSJADE). The experimental results illustrate that it is of paramount importance to consider pre-production events in order scheduling problems in the fashion industry. We also unveil that the existence of the uncertainties in the daily production quantity heavily affects the order scheduling. Copyright © 2017, The Authors. All rights reserved.

关键词： Multiobjective optimization

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