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Annual Conference of Industrial Electronics Society

作者： Bo-Chao Zheng Yanmei Xue Guoying Miao Kun Li Key Laboratory of Measurement and Control of Complex Systems of Engineering Southeast University Nanjing China School of Mathematics and Statistics Nanjing University of Information Science and Technology Nanjing China CICAEET Nanjing University of Information Science and Technology Nanjing China School of Information and Control Nanjing University of Information Science and Technology Nanjing China

In this paper, the analysis of quantized effect on robust distributed consensus of linear uncertain multi-agent systems(MASs) via sliding-mode control(SMC) is investigated. Two kinds of phenomena on input quantization, including quantization mismatch and quantization measurement saturation, are analyzed. It shows that robust distributed consensus of linear uncertain MASs via SMC strategy might not be well achieved when the two kinds of quantization phenomena are ignored in the control design. Several research ideas for quantized feedback robust consensus via SMC strategy are finally discussed.

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Integrated capacity planning and production control of a parallel-machine manufacturing system

Integrated capacity planning and production control of a par...

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2016 IEEE International Conference on Automation Science and engineering, CASE 2016

作者： Chen, Wenliang Wang, Zheng Key Laboratory of Measure and Control of Complex Engineering Systems School of Automation Southeast University Nanjing Jiangsu210096 China

ISBN: (纸本)9781509024094

Optimal capacity planning and optimal production control are both very important to the improvement of the performance of a manufacturing system. However, in existing research and practice, the two problems are usually studied separately, although they actually depend on each other. In this paper, we investigate the problem of integrated capacity planning and production control of a multiple-parallel machine and single-part-type manufacturing system, in which every machine has the same maximum production rate, failure rate and repair rate, so that better performances on both sides can be obtained. To solve this problem, firstly, we develop the method of computing the probability distribution of the state variables for a parallel-machine system under the hedging point policy. Based on that, the average production cost for inventory holding and demand backlog are evaluated. A derivative-based analytical method of optimizing the hedging point is proposed to minimize the production cost, and a binary search algorithm is employed to optimize the production capacity. Finally, numerical experiments are conducted to verify the feasibility of this method, and the effectiveness of this algorithm. © 2016 IEEE.

关键词： Production control

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Data-based robust near-optimal decentralized stabilization of unknown large-scale systems

Data-based robust near-optimal decentralized stabilization o...

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IEEE Symposium Series on Computational Intelligence (SSCI)

作者： Bo Zhao Derong Liu Yuanchun Li State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China School of Automation Guangdong University of Technology Guangzhou China Department of Control Science and Engineering Changchun University of Technology Changchun China

This paper investigates a data-based robust decentralized stabilizing control scheme for unknown large-scale systems via adaptive critic designs. The control consists of near-optimal stabilizing control and adaptive robustifying compensation. In order to avoid the common assumptions of boundedness and matched condition on interconnections, the actual states of interconnected subsystems are replaced with their desired ones. By using local input-output data, the subsystem dynamics can be obtained by neural network (NN) identifier. Then, with the help of local critic NN, the near-optimal decentralized control is derived via identifier-critic architecture for corresponding subsystems. Considering the replacement error, identification error and approximation error as overall error, an adaptive robustifying term is added to overcome it in real-time. Simulation example is given to verify the effectiveness of the present control scheme.

关键词： Integrated circuits Robustness Artificial neural networks Cost function Decentralized control Approximation error Adaptive systems

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On the nonexistence of event-based triggers that preserve Gaussian state in presence of package-drop

On the nonexistence of event-based triggers that preserve Ga...

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American control Conference

作者： Enoch Kung Junfeng Wu Dawei Shi Ling Shi Electronic and Computer Engineering Hong Kong University of Science and Technology Department of Automatic Control The Royal Institute of Technology (KTH) State Key Laboratory of Intelligent Control and Decision of Complex Systems School of Automation Beijing Institute of Technology

ISBN: (纸本)9781509045839

State estimation is a core objective in cyber-physical systems. In the state estimation problem over linear systems, the Kalman filter is the standard solution. The filter is the format on which the solutions to subsequent estimation problems are based. Among these problems are the estimation problem in the presence of packet drops and estimation problem involving event-based triggers. We study in this paper both phenomena simultaneously. In an attempt to find the Kalman-like filter, which proves the Gaussianity of the state and offers a set of update equations, our paper shows that no such filter exists. More precisely, one cannot find an event-based trigger such that under possible packet drops, the state variable remains a Gaussian variable. This conclusion can be reasonably extended to a more general setting.

