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Time-series Data Modeling Guided by Visual Information 11

Time-series Data Modeling Guided by Visual Information

引用

2023 IEEE 11th International Conference on Information, Communication and Networks, ICICN 2023

作者： Zhang, Ke Wang, Junzheng Zhang, Xiang Shi, Yu Wang, Ting Beijing Institute of Technology School of Automation Beijing China Xi'An Institute of Electron-mechanical Information Technology Science and Technology on Electromechanical Dynamic Control Laboratory Xi'an China

ISBN: (纸本)9798350314014

Time-series data typically contain issues such as missing data and noise, which can impact the model's precision and stability. This paper proposes a Transformer structure-based visual information-guided temporal data modeling algorithm to address the issues as mentioned above. The algorithm effectively captures the time-series structure of the time-series data, thereby enhancing the model's precision and stability. To evaluate the performance of the proposed algorithm, a dataset containing visual information aligned with time-series data is compiled, and a comprehensive quantitative and qualitative analysis is performed. Conduct a comprehensive quantitative and qualitative analysis. The results indicate that visual information can assist time-series data in capturing the intricate dynamics of the time-series data, thereby enhancing the performance of the proposed algorithm and facilitating its comprehension. The results indicate that visual information can assist time-series data in capturing the complex dynamics of time-series data, and thus in comprehending and predicting their behavior and trends. The application of this algorithm will advance research in the field of modeling and predicting time series data. Applying this algorithm will advance research and practice in modeling and forecasting time series data. © 2023 IEEE.

关键词： Time series

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An Event-Triggered Tracking control Scheme Based on Predictive control Method and its Application 42

An Event-Triggered Tracking Control Scheme Based on Predicti...

引用

42nd Chinese control Conference, CCC 2023

作者： Cao, Lei Yumuk, Erhan Ionescu, Clara-Mihaela Liu, Guo-Ping Harbin Institute of Technology Department of Control Science and Engineering Harbin150001 China Ghent University Dynamical Systems and Control Research Group Department of Electromechanical Systems and Metal Engineering Ghent9052 Belgium Center for Control Science and Technology Southern University of Science and Technology Shenzhen518055 China Istanbul Technical University Department of Control and Automation Engineering Istanbul34467 Turkey

ISBN: (纸本)9789887581543

In this paper, the tracking control problem for networked control system (NCS) under communication delays is investigated. In order to realize the tracking of the NCS, an event-triggered predictive control strategy is provided to compensate for the delays and achieve stability. Both tracking performance and input increments are considered in the proposed cost function. Based on the incremental inputs, an event-triggered mechanism is established to reduce the communication costs. The efforts of different parameters are illustrated through the results of the simulation, and the effectiveness of the proposed control scheme is also validated from the application of the networked lighting setup. © 2023 Technical Committee on control Theory, Chinese Association of automation.

关键词： Networked control systems

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The Research and Optimization of the Executive Electric Motor of the Supervision Electric Drive within the General Concept of Energy Efficiency 5

The Research and Optimization of the Executive Electric Moto...

引用

5th International Conference on control Systems, Mathematical Modeling, automation and Energy Efficiency, SUMMA 2023

作者： Agapov, Alexander Krylov, Yuriy Belozorov, Sergey Chernykh, Tatyana Litvinenko, Alexander Tikunov, Alexey Voronezh State Technical University The Electric Drive Automation and Control in Technical Systems Voronezh Russia The Electric Power Industry International Institute of Computer Technology Voronezh Russia Voronezh State Technical University The Electromechanical Systems and Power Supply Voronezh Russia

ISBN: (纸本)9798350309126

The article discusses the features of designing and optimizing non-contact DC motors with fractional multi-section windings as part of an electric drive of a rotary-blade system with a gearbox. An important problem at the stage of formation of the structure of the executive electric motor of the automation system is the optimal choice of its parameters. The executive electric motor, as part of the servo adaptive system, must ensure guaranteed development of the control law, taking into account external factors of influence, which are characterized by a variable nature of the load, which requires an assessment of the operation of the machine according to the mechanical characteristics. At the same time, an important factor is that recently many manufacturers of electrical equipment have increasingly begun to turn their attention to multi-pole machines with a fractional number of slots per pole and phase, in particular those implemented by winding on a tooth, which have pronounced technological advantages. However, there remains the problem of developing approaches to the design of such machines in terms of the implementation of optimal geometric relationships. This problem is especially relevant for complex automation systems where atypical control methods are used, which requires a separate design of an electric machine for a specific task in the framework of unconditional provision of the principle of energy efficiency of the "motor-actuator"link, taking into account the adopted control system. © 2023 IEEE.

关键词： DC motors

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Time-series Data Modeling Guided by Visual Information

Time-series Data Modeling Guided by Visual Information

引用

International Conference on Information, Communication and Networks (ICICN)

作者： Ke Zhang Junzheng Wang Xiang Zhang Yu Shi Ting Wang School of Automation Beijing Institute of Technology Beijing China Science and Technology on Electromechanical Dynamic Control Laboratory Xi’an Institute of Electron-mechanical Information Technology Xi’an China

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GPIO Based Iterative Learning control for Manipulators with Time-Varying Disturbances 42

GPIO Based Iterative Learning Control for Manipulators with ...

