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International Conference on Advanced Robotics and Mechatronics (ICARM)

作者： Xiangheng He Xinde Li School of Automation Control Science and Engineering Southeast University Nanjing China School of Automation Southeast University Nanjing China

ISBN: (数字)9781728164793

ISBN: (纸本)9781728164809

Image paragraph captioning task aims to provide detailed and objective multi-sentence descriptions of a target image. Existing models suffer from the problems of the monotony of sentence structure, the mechanical repetition of sentence meanings and stiff inter-sentence transitions in paragraph-level descriptions. In this paper, we consider modeling human concerned evaluation criteria, namely, diversity and coherence, and use them as explicit rewards in the proposed Reinforcement Learning based training strategy. Ablation study on the standard paragraph description dataset shows the necessity of leveraging Self-critical Sequence Training strategy and the effectiveness of our novel designed reward combined with CIDEr. Final experimental results show that our model improves the current state-of-the-art model in terms of four out of six standard evaluation metrics.

关键词： Training Coherence Measurement Feature extraction Task analysis Computational modeling Visualization

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The Overview of Frequency Regulation Coordinated control for MMC-HVDC Connecting Wind Farms

The Overview of Frequency Regulation Coordinated Control for...

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2024 CPSS and IEEE International Symposium on Energy Storage and Conversion, CPSS and ISESC 2024

作者： Zhang, Jingyi Tian, Zhen Hua, Xiaojun Li, Weibing Jiang, Dingguo Zha, Xiaoming School of Electrical Engineering and Automation Wuhan University Laboratory of Hydro-Wind-Solar Multi-energy Control Coordination Wuhan China Institute of Science and Technology China Three Gorges Corporation Beijing China

ISBN: (纸本)9798350380514

Modular multilevel converter based high voltage direct current (MMC-HVDC) transmission is the mainstream technology for offshore wind farms with long distances of more than 80km integration. With the development of technology, the frequency stability problem due to the low inertia has become the focus of the current research. This paper systematically discusses the coordinated frequency regulation control strategy of MMC-HVDC with wind farms. The common symmetrical monopole/ bipolar MMC-HVDC system structures in engineering are first introduced. Next, The frequency regulation control for MMC-HVDC and wind farms (WFs) and the frequency sensing method used for coordination are summarized. Finally, this paper looks forward to the future research direction of MMC-HVDC connecting wind farms regarding frequency regulation capability assessment, and grid-forming fault ride-Through control. © 2024 IEEE.

关键词： Offshore wind farms

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Safety-critical Stability of Switched Linear Autonomous Systems under Arbitrary Switching 63

Safety-critical Stability of Switched Linear Autonomous Syst...

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63rd IEEE Conference on Decision and control, CDC 2024

作者： Wang, Miaomiao Sun, Zhendong Academy of Mathematics and Systems Science Chinese Academy of Sciences Key Laboratory of Systems and Control Beijing100190 China Shandong University of Science and Technology College of Electrical Engineering and Automation Qingdao266590 China

ISBN: (纸本)9798350316339

Given a switched system and a safe region that is a subset of the state space, a state trajectory is safe if the whole trajectory is within the safe region. The safety-critical stability problem here is to determine the safe initial domain that is the set of initial states with safe trajectories under arbitrary switching. We prove that the safe initial domain is of full dimension iff the switched system is stable. Moreover, under the assumption that the switched system is exponentially stable and the safe region is regular, we present a computational procedure to numerically characterize the safe initial domain with the help of the newly introduced concept of 'cut-tail-points'. A numerical example is presented to verify the effectiveness of the proposed scheme. © 2024 IEEE.

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An entropy approach to filtering for networked control systems

An entropy approach to filtering for networked control syste...

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作者： Zhang, Jianhua Du, Lilong Wang, Aiping Wang, Hong School of Control and Computer Engineering North China Electric Power University Beijing 102206 China Institute of Computing Sciences Anhui University Hefei China Control Systems Centre University of Manchester Manchester M601QD United Kingdom Key Laboratory of Integrated Automation of Process Industry Ministry of Education and Research Center of Automation Northeastern University Shenyang China

This paper is concerned with minimum error entropy filter design for non-linear Networked control Systems (NCSs) with multiple-packet transmission mechanism. Since the error of the filter in NCSs is generally non-Gaussian, the filter is designed under the information theoretic learning frame. The convergent condition of the proposed filter is established. A simulation example shows that the proposed approach is feasible and effective. Copyright © 2012 Inderscience Enterprises Ltd.

