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第42届中国控制会议

作者： GAO Weinan JIANG Zhong-Ping State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Department of Electrical and Computer Engineering Tandon School of Engineering New York University

This paper aims to tackle the cooperative output regulation problem of multi-agent systems with the existence of distributed denial of service attacks. The proposed solution consists of two steps. First, develop a distributed control policy with internal models, and then analyze the resilience of closed-loop systems. Through the notion of input-to-state stability and Lyapunov stability theory, a bound of distributed denial of service duration is obtained under which the closed-loop systems achieve cooperative output regulation. The efficiency is validated by numeric simulations.

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Feasible Region Optimization of PI Control Parameters for Robust Tracking of First-Order Nonlinear Stochastic Time-Delay Systems

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IFAC-PapersOnLine 2022年第36期55卷 216-221页

作者： Yingying Liu Dan Ma College of Information Science and Engineering State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang China

This paper discusses the feasible region of PI control parameters for first-order nonlinear stochastic time-delay systems. The system can robust asymptotically track a set-point under any PI control parameters within the feasible region. First, the first-order nonlinear stochastic time-delay systems is transformed into a linear stochastic time-delay systems with the uncertainty. Second, for the fixed PI control parameters, the maximal allowable time delay under PI control is obtained by using the genetic algorithm (GA) and the generalized eigenvalue problem. Third, a new algorithm is proposed to compute the feasible region of PI control parameters for a fixed allowable time delay. Moreover, the improved algorithm is also proposed to reduce the time complexity. In particular, the stochastic disturbance and time delay disappear, the feasible region of PI control parameters obtained by the algorithm is consistent with the previous work. Finally, two simulation examples show the feasibility and effectiveness of the proposed two algorithms, respectively.

关键词： PI control time delay nonlinearity stochastic disturbance genetic algorithm

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Research on Upper Limb Rehabilitation Action Recognition Method of Unsupervised Contrast Learning Based on Time-domain Multi-scale Feature Fusion 5

Research on Upper Limb Rehabilitation Action Recognition Met...

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5th International Conference on Intelligent Robotics and Control engineering, IRCE 2022

作者： Sun, Yuechao Li, Xing Wang, Jianhui Li, Donglin Zhu, Yuxuan School of Information Science and Engineering Northeastern University Shen Yang China School of Electrical Engineering & Intelligentization Dongguan University of Technology Dongguan China Northeastern University State Key Laboratory of Synthetical Automation for Process Industries Shenyang China

ISBN: (数字)9781665469951

ISBN: (纸本)9781665469951

Vision-based action recognition technology plays a major role in human-robot interaction during the upper limb rehabilitation training of stroke patients with the aid of an upper limb rehabilitation robot. To address the problems that supervised learning requires a large amount of manual labeling, which is time-consuming and inefficient, in this paper, we present an upper limb rehabilitation action recognition method of unsupervised contrast learning based on multi-scale feature fusion and we improves SimCLR by replacing the single-scale CNN with Inception V1 which contains the multi-scale feature fusion module and increasing the temporal dimension based on the idea of the expanded convolutional neural network to fully extract the Spatio-temporal feature information of the actions. The experiment results show that unsupervised contrast learning based on time-domain multi-scale feature fusion achieves recognition accuracy of 92.59% for 8 upper limb rehabilitation actions without extensive manual labeling. It can help patients recover their motor functions through upper limb rehabilitation training. © 2022 IEEE.

关键词： Time domain analysis

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Robust Control for a Class of Nonlinear Systems Against Denial-of-Service Attacks

Robust Control for a Class of Nonlinear Systems Against Deni...

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2021 China automation Congress, CAC 2021

作者： Ding, Wei Zhang, Jin-Xi Faculty of Electrical Engineering and Automation Changshu Institute of Technology Changshu China State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang China

ISBN: (纸本)9781665426473

This paper explores the state-feedback control problem for a family of nonlinear systems subject to denial-of-service (DoS) attacks. The unknown nonlinearities and DoS attacks involved in the closed loop render the existing approaches for resilient control of linear systems or robust nonlinear control infeasible. A solution is provided by designing a novel robust control scheme together with a constraint-handling technique. Two technical lemmas are also given to establish the boundedness of the signals in the resulting control system. As a distinct property, our approach is flexible enough such that the system reaches a predefined steady state in a specified time after the occurrence of DoS attacks. © 2021 IEEE

关键词： Denial-of-service attack

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Deep Transfer Learning-Based Intelligent Diagnosis of Malignant Tumors on Mammography 3

Deep Transfer Learning-Based Intelligent Diagnosis of Malign...

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3rd International Conference on Industrial Artificial Intelligence, IAI 2021

作者： Ding, Wei Zhang, Jin-Xi Changshu Institute of Technology Faculty of Electrical Engineering and Automation Changshu China Northeastern University State Key Laboratory of Synthetical Automation for Process Industries Shenyang China

ISBN: (纸本)9781665435178

In this paper, we propose a deep transfer learning-based intelligent diagnosis approach for malignant tumors on mammography. An image segmentation algorithm is developed to remove the background, noise, and other redundancy in the image, for improving the learning efficiency. Based on the GoogleNet after training, we apply the transfer learning technique to the processed image. In this way, the accuracy of the classification model is improved. The experiment results show that the accuracy of our image segmentation algorithm is 100%, using only one-third of the data in training;the accuracy of our training approach is with the highest and average accuracy of 83% and 70%, respectively, by 2 × 104 iterations;and the area under the receiver operating characteristic curve is 0.77. These results are superior to those obtained by the existing methods. © 2021 IEEE.

