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Geometric convergence of distributed gradient play in games with unconstrained action sets

IFAC-PapersOnLine 2020年第2期53卷 3367-3372页

作者： Tatiana Tatarenko Angelia Nedić Control Methods and Robotics Lab TU Darmstadt Germany School of Electrical Computer and Energy Engineering Arizona State University USA

We provide a distributed algorithm to learn a Nash equilibrium in a class of non-cooperative games with strongly monotone mappings and unconstrained action sets. Each player has access to her own smooth local cost function and can communicate to her neighbors in some undirected graph. We consider a distributed communication-based gradient algorithm. For this procedure, we prove geometric convergence to a Nash equilibrium. In contrast to our previous works Tatarenko et al. (2018); Tatarenko et al. (2019), where the proposed algorithms required two parameters to be set up and the analysis was based on a so called augmented game mapping, the procedure in this work corresponds to a standard distributed gradient play and, thus, only one constant step size parameter needs to be chosen appropriately to guarantee fast convergence to a game solution. Moreover, we provide a rigorous comparison between the convergence rate of the proposed distributed gradient play and the rate of the GRANE algorithm presented in Tatarenko et al. (2019). It allows us to demonstrate that the distributed gradient play outperforms the GRANE in terms of convergence speed.

关键词： Game theory networked systems fast algorithms

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随机订单下制造企业的生产触发策略比较

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engineering 2021年第6期7卷 207-225页

作者：周龙飞张霖方亚隽 Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology School of Automation Science and Electrical Engineering Beihang University

尽管新兴技术在制造系统中得到了广泛应用,但由于客户需求的多样性以及随机性,制造企业仍面临着如何保持高效灵活的生产的问题。由于加快订单交付速度与降低库存成本之间存在矛盾,所以制造企业如何制定合适的生产触发策略是其在动态环... 详细信息

尽管新兴技术在制造系统中得到了广泛应用,但由于客户需求的多样性以及随机性,制造企业仍面临着如何保持高效灵活的生产的问题。由于加快订单交付速度与降低库存成本之间存在矛盾,所以制造企业如何制定合适的生产触发策略是其在动态环境中保持较高竞争力的关键所在。本文主要研究了制造企业在满足随机订单交付的同时降低库存成本的生产触发策略。提出的生产触发策略包括:时间触发策略、事件触发策略和混合触发策略。本文研究了不同生产触发策略的统一理论模型和仿真模型。在每种策略中都同时考虑并实施了零件生产触发策略和产品组装触发策略。在时间触发策略和混合触发策略中还同时考虑了触发周期对系统性能的影响。实验结果表明,如果触发周期设置合适,混合触发策略和时间触发策略能够获得比事件触发策略更快的订单交付时间和更低的库存成本。

关键词：协同制造生产触发优化仿真企业

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ML-Powered Biomedical Signals Processing using Hybrid Filters

ML-Powered Biomedical Signals Processing using Hybrid Filter...

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Progress in Applied electrical engineering (PAEE)

作者： Mariusz Pelc Dariusz Mikołajewski Patryk Mendoń Adrian Luckiewicz Adam Sudoł Edward Jacek Gorzelańczyk Aleksandra Kawala-Sterniuk Institute of Computer Science University of Opole Opole Poland School of Computing and Mathematical Sciences University of Greenwich London UK Institute of Computer Science Kazimierz Wielki University Bydgoszcz Poland Neuropsychological Research Unit 2nd Clinic of the Psychiatry and Psychiatric Rehabilitation Medical University in Lublin Lublin Poland Faculty of Electrical Engineering Automatic Control and Informatics Opole University of Technology Opole Poland Faculty of Natural and Technical Sciences University of Opole Opole Poland Institute of Philosophy Kazimierz Wielki University Bydgoszcz Poland

ISBN: (数字)9798331527563

ISBN: (纸本)9798331527570

This paper deals with the problem of signals filtering using hybrid filters. Such solutions may prove to be especially beneficial in the context of biomedical signals filtering where the signals’ amplitudes are typically not very high and they can be easily affected by different kinds of disturbances. Having a number of different types of filters tuned for some specific purposes we will show how the best filter choice is affected by selecting one ML model over another.

