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Quantized Consensus of Linear Multi-Agent Systems Under An Event-triggered Strategy ⁎

IFAC-PapersOnLine 2020年第2期53卷 1813-1818页

作者： Tinghui Luo Wangli He Wenying Xu The Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China School of Mathematics Southeast University Nanjing 21189 China

This paper addresses a quantized consensus problem of general linear multi-agent systems in a symmetric network under an event-triggered scheme. Firstly, a distributed event-triggered strategy is developed with a dynamic threshold to reduce the unnecessary control update. Then, based on absolute quantized state measurements, a distributed controller is proposed and then a consensus criterion is derived, which ensures bounded consensus of linear multi-agent systems. The Zeno behavior is also successfully excluded. Finally, a numerical simulation is presented to validate theoretical results.

关键词： Multi-agent systems quantized consensus event-triggered strategy

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Stabilization of LTI Systems over Finite-State Fading Channels

Stabilization of LTI Systems over Finite-State Fading Channe...

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第26届中国控制与决策会议

作者： Nan Xiao Yugang Niu Lihua Xie Key Laboratory of Advanced Control and Optimization for Chemical Process (East China University of Science and Technology) Ministry of Education EXQUISITUS Centre for E-CitySchool of Electrical and Electronic EngineeringNanyang Technological University

ISBN: (纸本)9781479937097

This paper considers the state feedback stabilization over finite-state fading channels, where the stochastic characteristic of time-varying fading channels is assumed to be driven by a finite-state random process. The finite-state process is used to represent different channel fading amplitudes and/or to model different configurations of the overall physical environment. Necessary and sufficient conditions are given for stabilization over finite-state Markov fading *** the case of finite-state i.i.d. fading channels, explicit network requirements for stabilization are presented for both single-input case and multi-input case. Our results cover some existing results as special cases.

关键词： Feedback Stabilization,Finite-State Fading Channels,Networked control

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Delay-dependent synchronization criteria for delayed chaotic systems with parameter mismatches

Delay-dependent synchronization criteria for delayed chaotic...

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作者： He, Wangli Qian, Feng Han, Qing-Long 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 And School of Information and Communication Technology Central Queensland University Rockhampton 4702 Australia

ISBN: (纸本)9789881725592

This paper investigates synchronization between two delayed chaotic systems with parameter mismatches. Based on Lyapunov functional approach and generalized Halanay inequality, some delay-dependent criteria are derived to guarantee the synchronization error converges to a bounded ball, whose radius, referred to as the error level, is also estimated. Moreover, an optimization algorithm is established for error level estimate, and the feedback matrix design is also addressed. Finally, a chaotic neural network is used to illustrate the effectiveness of the proposed method. © 2011 Chinese Assoc of Automati.

关键词： Synchronization

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Optimal control Nodes Selection for Consensus in Multi-agent Systems

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IFAC Proceedings Volumes 2014年第3期47卷 11697-11702页

作者： Wen Yang Xiaofan Wang Hongbo Shi Key Laboratory of Advanced Control and Optimization for Chemical Processes (East China University of Science and Technology) Ministry of Education Shanghai 200237 Department of Automation Shanghai Jiaotong University Shanghai 200240

In a resource limited multi-agent system, it is of practical importance to select a fraction of nodes (agents) to provide control inputs such that consensus can be achieved with optimized performance in terms of network cost and/or convergence speed. In this paper, we investigate the problem of how to select control nodes so as to minimize the network cost, where the control nodes are selected at the beginning and will be fixed all the time. This problem can be transformed to a combinatorial optimization problem, and further relaxed to a convex optimization problem with reweighted l 1 norm. We propose a suboptimal algorithm to solve the convex optimization problem. Finally, we offer several numerical examples to illustrate the efficiency of the proposed strategies, and investigate the relationship how the degrees of control nodes will influence network cost and convergence speed.

关键词： Node selection Convex optimization Multi-agent systems

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Simulation and optimization of acetylene converter with decreasing catalyst activity

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Huagong Xuebao/CIESC Journal 2012年第1期63卷 185-192页

作者： Tian, Liang Jiang, Da Qian, Feng Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology Shanghai 200237 China Olefins Department SINOPEC Shanghai Petrochemical Company Limited Shanghai 200540 China

Since the activity and selectivity of acetylene hydrogenation catalyst change with time, the operating parameters need to be changed to maximize the profit. Therefore, we collected the industrial process data and estimated the parameters of kinetic model and deactivation model by genetic algorithm. We compared the selectivity and activity performance of two commonly used catalysts. For two reactors in series filled with different catalysts, we proposed the methods of combinatorial optimization and ratio assignment to optimal ethylene production rate. When these optimization strategies were implemented in the actual plant, ethylene production rate and the total selectivity increased significantly. © All Rights Reserved.