关键词： State estimation Packet drops Event-based triggers State estimation Event-based Filters State variable TRIGGERS Gauss

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Bifurcation behaviors of an Euler discretized inertial delayed neuron model

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Science China(Technological Sciences) 2016年第3期59卷 418-427页

作者： HE Xing LI ChuanDong HUANG TingWen YU JunZhi School of Electronics and Information Engineering Southwest University Chongqing 400715 China Texas A & M University at Qatar Doha 5825 Qatar State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China

This paper presents an Euler discretized inertial delayed neuron model, and its bifurcation dynamical behaviors are discussed. By using the associated characteristic model, center manifold theorem and the normal form method, it is shown that the model not only undergoes codimension one(flip, Neimark-Sacker) bifurcation, but also undergoes cusp and resonance bifurcation(1:1 and 1:2) of codimension two. Further, it is found that the parity of delay has some effect on bifurcation behaviors. Finally, some numerical simulations are given to support the analytic results and explore complex dynamics, such as periodic orbits near homoclinic orbits, quasiperiodic orbits, and chaotic orbits.

关键词： resonance bifurcation Euler discretized inertial delayed neural network

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Distributed computation of linear matrix equations: An optimization perspective

arXiv

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arXiv 2017年

作者： Zeng, Xianlin Liang, Shu Hong, Yiguang Chen, Jie Key Laboratory of Intelligent Control and Decision of Complex Systems School of Automation Beijing Institute of Technology Beijing100081 China Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing100083 China Key Laboratory of Systems and Control Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing100190 China Ministry of Education Beijing100081 China

This paper investigates the distributed computation of the well-known linear matrix equation in the form of AXB = F, with the matrices A, B, X, and F of appropriate dimensions, over multiagent networks from an optimization perspective. In this paper, we consider the standard distributed matrix-information structures, where each agent of the considered multi-agent network has access to one of the sub-block matrices of A, B, and F. To be specific, we first propose different decomposition methods to reformulate the matrix equations in standard structures as distributed constrained optimization problems by introducing substitutional variables;we show that the solutions of the reformulated distributed optimization problems are equivalent to least squares solutions to original matrix equations;and we design distributed continuous-time algorithms for the constrained optimization problems, even by using augmented matrices and a derivative feedback technique. Moreover, we prove the exponential convergence of the algorithms to a least squares solution to the matrix equation for any initial condition. Copyright © 2017, The Authors. All rights reserved.

关键词： Continuous time systems

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Adaptive droop control with self-adjusted virtual impedance for three-phase inverter under unbalanced conditions 50

Adaptive droop control with self-adjusted virtual impedance ...

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50th IEEE International Symposium on Circuits and systems, ISCAS 2017

作者： Lu, Zelun Li, Wenxuan Li, Zhen Chen, Xi Lu, Herbert H. C. Dong, Ning Liu, Xiangdong School of Automation Key Laboratory for Intelligent Control and Decision on Complex Systems Beijing Institute of Technology BeijingI0008I China Global Energy Interconnection Research Institute North America Santa Clara 5451 Great America Parkway CA95054 United States School of Electrical Electrical and Computer Engineering University of Western Australia CrawleyWA6009 Australia

ISBN: (纸本)9781467368520

Three-phase inverter is a very important interface in microgrid. Droop control and virtual impedance are widely used to improve the power sharing capability and stability of such system, which however becomes ineffective under unbalanced conditions and may even cause potential stability problems. This paper proposes a fully self-adjusted virtual impedance design to guarantee the decoupling of active and reactive power. The arbitrary unbalanced information is acquired through the pseudo-inverse impedance matrix modeled by full-dq technique. Based on the unbalanced impedance identified, the adaptive droop control is achieved for not only accurate power sharing but also reliable voltage support with autonomous unbalanced voltage compensation. Simulations results verify the accurate identification of unbalanced impedance and effectiveness of the proposed method on the unbalanced compensation. © 2017 IEEE.