关键词： Entropy

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Modeling, identification and simulation of mechatronic systems

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IFAC Proceedings Volumes 1999年第2期32卷 879-890页

作者： Rolf Isermann Institute of Automatic Control Laboratory of Control Engineering and Process Automation Technical University of Darmstadt Landgraf-Georg-Str. 4 D-64283 Darmstadt Germany

The integration of mechanical and microelectronic components during the design and operation requires systematic methods and software tools for theoretical modeling, experimental identification and simulation. Therefore, the contribution summarizes the state-of-the-art in these areas based on the practical experience with several mechatronic systems and tries to show open problems. It is typical for mechatronic systems that they are composed of components from different physical domains, such as electrical mechanical, fluidic, thermal and thermodynamic processes. One of the key issues, therefore, is to find a unified way especially for theoretical modeling, but also for identification and simulation of these heterogeneous systems. A further task is to develop software tools for modeling, identification and simulation and to make them interconnectable. For theoretical modeling a unified procedure can be given for lumped parameter processes with energy and material flows. A multi port representation can be stated for processes with energy flows for electrical, mechanical and fluidic processes. However, problems with a unified representation arise for thermal and thermodynamic processes. The development from multi ports to block diagrams and bond graphs is shortly described. Present developments are characterized by object-oriented modeling with introduction of causalities at a late state. Identification methods for mechatronic systems are required frequently e.g. for theoretical model verification or on-line estimation of unknown and time varying parameters or identification of nonlinear static characteristics and dynamics. The properties of suitable methods are described, including parameter estimation and dynamical neural networks for nonlinear processes. Then, various kinds of simulation methods for mechanical systems are described, especially with regard to the time behaviour. For several applications real-time simulation is required. Examples are process simulati

关键词： Modeling identification simulation mechatronic systems heterogeneous systems object oriented modeling parameter estimation neural networks real-time simulation hardware-in-the-loop simulation automobiles combustion engines turbocharger

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A Novel Design of Iterative Learning control with Pure Feedforward Structure

A Novel Design of Iterative Learning Control with Pure Feedf...

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第28届中国控制与决策会议

作者： CHI Ronghu LIN Na HOU Zhongsheng ZHANG Ruikun School of Automation & Electronic Engineering Qingdao University of Science & Technology Advanced Control Systems Lab School of Electronics & Information EngineeringBeijing Jiaotong University School of Mathematics and Physics Qingdao University of Science & Technology

ISBN: (纸本)9781467397155

A new design framework of feedforward ILC is developed for nonlinear systems in this *** supposing that there exists a desired nonlinear controller,two dynamical linearization methods are proposed for the nonlinear *** then,a CFDL-ILC and a PFDL-ILC are ***,the PFDL-ILC is similar to the higher order ILC schemes that more errors of previous iterations are *** proposed approaches are data-driven and no process model is required for the controller design and *** availability of the proposed approaches is further confirmed by simulation results.

关键词： Iterative learning control Nonlinear systems Data-driven control

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Automatic sleep level evaluation based on conditional probability for day time nap sleep evaluation

Automatic sleep level evaluation based on conditional probab...

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6th International Conference on Complex Medical engineering, CME 2012

作者： Wang, Bei Wang, Xingyu Nakamura, Masatoshi Department of Automation School of Information Science and Engineering East China University of Science and Technology Shanghai China Research Institute of Systems Control Institute for Advanced Research and Education Saga University Saga Japan

ISBN: (纸本)9781467316163

In this study, the automatic technique for the continuous light sleep level estimation and prediction is developed. The ultimate purpose is to realize the automatic sleep level evaluation for short-term day time nap sleep. The main method is based on the conditional probability obtained according to the characteristics of neuro-physiological signals including EEG, EOG and EMG. The estimated and predicted sleep level are compared with the visual inspection. The obtained results showed that the presented automatic technique is practicable to be an assistant subjective evaluation tool for sleep level analysis. © 2012 IEEE.

