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World Congress on Intelligent control and Automation (WCICA)

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

ISBN: (纸本)9781467384155

This paper investigates a novel fault tolerant control scheme to handle actuator faults in nonlinear systems based on policy iteration algorithm with fault observer. The fault observer is established to estimate the actuator fault, which is used to construct an improved performance index function that reflects the fault, regulation and control simultaneously. With the help of the proper performance index function, the FTC problem is transformed into an optimal control problem. By constructing a critic neural network, the Hamilton-Jacobi-Bellman equation can be solved by using policy iteration algorithm, and then the approximated fault tolerant controller can be obtained directly. The closed-loop system is guaranteed to be uniformly ultimately bounded based on the Lyapunov's direct method. Simulation example is given to verify the effectiveness of the developed FTC scheme.

关键词： Actuators Performance analysis Observers Optimal control Nonlinear systems Fault tolerance Fault tolerant systems

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Performance Evaluation of the Deep Learning Approach for Traffic Flow Prediction at Different Times

Performance Evaluation of the Deep Learning Approach for Tra...

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2016年IEEE/INFORMS服务运筹、物流与信息化国际会议

作者： Yanjie Duan Yisheng Lv Fei-Yue Wang The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Qingdao Academy of Intelligent Industries Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Chinese Academy of Sciences

Traffic flow prediction is very important in the deployment of intelligent transportation system. Based on our previous research on deep learning approach for traffic data prediction, we further evaluates the performance of the SAE model for traffic flow prediction at daytime and *** 250 experimental tasks training a SAE model and evaluating its performance at daytime and nighttime with 3different criteria, we obtain the best combination of hyper parameters for each criterion at different times on weekday and non-weekday, respectively. Experimental results show that the MAE and RMSE at daytime are larger than that at nighttime,while the MRE at daytime are smaller than that at *** different criteria, the hyper parameters of the SAE model should vary accordingly. The results in this paper indicate that in real applications, traffic flow prediction using the deep learning approach can be a combination of multiple SAE models with different parameters suitable for different periods, which is of significance in future research.

关键词： SAE MAE Performance Evaluation of the Deep Learning Approach for Traffic Flow Prediction at Different Times

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Index Modulated OFDM with ICI Self-Cancellation for V2X Communications

Index Modulated OFDM with ICI Self-Cancellation for V2X Comm...

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International Conference on Computing, Networking and Communications

作者： Yuke Li Miaowen Wen Xiang Cheng Liu-Qing Yang State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences School of Electronic and Information Engineering South China University of Technology School of Electronics Engineering and Computer Science Peking University

ISBN: (纸本)9781467385800

Recent years have witnessed the rapid development of intelligent transportation systems (ITS), which urgently call for highly reliable and effective communication technologies for vehicle-to-vehicle and vehicle-to-infrastructure (V2X) applications. Orthogonal frequency division multiplexing (OFDM) is widely believed to be the most promising candidate among these applications. However, the orthogonality of subcarriers in OFDM can be easily destroyed by the Doppler-induced inter-carrier interference (ICI), which is very common in V2X channels. In this paper, we propose a novel scheme which integrates the ICI self-cancellation technique into the index modulated (IM-) OFDM framework. Via careful designs, the proposed scheme can not only inherit the advantages of IM-OFDM but also suppress the ICI from active subcarriers. Simulations validate that in V2X channels, the proposed scheme significantly outperforms existing IM-OFDM and more importantly shows better performance than the conventional OFDM with ICI self-cancellation without sacrificing the spectral efficiency.

