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arXiv 2018年

作者： Zhang, Jun Wang, Fei-Yue Chen, Si-Yuan School of Electrical Engineering Wuhan University Wuhan430072 China State Key Laboratory of Management and Control for Complex System Institute of Automation Chinese Academy of Sciences Beijing100190 China Parallel Economic Research Institute Profile of Qingdao Academy of Intelligent Industries Qingdao266071

Traditional centralized energy systems have the disadvantages of difficult management and insufficient incentives. Blockchain is an emerging technology, which can be utilized in energy systems to enhance their management and control. Integrating token economy and blockchain technology, token economic systems in energy possess the characteristics of strong incentives and low cost, facilitating integrating renewable energy and demand side management, and providing guarantees for improving energy efficiency and reducing emission. This article describes the concept and functionality of token economics, and then analyzes the feasibility of applying token economics in the energy systems, and finally discuss the applications of token economics with an example in integrated energy systems. Copyright © 2018, The Authors. All rights reserved.

关键词： Emission control

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Interdependent order allocation in the two-echelon supply chain using agent-based negotiation 36

Interdependent order allocation in the two-echelon supply ch...

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第36届中国控制会议

作者： Jian Wang Huimin Miao System Engineering Institute School of AutomationHuazhong University of Science and Technology Key Laboratory of Image Processing and Intelligent Control Huazhong University of Science and Technology Hubei Province Key Laboratory of Systems Science in Metallurgical Process Wuhan University of Science and Technology

ISBN: (纸本)9781538629185

Nowadays,many researches study the negotiation-based order allocation problem in the supply chain environment,aiming to improve the efficiency of the allocation and the profits of the supply chain *** competition and cooperation in supplier’s side are mainly addressed because of independent *** this paper,we analyze an interdependent order allocation problem in a two-echelon supply *** supply chain consists of a manufacturer echelon and a supplier *** to the interdependence,both the competition and cooperation in the manufacturer echelon are *** agent-based negotiation algorithm is developed to support the order allocation process and the conflicts *** show in experiments that orders under various supply chain contexts can be successfully allocated through the algorithm.

关键词： Supply chain system order allocation agent-based negotiation

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State-of-charge estimation for li-ion batteries based on multi-strategy probabilities fusion

State-of-charge estimation for li-ion batteries based on mul...

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2017 Chinese automation Congress, CAC 2017

作者： Xiong, Fei Yang, Bo Gao, Yizhao Yang, Jun Chen, Cailian Guan, Xinping Department of Automation Shanghai Jiao Tong University Shanghai China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai China School of Mechanical Engineering Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9781538635247

The estimation of state-of-charge (SOC) is the fundamental technology to improve battery working status and life. But severe external environment, dynamic nonlinearity of battery model, and measurement errors make SOC estimation challengable. In this paper, a multi-strategy probabilities based fusion method is proposed. It can combine the dynamic tracking capability of Proportional-Integral Observer (PIO) and noise tolerance capability of extend Kalman filter (EKF). The different abnormal issues, such as internal resistance change, capacity attenuation, data saturation and initialization error, may have a serious impact on the estimates. While the proposed method can guarantee high accuracy estimation and robustness under these issues. It tracks the changes of residual sequence dynamically, and the weighting coefficient can be real-time adjusted according to Bayesian analysis. In simulation, we test the algorithm performance under a variety of current load conditions and abnormal issues. Compared to other model-based methods, the proposed approach performs higher accuracy and robustness with moderate computational complexity. © 2017 IEEE.

关键词： Lithium-ion batteries

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Path planning for solar-powered UAV in urban environment

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Neurocomputing 2018年 275卷 2055-2065页

作者： Jianfa Wu Honglun Wang Na Li Peng Yao Yu Huang Hemeng Yang School of Automation Science and Electrical Engineering Beihang University Beijing 100191 China Shenyuan Honors College of Beihang University Beijing 100191 China Science and Technology on Aircraft Control Laboratory Beihang University Beijing 100191 China Unmanned System Research Institute Beihang University Beijing 100191 China College of Engineering Ocean University of China Qingdao 266100 China Institute of Public Safety Research Tsinghua University Beijing 100084 China Tianjin Zhongwei Aerospace Data System Technology Co. Ltd Tianjin 300301 China