关键词： Combinatorial optimization

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Kinetics of COx formation in the homogeneous metal/bromide-catalyzed aerobic oxidation of p-xylene

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International Journal of chemical Kinetics 2012年第5期44卷 277-283页

作者： Sun, Weizhen An, Meiying Zhong, Weimin Zhao, Ling State Key Laboratory of Chemical Engineering East China University of Science and Technology Shanghai 200237 China Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai 200237 China

The homogeneous metal/bromide-catalyzed aerobic oxidation of p-xylene with different catalyst concentrations was carried out, and the formation kinetics of COx including CO2 and CO was measured. The simplified elementary steps for the formation of COx were summarized, on the basis of which the kinetic model of COx formation was established. The model calculations were in good agreement with the experimental data for the CO2 formation and also successfully captured the first peak of the CO formation rate as a function of time. The obtained rate constants have narrow confidence intervals, among which only k1 and k2 are the adjustable parameters for different catalyst conditions. The decarboxylation of the carboxyl group in aromatic acid, the oxidation of the aryl radical, and the destruction of acetic acid are the major sources of CO2. The formation of CO mainly results from the destruction of acetic acid and the oxidation of the aryl radical. Copyright © 2012 Wiley Periodicals, Inc.

关键词： Acetic acid

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Majorization Theory in Sensor Scheduling

Majorization Theory in Sensor Scheduling

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IEEE Annual Conference on Decision and control

作者： Chao Yang Wen Yang Hongbo Shi Key Laboratory of Advanced Control and Optimization for Chemical Processes Dept. of Automation East China University of Science and Technology Shanghai China 200237

ISBN: (纸本)9781479978878

This paper presents that the majorization theory plays an essential role in a class of sensor scheduling problems, whose solutions all have periodic or uniformly distributed patterns. This paper revisits the problem of communication time scheduling for a single sensor with local computation capability, and strengthens its original result by the majorization theory. The scheduling for a single normal sensor in a general-order system is also studied, and the optimal schedules for minimizing the upper bound of the objective function is provided. Examples are provided at the end.

关键词： Sensors Objective function Reinforcement Optimal scheduling

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Automatic ocular artifact suppression from human operator's EEG based on a combination of independent component analysis and fuzzy c-means clustering techniques

Automatic ocular artifact suppression from human operator's ...

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作者： Wang, Raofen Zhang, Jianhua Wang, Xingyu Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai 200237 China

ISBN: (纸本)9789881725592

Independent component analysis (ICA) and fuzzy c-means (FCM) clustering were adopted for automatic ocular artifact suppression from operator's electroencephalogram. Firstly, ICA was applied to the 20s data containing nine channels of EEG data and one of electrooculagram (EOG) data. Secondly, each 20s independent component (IC) was partitioned into ten 2 s epochs. And five features of each epoch were calculated, which are wavelet entropy, power in the band between 0 and 5 Hz, kurtosis, mutual information and correlation. Thirdly, the epochs were classified as either EEG or ocular artifact based on the result of FCM clustering. And then components which were recognized as ocular artifact were rejected. Clean EEG was obtained. The result shows that the method based on ICA and FCM can be applied to online automatic ocular artifact suppression from EEG. © 2011 Chinese Assoc of Automati.

关键词： Independent component analysis

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UCAV Path Planning Based on Improved Chaotic Particle Swarm optimization

UCAV Path Planning Based on Improved Chaotic Particle Swarm ...

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Chinese Automation Congress (CAC)

作者： Pengfei Wu Tao Li Gongfei Song School of Automation Nanjing University of Information Science and Technology Nanjing China Key Laboratory of Advanced Control and Optimization for Chemical Processes Shanghai China

ISBN: (数字)9781728176871

ISBN: (纸本)9781728176888

This paper presents an improved particle swarm optimization (PSO) algorithm based on the chaos of Zaslavskii to solve the path planning problem of Uninhabited Combat Air Vehicle (UCAV) in the threat battlefield. The proposed method uses the characteristics of traditional particle swarm optimization algorithm, such as fast convergence speed, ergodicity, randomness of chaotic motion and sensitivity to initial value. The chaos mapping formula of Zaslavskii is used to generate chaotic sequence and improves the inertia weight and random variables of PSO algorithm. The improved PSO algorithm is applied to bear on the problem of path planning of UCAV. It gradually escapes from the local optimal path and find the global optimal path in the complex and changeable battlefield environment. The simulation results show that the improved PSO algorithm can effectively accelerate the convergence speed and improve the optimal trajectory.

关键词： Particle swarm optimization Convergence Path planning optimization Heuristic algorithms Standards Chaos

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Target to efficient stimulus presentation sequence for P300 BCI

Target to efficient stimulus presentation sequence for P300 ...

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2011年中国智能自动化学术会议

作者：王冠坤金晶王行愚 Key Laboratory of Advanced Control and Optimization for Chemical Processes(Ministry of Education) School of Information Science and EngineeringEast China University of Science and Technology

The P300 potential is a positive peak of an event-related potential(ERP) that happens at 300 ms after a *** this study,both offline and online stages were carried out in the *** motivation of this paper is to compare two different P300 brain-computer interfaces(BCIs) which were evoked by random stimulus and non-random stimulus *** offline data demonstrated that the random stimulus induced a higher P300 amplitude and classification accuracy than the non-random *** offline data were used to train the Bayesian linear discriminate analysis(BLDA),which was used in offline experiment. The online results further proved that random stimulus P300 BCI yields better performance than non-random stimulus P300 BCI.

关键词： brain-computer interface P300 non-random stimulus random stimulus

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