关键词： Electric inverters

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Continuous second-order sliding mode control based on disturbance observer for LOS stabilized system

Continuous second-order sliding mode control based on distur...

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International Workshop on Variable Structure systems, VSS

作者： Jianliang Mao Shihua Li Qi Li Jun Yang Ministry of Education Key Laboratory of Measurement and Control of Complex Systems of Engineering Nanjing China

This paper develops a continuous second-order sliding mode control based on finite-time disturbance observer for light of sight (LOS) stabilized loop of inertial stabilized platform. The main purpose of an inertial stabilized platform is to eliminate the various disturbances to make the LOS keep steady in an inertial space. To accomplish the controller design, the equations of motion for a 2-DOF gimbal system driven by permanent synchronous motors are established and the cross coupling torque, mass unbalance torque, uncertain load torque are treated as the lumped disturbances. And to improve the tracking accuracy, a new continuous sliding mode control approach is employed to control the rate loop of the system. The proposed method confirms that the tracking error of LOS rate converges to zero in finite time even in the presence of the disturbances. By using the Lyapunov function technique, a rigorous finite-time convergence proof is given. The comparison simulation results show that the proposed method for LOS stabilized system exhibits a promising control performance in practical engineering.

关键词： Torque Couplings Sliding mode control DC motors Tracking Observers Aerospace electronics

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An Incentive-based Supplier Selection Mechanism to Support Green Supply Chains

An Incentive-based Supplier Selection Mechanism to Support G...

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World Congress on Intelligent control and Automation

作者： Fang Yu Lei Xue Changyin Sun Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University

ISBN: (纸本)9781467384155

Supplier selection is an important decision for an enterprise to realize a sustainable production. However, almost all works, which concerned the environmental issues, focused on the supplier selection or evaluation methods, rather than the incentive mechanism urging the participants to improve their decisions (reduce the harm to the environment). In this paper, not only are the commercial factors (price, quantity, and lead time), but also the environment factors (green factors and carbon dioxide emissions) of the suppliers are considered during the selection. The determinations of the green factors and the total carbon dioxide emissions depend on the analysis of the history trade data. An incentive supplier selection mechanism, which urges the agents to improve their decisions to reduce the harm to the environment, is proposed. Numerical calculations are provided to verify the feasibility and the superiority of the proposed model.

关键词： degradation of the environment carbon dioxide emission green LEAD TIME evaluation method numerical calculation Environmental issues HARM Environmental factors incentives

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Evaluation of Lower-Limb Rehabilitation Based on Muscle Fatigue

Evaluation of Lower-Limb Rehabilitation Based on Muscle Fati...

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IEEE International Symposium on Industrial Electronics

作者： Juan Zhao Jinhua She Dianhong Wang Edwardo F. Fukushima Min Wu Hiroshi Hashimoto School of Engineering Tokyo University of Technology Hachioji Tokyo Japan School of Automation China University of Geosciences Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China Master Program of Innovation for Design & Engineering Advanced Institute of Industrial Technology Tokyo Japan

The purpose of this study was to investigate the features of muscle fatigue extracted from surface electromyography (sEMG) signals of lower limbs, and then to present an evaluation method of lower-limb rehabilitation to provide physical basis for the training effect of rehabilitation. Four healthy young university students were invited to perform a pedaling exercise for 40 days. The sEMG signals of four lower-limb muscles are recorded and processed using a Butterworth filter and a Daubechies 10 wavelet. Then, the change of the ratios of the spectrums of Types I and II muscle fibers to the total number of the spectrum along the exercise are examined. The time of the first intersection of the ratios for Types I and II for each muscle is used as a performance index. The increase in the time at the beginning and the end of the training period indicates the improvement of motor function, and thus it verifies the effectiveness of the rehabilitation.

关键词： SEMG Muscle fatigue Rehabilitation evaluation Unequal length segmentation

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