Aiming at the complexity and particularity of urban environment, a solar-powered UAV (SUAV) path planning framework is proposed in this paper. The framework can be decomposed into three aspects to resolve. First, to make SUAV avoid the building obstacles, a nature-inspired path planning method called Interfered Fluid Dynamical system (IFDS) is introduced. Aiming at the defect that the traditional IFDS is not suitable for SUAV energy optimization calculation, the dynamic constraints and model are introduced to IFDS. The modified IFDS, called Restrained IFDS (RIFDS), is proposed. Second, to resolve the path planning issue efficiently, a novel intelligent optimization algorithm called Whale Optimization Algorithm (WOA) is selected as the basic framework solver. To further overcome the drawback of local minima, adaptive chaos-Gaussian switching solving strategy and coordinated decision-making mechanism are introduced to the basic WOA. The modified algorithm, called Improved WOA (IWOA), is proposed. Third, to solve the accurate modeling problem of solar energy in urban environment, two measures are adopted: (1) A practical judgment method for sunlight occlusions is proposed; (2) Aiming at some unreasonable aspects in the solar energy production model, the received solar energy is modified and recalculated by ASHRAE Clear Sky Model and the solar irradiance calculation principle for slant surfaces in this paper. Finally, the effectiveness of the proposed framework is tested by the simulations.

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Formation control for High-Order Multi-agent systems with Unknown Dynamics

Formation Control for High-Order Multi-agent Systems with Un...

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IEEE Chinese Guidance, Navigation and control Conference (CGNCC)

作者： Qing Wang Yu’ang Liu Chaoyang Dong Min Zhou Kewei Zhong School of Automation Science and Electrical Engineering Beihang University Beijing People’s Republic of China Science and Technology on Special System Simulation Laboratory Beijing Simulation Center Beijing People’s Republic of China Shanghai Aerospace Control Technology Institute Shanghai People’s Republic of China

ISBN: (数字)9781538611715

ISBN: (纸本)9781538611722

A novel formation control approach is provided for a class of high-order multi-agent systems (MASs) subject to unknown dynamics via active disturbance rejection control (ADRC). First, the formation control problem is converted into the stability problem under the connected topology structure assumption. Then, the unknown dynamics is observed by the designed extended state observer (ESO) and compensated realtime. It is shown that the predefined time-varying formation function is achieved rapidly and stably under the distributed controller using only local neighbor information for each agent. Finally, numerical examples are presented to demonstrate the effectiveness of the theoretical results.

关键词： Aerodynamics Protocols Uncertainty Observers Nonlinear dynamical systems Multi-agent systems

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Stability and Performance Analysis of Saturated systems Using an Enhanced Max Quadratic Lyapunov Function

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IFAC-PapersOnLine 2017年第1期50卷 11847-11852页

作者： Li Y. Lin Z. Li N. Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing of Ministry of Education Shanghai 200240 China Charles L. Brown Department of Electrical and Computer Engineering University of Virginia Charlottesville VA 22904-4743 United States

This paper revisits the problem of estimating the domain of attraction and the nonlinear L2 gain of a saturated system with an algebraic loop. A max quadratic Lyapunov function, the maximum function of a group of quadratic Lyapunov functions, is proposed for use in the stability and performance analysis for a saturated system. The max quadratic Lyapunov function involves a partitioning of the state space. Exploiting the special properties of regions of the state space, we propose in this paper an enhanced max quadratic Lyapunov function, which results from adding a term that characterizes the regions of the state space to the max quadratic Lyapunov function. The matrix associated with the enhanced max quadratic Lyapunov function is not required to be positive definite, and thus a set of less conservative stability and performance conditions are established, from which a larger estimate of the domain of attraction and a tighter estimate of the nonlinear L2 gain can be obtained. Simulation results indicate the effectiveness and superiority of the proposed method. © 2017

关键词： Domain of attraction enhanced max quadratic Lyapunov functions input saturation L2 gain

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Finite-time model-assisted active disturbance rejection control with a novel parameters optimizer for hypersonic reentry vehicle subject to multiple disturbances

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Aerospace Science and Technology 2018年 79卷 588-600页

作者： Yue Yu Honglun Wang Na Li Huiping Zhang Zikang Su Xingling Shao School of Automation Science and Electrical Engineering Beihang University Beijing 100191 China Science and Technology on Aircraft Control Laboratory Beihang University Beijing 100191 China Unmanned System Research Institute Beihang University Beijing 100191 China School of Automation Beijing Institute of Technology Beijing 100081 China Beijing Aerospace Automatic Control Institute Beijing 100854 China Key Laboratory of Instrumentation Science & Dynamic Measurement Ministry of Education North University of China Taiyuan 030051 China National Key Laboratory for Electronic Measurement Technology School of Instrument and Electronics North University of China Taiyuan 030051 China