关键词： Sleep research

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Frequency Domain Filtering Based Compressed Sensing Applied on Sparse-Angle CT Image Reconstruction 2022

Frequency Domain Filtering Based Compressed Sensing Applied ...

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7th International Conference on Multimedia and Image Processing, ICMIP 2022

作者： Dong, Jian Chen, Hao Yang, Xiaoxia Tianjin Key Laboratory of Information Sensing and Intelligent Control Tianjin University of Technology and Education Tianjin300222 China Department of Automation and Electrical Engineering Tianjin University of Technology and Education Tianjin300222 China

ISBN: (纸本)9781450387408

In the process of CT scanning, multi-Angle projection data needs to be obtained from a large number of projection actions, which makes the scanned individual bear the risk of high radiation exposure. In order to solve such problems, the use of sparse projection data for CT image reconstruction is proposed as a new type of solution. The previous research can obtain good quality reconstructed images when the projection data is sparse by using the CT reconstruction technology based on the nonlinear sparsity transformation of compressed sensing. However, the heavy time loading of the image reconstruction is a practical problem that needs to be solved urgently. This study optimizes the non-linear filtering process of the regularization term of the original scheme, and proposes a novel method which replaces the original non-linear filter with a low-pass frequency domain filter. This strategy effectively utilizes the properties of low-pass frequency domain filtering in image processing. The excellent properties include high efficiency and low time complexity for image smoothing. The simulation experiment results show that in the process of CT image reconstruction using compressed sensing algorithm, the low-pass frequency domain filtering of the new scheme can greatly reduce the required time in the reconstruction of sparse projection data, and the image quality is feasibly guaranteed. © 2022 ACM.

关键词： Compressed sensing

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Adaptive Fixed-time Fuzzy Tracking control of Uncertain Robot 27

Adaptive Fixed-time Fuzzy Tracking Control of Uncertain Robo...

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27th International Conference on automation and Computing, ICAC 2022

作者： Zhou, Beibei Zhu, Chengzhi Jiang, Yiming Guangzhou Jianxin Technology Co. Ltd Guangzhou510640 China South China University of Technology Key Laboratory of Autonomous Systems and Net-worked Control College of Automation Science and Engineering Guangzhou510640 China Hunan University National Engineering Laboratory for Robot Visual Perception and Control Hunan Changsha410082 China

ISBN: (数字)9781665498074

ISBN: (纸本)9781665498074

We propose a novel fixed-time fuzzy control strategy to achieve the trajectory tracking of the robot systems with uncertainties in this article. The tracking errors of the system can be convergent to a small area around zero with fixed-time convergence rate, combining with the fuzzy logic system and the backstepping technique. Besides, the boundedness of all the closed-loop system signals can be proved under the proposed controller. The superiority performance of the proposed control strategy has been shown by the simulation results. © 2022 IEEE.

关键词： Closed loop systems

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Event-triggered Distributed Predictive Consensus control of Multi-agent Systems with Random Communication Constraints 42

Event-triggered Distributed Predictive Consensus Control of ...

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42nd Chinese control Conference, CCC 2023

作者： Jia, Zhiqiang Luo, Wencheng Lu, Pingli Du, Changkun Liu, Haikuo Beijing Aerospace Automatic Control Institute Beijing100039 China School of Automation Beijing Institute of Technology Beijing100081 China School of Mechatronical Engineering Beijing Institute of Technology Beijing100081 China

ISBN: (纸本)9789887581543

In this article, the consensus control issue of homogeneous multi-agent systems is studied. To reduce the negative effects brought out by random communication constraints, an event-triggered distributed predictive consensus control strategy is proposed. Within the proposed strategy, the event-triggered mechanism is designed to reduce the consumption of network resources. Additionally, the stability and consensus conditions of closed-loop MASs are formulated. Finally, the validity of the presented strategy is demonstrated by simulation results. © 2023 Technical Committee on control Theory, Chinese Association of automation.

关键词： Multi agent systems

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