关键词： electrical engineering Filters Biological system modeling Biomedical communication

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Solution to the FBSDEs with asymmetric information

Solution to the FBSDEs with asymmetric information

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International Conference on control and automation (ICCA)

作者： Jingmei Liu Xiao Liang Juanjuan Xu School of Control Science and Engineering Shandong University Jinan China School of College of Electrical Engineering and Automation Shandong University of Science and Technology Qingdao China

ISBN: (数字)9781728190938

ISBN: (纸本)9781728190945

This paper study a class of finite-time forward and backward stochastic difference equations (FBSDEs) with asymmetric information which means that there exists two kinds of conditional expectations with respect to two different filterations. And the filterations are caused respectively by the additive noise and the measurement packet dropout. By establishing non-homogenous relationship between the backward stochastic process and the estimation of the forward stochastic process, we give the analytical solutions of the FBSDEs with asymmetric information.

关键词： Stochastic processes Difference equations Delays Packet loss Optimal control Networked control systems Differential equations

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A Tracking control Method based on Event-Triggered Adaptive Dynamic Programming 38

A Tracking Control Method based on Event-Triggered Adaptive ...

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第三十八届中国控制会议

作者： Ziyang Wang Qinglai Wei Derong Liu School of Automation and Electrical Engineering University of Science and Technology Beijing The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences School of Automation Guangdong University of Technology

ISBN: (纸本)9781728123295;9789881563972

In this paper, an event-triggered adaptive dynamic programming(ADP) algorithm is developed to solve optimal tracking control problems. The event-triggered control law will be updated only when the triggering conditions are ***, the computational cost can be reduced and the celerity of tracking can be improved. Compared to existing works,novel triggering conditions are designed in this paper. Besides, the stability is guaranteed with less assumption. Neural networks are used to implement the tracking control algorithm. Finally, an example is employed to show the effectiveness of the algorithm.

关键词： Adaptive dynamic programming event-triggered control optimal tracking control

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Lines cluster approaching mode control for air-breathing hypersonic vehicle under disturbances and uncertainties

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International Journal of Modeling, Simulation, and Scientific Computing 2020年第1期11卷 152-175页

作者： Fei Ma Yunjie Wu Xiaocen Liu Xiaodong Liu State Key Laboratory of Virtual Reality Technology and Systems Beihang University Beijing 100191P.R.China School of Automation Science and Electrical Engineering Beihang University Beijing 100191P.R.China Science and Technology on Aircraft Control Laboratory Beijing 100191 P.R.China Beijing Aerospace Automatic Control Institute Beijing 100854 P.R.China

This paper investigates the velocity and altitude tracking control problem for airbreathing hypersonic vehicle(AHV)in the presence of external disturbances and parameter uncertainties.A composite controller containing improved lines cluster approaching mode control(LCAMC)and nonlinear disturbance observer(NDO)is developed to guarantee the tracking errors converge to zero and enhance the robustness of control ***,considering the multiple uncertain parameters,a genetic algorithm(GA)based Pareto uncertainty estimation is employed to predict the parameter uncertainties of the AHV ***,the mathematical proofs of proposed method are analyzed by utilizing Lyapunov *** results demonstrate the effective tracking performance,excellent disturbance estimation and uncertainty estimation ability of the composite method.

关键词： Air-breathing hypersonic vehicle tracking control lines cluster approaching mode control nonlinear disturbance observer Pareto uncertainty estimation

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Sampled-Data Observer Design With Exponential Time-Varying Gains for Semilinear Parabolic PDE Systems

Sampled-Data Observer Design With Exponential Time-Varying G...

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Chinese automation Congress (CAC)

作者： Zi-Peng Wang Huai-Ning Wu Han-Xiong Li Tingwen Huang Tao Shen School of Electrical Engineering University of Jinan Jinan China Science and Technology on Aircraft Control Laboratory School of Automation Science and Electrical Engineering Beihang University Beijing China City University of Hong Kong Hong Kong Science Program Texas A&M University at Qatar Doha Qatar HIT Robot Group Co. Ltd China

ISBN: (纸本)9781665426480

For semilinear parabolic PDE systems, the sampled-data observer (SDO) design under spatially point measurements (SPMs) with exponential time-varying gains is concerned. On basis of a Lyapunov functional, a SDO with exponential time-varying gains under SPMs via linear matrix inequalities is presented to guarantee the exponential stability of estimation error PDE system. Lastly, two numerical examples are provided to support the proposed SDO design approach.