关键词： OFDM Vehicles Indexes Detectors Modulation Computational complexity Doppler shift

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Index Modulated OFDM with ICI Self-Cancellation

Index Modulated OFDM with ICI Self-Cancellation

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IEEE Vehicular Technology Conference

ISBN: (纸本)9781509016990

Orthogonal frequency division multiplexing (OFDM) is prone to frequency offset which gives rise to intercarrier interference (ICI). Recently, a novel OFDM transmission scheme called OFDM with index modulation (IM-OFDM) is proposed, which outperforms conventional OFDM in the absence of frequency offset. As in IM-OFDM, partial subcarriers are set to be idle by spatial modulation, the potential of IM-OFDM in ICI reduction is expected. In this paper, we find that this potential vanishes in some real scenarios with ICI, which leads to IM-OFDM exhibiting even worse performance than conventional OFDM. To improve this situation, a novel ICI cancellation scheme is designed, which integrates the ICI self-cancellation technique into the IM-OFDM framework. Via careful designs, the proposed scheme not only provides a solution to ICI problems of IM-OFDM, but also achieves an attractive tradeoff between the spectral efficiency and ICI cancellation performance of the system. Simulations validate that in the presence of carrier frequency offset (CFO), the proposed scheme significantly outperforms existing IM-OFDM and more importantly shows better performance than the conventional OFDM with ICI self-cancellation.

关键词： Orthogonal frequency division multiplexing ICI CANCELLATIONS FREQUENCY SHIFT

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Reactive power compensation in microgrids via distributed control strategy

Reactive power compensation in microgrids via distributed co...

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World Congress on Intelligent control and Automation (WCICA)

作者： Xiong Hu Hong Zhou Zhi-Wei Liu Zhi-Hong Guan Ming Chi Department of Automation Wuhan University P. R. China Ministry of Education Key Laboratory of Measurement and Control of Complex Systems of Engineering Nanjing P. R. China College of Automation Huazhong University of Science and Technology Wuhan P. R. China

ISBN: (纸本)9781467384155

To minimize power losses in microgrids, we concentrate on reactive power compensation by microgenerators connected to microgrid via electronic interfaces. Comparing exits works, not only the constraint of power balance, but also the bounded capacity of microgenerator is taken into account. We propose a distributed algorithm for the reactive power compensation problem with a fully connected communication network, to solve the optimal reactive power compensation problem in microgrids. Case study illustrates the proposed algorithm can effectively solve the reactive power compensation problem.

关键词： Reactive power Microgrids Distributed algorithms Topology Linear programming Algorithm design and analysis Mathematical model

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Robust Decentralized control of Interconnected Nonlinear systems Subject to Uncertainties and Disturbances via Generalized Extended State Observers 34

Robust Decentralized Control of Interconnected Nonlinear Sys...

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第三十四届中国控制会议

作者： ZHANG Chuanlin YANG ning HE Shuaipeng JIA Ruting Shanghai Engineering Research Center of Intelligent Management and Control for Power Process College of Automation EngineeringShanghai University of Electric Power Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Electrical and Computer Engineering Department California State University

ISBN: (纸本)9789881563897

This paper studies the problem of robust decentralized control for a class of large-scale interconnected systems subject to uncertainties and disturbances via a generalized active disturbance rejection control method. First, a novel extended state observer(ESO) is constructed separately for each subsystem with less dependence of the precise system information and structure. Second, an explicit formula of the decentralized active disturbance rejection control(DADRC) law is presented by utilizing the output feedback domination approach. It is shown that by a delicate analysis procedure, the closed-loop system can be rendered semi-globally asymptotically stable only using decentralized output feedback anti-disturbance controller. Numerical simulations show the efficiency of the proposed method.

关键词： output feedback control global stabilization disturbance rejection control extended state observer

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Neural-network-based robust optimal control of uncertain nonlinear systems using model-free policy iteration algorithm

Neural-network-based robust optimal control of uncertain non...