引用

42nd Chinese control Conference, CCC 2023

作者： Lu, Huangyuwei Wang, Zuo Sun, Jiankun Xiao, Xi Li, Shihua School of Automation Southeast University Nanjing210096 China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing210096 China Shenzhen Research Institute Southeast University Shenzhen518063 China School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan430074 China Aviation Key Laboratory of Science and Technology on Aero Electromechanical System Integration Nanjing211106 China

ISBN: (纸本)9789887581543

To improve the disturbance rejection ability and repetitive tracking accuracy of manipulators, a composite iterative learning control (ILC) scheme via generalized proportional integral observer (GPIO) is proposed. A high-order polynomial is first employed to model the time-varying disturbances that include unmodeled dynamics, parameter uncertainties and load fluctuations. A GPIO is then designed to estimate the disturbances and high-order time derivatives. By introducing estimations into a PD-type ILC at each iteration, a composite control scheme is obtained, such that the undesirable influence of time-varying disturbances can be effectively attenuated in the repetitive tracking process of manipulators. In this paper, the rigorous stability analysis of the closed-loop system is presented to guarantee that the tracking error exponentially converges to zero as the iteration number tends to infinity. The effectiveness of the proposed control scheme is finally verified by simulation results. © 2023 Technical Committee on control Theory, Chinese Association of automation.

关键词： Disturbance rejection

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An event-triggered tracking control scheme based on predictive control method and its application

An event-triggered tracking control scheme based on predicti...

引用

第42届中国控制会议

作者： Lei Cao Erhan Yumuk Clara-Mihaela Ionescu Guo-Ping Liu Department of Control Science and Engineering Harbin Institute of Technology Dynamical Systems and Control Research Group Department of Electromechanical Systems and Metal Engineering Ghent University Department of Control and Automation Engineering Istanbul Technical University Center for Control Science and Technology Southern University of Science and Technology

In this paper, the tracking control problem for networked control system(NCS) under communication delays is investigated. In order to realize the tracking of the NCS, an event-triggered predictive control strategy is provided to compensate for the delays and achieve stability. Both tracking performance and input increments are considered in the proposed cost *** on the incremental inputs, an event-triggered mechanism is established to reduce the communication costs. The efforts of different parameters are illustrated through the results of the simulation, and the effectiveness of the proposed control scheme is also validated from the application of the networked lighting setup.

关键词：

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GPIO Based Iterative Learning control for Manipulators with Time-Varying Disturbances

GPIO Based Iterative Learning Control for Manipulators with ...

引用

第42届中国控制会议

作者： Huangyuwei Lu Zuo Wang Jiankun Sun Xi Xiao Shihua Li School of Automation Southeast University Key Laboratory of Measurement and Control of Complex systems of Engineering Ministry of Education Shenzhen Research Institute Southeast University School of Artificial Intelligence and Automation Huazhong University of Science and Technology Aviation Key Laboratory of Science and Technology on Aero Electromechanical System Integration

To improve the disturbance rejection ability and repetitive tracking accuracy of manipulators,a composite iterative learning control(ILC) scheme via generalized proportional integral observer(GPIO) is proposed.A high-order polynomial is first employed to model the time-varying disturbances that include unmodeled dynamics,parameter uncertainties and load fluctuations.A GPIO is then designed to estimate the disturbances and high-order time *** introducing estimations into a PD-type ILC at each iteration,a composite control scheme is obtained,such that the undesirable influence of time-varying disturbances can be effectively attenuated in the repetitive tracking process of *** this paper,the rigorous stability analysis of the closed-loop system is presented to guarantee that the tracking error exponentially converges to zero as the iteration number tends to *** effectiveness of the proposed control scheme is finally verified by simulation results.

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An Event-Triggered Tracking control Scheme Based on Predictive control Method and its Application

An Event-Triggered Tracking Control Scheme Based on Predicti...

引用

Chinese control Conference (CCC)

作者： Lei Cao Erhan Yumuk Clara-Mihaela Ionescu Guo-Ping Liu Department of Control Science and Engineering Harbin Institute of Technology Harbin P. R. China Department of Electromechanical Systems and Metal Engineering Dynamical Systems and Control Research Group Ghent University Ghent Belgium Department of Control and Automation Engineering Istanbul Technical University Istanbul Turkey Center for Control Science and Technology Southern University of Science and Technology Shenzhen P. R. China

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Coordinated control of distributed multi-agent systems using event-triggered predictive control strategy

Coordinated control of distributed multi-agent systems using...

引用

Fully Actuated System Theory and Applications (CFASTA), Conference on

作者： Lei Cao Chuanguo Chi Erhan Yumuk Clara-Mihaela Ionescu Guo-Ping Liu Department of Control Science and Engineering Harbin Institute of Technology Harbin P. R. China Department of Electromechanical Systems and Metal Engineering Dynamical Systems and Control Research Group Ghent University Ghent Belgium Department of Control and Automation Engineering Istanbul Technical University Istanbul Turkey Center for Control Science and Technology Southern University of Science and Technology Shenzhen P. R. China

In this paper, the coordinated control problem for a class of distributed networked multi-agent systems (NMASs) is studied. An event-triggered predictive coordinated control (ETPCC) scheme is proposed to compensate for the communication delay between controllers as well as to reduce the communication frequency. With the aim of reducing the frequency of data transfer among controllers and saving resources, a distributed event-triggered condition is designed to decide when to transfer information. Further, a cost function using predicted values is proposed to measure the cooperative performance among the agents, and the required control increment for each agent is obtained by minimizing the cost function. Simulation and experimental examples show that the proposed ETPCC strategy works effectively.

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GPIO Based Iterative Learning control for Manipulators with Time-Varying Disturbances

GPIO Based Iterative Learning Control for Manipulators with ...

引用

Chinese control Conference (CCC)

作者： Huangyuwei Lu Zuo Wang Jiankun Sun Xi Xiao Shihua Li School of Automation Southeast University Nanjing China Key Laboratory of Measurement and Control of Complex systems of Engineering Ministry of Education Nanjing China Shenzhen Research Institute Southeast University Shenzhen China School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan China Aviation Key Laboratory of Science and Technology on Aero Electromechanical System Integration Nanjing China

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