关键词： Estimation error automation Stability Observers Gain measurement Linear matrix inequalities control theory

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Sensor-less Complex System control of PMSM Based on Improved SMO

Sensor-less Complex System Control of PMSM Based on Improved...

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作者： Yingjie Xiong Anna Wang Tao Zhang College Of Information Science and Engineering Northeastern University Key Laboratory of Networked Control Systems Chinese Academy of Sciences Shenyang Institute of Automation Chinese Academy of Sciences Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences School of Electrical Engineering Dalian University of Technology

The sensor-less control system of PMSM is complicated,and it is of great significance to carry out accurate mathematical modeling and simulation *** is small in size,high in efficiency,and low in noise,so it is very popular in AC motor *** have been widely used in various electrical appliances such as machine tools,robots,and household *** order to reduce the high-frequency chatter of the sensor-less control strategy of permanent magnet synchronous motors,a sensor-less control method based on improved SMO is *** back-EMF component in the static coordinate system is obtained through the *** backEMF component undergoes closed-loop feedback to eliminate the high-frequency *** back-EMF component is calculated by an improved PLL to obtain the position and speed of the rotor to improve system *** the end of the article,the feasibility is proved by comparing it with the simulation of conventional SMO-PLL.

关键词： PMSM SMO with closed-loop feed back improved PLL

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Motor imagery signal classification based on transfer learning 24

Motor imagery signal classification based on transfer learni...

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24th Annual IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, CIVEMSA 2019

作者： Yang, Banghua Zheng, Minmin Cuntai, Guan Bo, Li School of Mechatronic Engineering and Automation Research Center of Brain Computer Engineering Shanghai University Shanghai China School of Mechanical and Electrical Engineering Putian University Fujian China School of Computer Science and Engineering Nanyang Technological University Nanyang Singapore School of Mechatronic Engineering and Automation Shanghai University Shanghai China

ISBN: (纸本)9781538683446

The EEG of motor imagery varies greatly according to different subjects and the same subject in different time periods. Traditional machine learning methods can only solve the classification and recognition of the same individual within a short period of time, and the classification and recognition effect also depends on the difference of data sets, with strong individual differences. Many classification methods are unstable and have poor universality. Transfer learning can use knowledge from similar data to enhance the learning process, and use knowledge in related fields to help complete the learning tasks in the target field, so as to change the traditional learning from scratch into accumulated learning and improve learning efficiency. In this paper, the power spectrum characteristics of 8 channels signals related to motor imagery at 7-29hz were extracted, and the motor imagery data were classified and modeled by transfer learning algorithm. Meanwhile, compared with the other two existing classification methods PSD (Power Spectral Density) and CSP (Common Spatial Pattern), the analysis results showed that the classification accuracy of transfer learning (90.9 ± 2.2) was higher than that of traditional PSD+LDA(62.5±11.6) and CSP+SVM (71.3±3.5), which verified the feasibility of transfer learning in motor imagery BCI classification and recognition. © 2019 IEEE.

关键词： Power spectral density

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Data-Driven Estimation of Infinitesimal Generators of Stochastic Systems ⁎

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IFAC-PapersOnLine 2021年第5期54卷 277-282页

作者： Ameneh Nejati Abolfazl Lavaei Sadegh Soudjani Majid Zamani Department of Electrical Engineering Technical University of Munich Germany Institute for Dynamic Systems and Control ETH Zurich Switzerland School of Computing Newcastle University United Kingdom Department of Computer Science University of Colorado Boulder USA and LMU Munich Germany

This paper is concerned with a data-driven approach for the estimation of infinitesimal generators of continuous-time stochastic systems with unknown dynamics. We first approximate the infinitesimal generator of the solution process via a set of data collected from trajectories of the unknown system. The approximation utilizes both time discretization and sampling from the solution process. Assuming proper continuity assumptions on dynamics of the system, we then quantify the closeness between the infinitesimal generator and its approximation while providing a priori guaranteed confidence bound. We demonstrate that both the time discretization and the number of data play significant roles in providing a reasonable closeness precision. Moreover, for a fixed size of data, variance of the estimation converges to infinity when the time discretization parameter goes to zero. The formulated error bound shows how to pick proper data size and time discretization jointly to prevent this counter-intuitive behavior. The proposed results are demonstrated on a case study.

关键词： Continuous-time stochastic systems Data-driven estimation Infinitesimal generators

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