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International Joint Conference on Neural Networks

作者： Chao Li Ding Wang Derong Liu The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China School of Automation and Electrical Engineering University of Science and Technology Beijing 100083 China

ISBN: (纸本)9781509006212

In this paper, we establish a robust optimal control law for a class of continuous-time uncertain nonlinear systems by using a neural-network-based model-free policy iteration approach. The robust control law of the original uncertain nonlinear system is derived by adding a feedback gain to the optimal control law of the nominal system. It is proven that this robust control law can achieve optimality under a specified cost function. Then, the neural-network-based model-free policy iteration algorithm is developed to solve the Hamilton-Jacobi-Bellman equation corresponding to the nominal system without system dynamics. The actor-critic technique and the least squares implementation method are used to obtain the optimal control policy of the nominal system. A numerical simulation is given to verify the applicability of the present robust optimal control scheme.

关键词： Optimal control Cost function Mathematical model Heuristic algorithms Robustness Robust control Nonlinear systems

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P-94:Distinguished Student Poster: Three Dimensional Lenticular Display Rendering Based on Light Field Acquisition

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SID Symposium Digest of Technical Papers 2017年第1期48卷

作者： Renjing Pei Zheng Geng Kui Ma Zhang Mei Wang Rong State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences East Zhongguanchun Road No. 95 Haidian District Beijing 100190 China School of Computer and Control Engineering University of Chinese Academy of Sciences Beijing 101408 China

Crosstalk is a critical defect affecting quality in 3D displays. Existing methods require tedious computations or device-specific optical measurements and results are often sub-optimal for 3D productions. We propose a method based on light field acquisition and optimization for crosstalk reduction. Algorithms were developed and experimental results showed superior performance.

关键词： lenticular 3D display crosstalk optimization light field light field capture

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Event-based state estimation of discrete-state hidden Markov models

Event-based state estimation of discrete-state hidden Markov...

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作者： Shi, Dawei Elliott, Robert J. Chen, Tongwen State Key Laboratory of Intelligent Control and Decision of Complex Systems School of Automation Beijing Institute of Technology Beijing100081 China School of Mathematical Sciences University of Adelaide SA5005 Australia Haskayne School of Business University of Calgary CalgaryAB Canada Department of Electrical and Computer Engineering University of Alberta EdmontonABT6G 1H9 Canada

The state estimation problem for hidden Markov models subject to event-based sensor measurement updates is considered in this work, using the change of probability approach. We assume the measurement updates are transmitted through wired or wireless communication networks. For the scenarios with reliable and unreliable communication channels, analytical expressions for the probability distributions of the states conditioned on all the past point- and set-valued measurement information are obtained. Also, we show that the scenario with a lossy channel, but without the event-trigger, can be treated as a special case of the reliable channel results. Based on these results, closed-form expressions for the estimated communication rates under the original probability measure are presented, which are shown to be the ratio between a weighted 1-norm and the 1-norm of the unnormalized conditional probability distributions of the states under the new probability measures constructed. Implementation issues are discussed, and the effectiveness of the results is illustrated by numerical examples and comparative simulations. © 2015 Elsevier Ltd. All rights reserved.

关键词： Hidden Markov models

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Prediction of Energy Consumption in Office Buildings Based on Echo State Network

Prediction of Energy Consumption in Office Buildings Based o...

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World Congress on Intelligent control and Automation

作者： Guang Shi Derong Liu Qinglai Wei The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing 100083 China

ISBN: (纸本)9781467384155

Energy consumption of an office building is generally divided into energy consumptions from sockets, lights and air-conditioners, which are measured in each room of the office building by three ammeters installed inside, respectively. On the other hand, an office building generally consists of several types of rooms, i.e., office rooms, computer rooms, storage rooms, meeting rooms, etc., the energy consumption of which varies in accordance with different working routines in each type of room. In this paper, several novel reservoir topologies of echo state network (ESN) are proposed, and ESNs with different reservoir topologies are applied to predicting energy consumption of rooms in an office building. A case study shows that the proposed simplified reservoir topologies are sufficient to achieve outstanding performance of ESN in the prediction of building energy consumption.

关键词： Energy consumption Reservoirs Buildings Topology Training Computers Sockets energy consumption office buildings Power outlets Socket Buildings reservoirs Computers topology Functional training Rooms built structure office Electronic Serial Number Air conditioners

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