In this paper, a scheme which combines finite-time model-assisted active disturbance rejection control and novel greedy criterion-based salp swarm algorithm is developed for attitude tracking problem of hypersonic reentry vehicle with multiple disturbances. To simplify control structure, the control scheme is designed within the framework of active disturbance rejection control completely. To lessen tuning parameters, a sigmoid function-based tracking differentiator is employed to generate a more realizable attitude transient profile instead of utilizing conventional nonlinear tracking differentiator. Taking known model information as model-assisted term, finite-time model-assisted extended state observers are constructed to estimate the lumped disturbance in attitude and angular rate loop with employment of function fal . To achieve rapid response and strong robustness, finite-time model-assisted control laws are derived by utilizing function fhan . Finally, a novel greedy criterion-based salp swarm algorithm is used to optimize control parameters in finite-time model-assisted control laws to achieve optimal solution that minimizes the tracking error and energy consumption. Comparative simulations are conducted to illustrate the effectiveness of the proposed scheme.

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Model and Algorithms for Competitiveness Maximization on Complex Networks

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IFAC-PapersOnLine 2017年第1期50卷 9438-9443页

作者： Zhao J. Liu Q. Wang L. Wang X. Chen G. Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai China Institute of Complexity Science Qingdao University Qingdao China Department of Electronic Engineering City University of Hong Kong Hong Kong Hong Kong

In this paper we study a competition model on complex networks, where two competing agents are fixed to different states while other agents are evolving to update their states through interactions according to a distributed consensus rule. We consider the situation where one competitor has the opportunity to add new links to other evolving agents such that it could improve its influence on the number of its supporters. We focus on the problem of how to add these new links in order to maximize the influence of a competitor against its rival, referred to as competitiveness. We formulate this competition as a competitiveness maximization problem, which tries to maximize the number of supports of a given competitor against its rival. We analyze the properties of this problem on some special graphs and provide optimal solutions for them, respectively. We design a simulated annealing algorithm and three heuristic algorithms to approximately solve this NP-hard constrained optimization problem. © 2017

关键词： Competitive dynamics complex network heuristic algorithm simulated annealing algorithm

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Dynamical analysis of fractional-order financial system with delay 5

Dynamical analysis of fractional-order financial system with...

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5th International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2017

作者： Zhang, Zhe Liu, Feng Zhang, Jin Sun, Fenglan Ren, Jie School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China College of Electrical and Information Engineering Hunan University Hunan410082 China Research Center of System Theory and Application Chongqing University of Posts and Telecommunications Chongqing400065 China

This paper we investigates the problem of stability and bifurcation of fractional-order financial system time-delay via the Lyapunov stability judgment method and application of impulse control method. Finally, a numerical simulation example is provided to verify the effectiveness and the benefit of the proposed stability and bifurcation criterion.

关键词： Bifurcation (mathematics)

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Finite-Time decoupling direct control for hypersonic reentry vehicle with multiple disturbances via second-order ADRC

Finite-Time decoupling direct control for hypersonic reentry...

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2017 IEEE International Conference on Robotics and Biomimetics, ROBIO 2017

作者： Yu, Yue Wang, Honglun Li, Na Zhang, Huiping Liu, Chang School of Automation Science and Electrical Engineering Science and Technology on Aircraft Control Laboratory Beihang University Beijing 100191 China Unmanned System Research Institute Beihang University Beijing 100191 China School of Automation Beijing Institute of Technology and Beijing Aerospace Automatic Control Institute Beijing 100081 China

ISBN: (纸本)9781538637432;9781538637425

In this paper, a novel finite-Time decoupling direct control (FDDC) scheme is proposed for attitude tracking problem of hypersonic reentry vehicle (HRV) based on second-order active disturbance rejection control (SADRC). Unlike traditional control method which separates control system into outer-loop attitude control and inner-loop angular rate control, attitude is controlled by control actuator straightforward with single loop. Firstly, the attitude tracking problem is converted to the decoupling control problem of a three-input and three-output cross coupling system. In each channel, a SADRC controller, which is composed of tracking differentiator (TD), extended state observer (ESO) and nonlinear state error feedback (NLSEF), is designed to track attitude command of the corresponding channel in a finite-Time sense. Finally, the obtained virtual control input is transformed into actual control input, which acts on the HRV model. Simulations are conducted to verify the effectiveness of the proposed control scheme. © 2017 IEEE.

关键词： decoupling control extended state observer (ESO) finite-Time second-order active disturbance rejection control (SADRC)

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