关键词： Image enhancement

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Robust sensor faults observer design for continuous-time switched systems using descriptor approach

Robust sensor faults observer design for continuous-time swi...

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IEEE SSD International Multi-Conference on Systems, Signals and Devices

作者： Mohamed Elouni Habib Hamdi Bouali Rabaoui Naceur BenHadj Braiek Mickael Rodrigues Advanced Systems Laboratory Polytechnic School of Tunisia University of Carthage La Marsa Tunisia Automation and Process Engineering Laboratory University of Lyon Lyon Villeurbanne France

This paper considers the problem of designing a robust descriptor observer for simultaneous state and sensor faults estimation of continuous-time switched linear systems in the presence of unknown external disturbances. An augmented singular switched system is constructed from the original switched systems by considering the sensor faults term as a part of a new extended state vector. Stability conditions are established and formulated into H ∞ performances by minimizing the effect of external disturbance from the residual and a Lyapunov stability theory is utilized for switched system stability combined with the Average Dwell Time (ADT) concept. The observer parameter matrices are also determined by solving a convex optimization problem under Linear Matrix Inequalities (LMI) constraints. Finally, a numerical example and a Highly MAneuverable Technology (HiMAT) vehicle are investigated to prove the efficacy of the obtained results.

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Integrated Design of Fault-Tolerant Control for a Class of Switching Systems with Sensor Faults

Integrated Design of Fault-Tolerant Control for a Class of S...

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International Conference on Systems and Control (ICSC)

作者： Mohamed Elouni Habib Hamdi Bouali Rabaoui Mickael Rodrigues Naceur BenHadj Braiek Advanced Systems Laboratory Polytechnic School of Tunisia University of Carthage La Marsa Tunisia Automation and Process Engineering Laboratory University of Lyon Lyon Villeurbanne France

This paper proposes an integrated design of fault tolerant control (FTC) for continuous-time switched systems in the presence of sensor faults and external disturbances. A switched descriptor observer is proposed to estimate the sensor faults and system states simultaneously, and using the estimates, a state feedback fault-tolerant controller is constructed to en-sure the robust stability of the closed-loop system. The observer and controller gain are determined through H ∞ optimization using a one-step Linear Matrix Inequality (LMI) formula. This is achieved by utilizing multiple Lyapunov functions and the concept of Average Dwell Time (ADT) switching signal. Sufficient conditions, characterized by reduced conservatism, are then derived and expressed in LMI form. Finally, a simulation analysis of a two-tank liquid level control system is presented to illustrate the effectiveness of the developed integrated FTC strategy.

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On the Synthesis of an Integrated Active FTC Scheme for Continuous-Time Switched Systems with Actuator Faults

On the Synthesis of an Integrated Active FTC Scheme for Cont...

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International Conference on Advanced Systems and Electric Technologies (IC_ASET)

The present paper aims to design an integrated state/fault estimation and fault tolerant control issues for switched systems affected by actuator fault and external disturbances. A switched adaptive state/fault estimation observer is proposed to simultaneously estimate the system state and actuator fault. Based on this observer, we develop a fault tolerant control law not only to stabilize the closed-loop system, but also to compensate the faults effects. Then, by using the switched Lyapunov function and Average Dwell Time (ADT) concept, some sufficient conditions are derived and applied to build the switched adaptive observer-based state feedback controller. The observer and controller gain matrices are also obtained by solving an optimization problem with Linear Matrix Inequality (LMI) constraints. Finally, simulation results of a switched electrical system are presented to illustrate the effectiveness of the proposed design methods.

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Simulation study on interaction coefficient of DEM in non-spherical large size (5-30 mm) coal particles

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Particuology 2020年第6期18卷 142-153页

作者： Daolong Yang Yanxiang Wang Jianping Li Qingkai Wang Yuntao Wang Yanting Yu School of Mechareonic Engineering Jiangsu Normal UniversityXuzhou 221116China State Key Laboratory of Process Automation in Mining&Metallurgy/Beijing Key Laboratory of Process Automation in Mining&Metallurgy Beijing 102600China School of Mechatronic Engineering China University of Mining and TechnologyXuzhou221116China

The pneumatic conveying system of coal particles can greatly reduce the dust and improve the environmental quality at underground mining workface and the surrounding of coal *** particle shape and the interaction coefficients between particles and the contact surface play important roles in the pneumatic conveying and CFD-DEM *** order to build the semblable shape models and obtain the accurate interaction coefficients of large coal particles,this article establishes the con tact model by the particle overlap method and describes the mathematical model of the shape characteristics for large coal *** particle models are simulated by adopting the multi-index mixed orthogonal *** accumulation density,the porosity and the error between simulation and experiment are taken as the indexes,and the particle models and the particle contact coefficients are taken as the orthogonal test *** a result,three more accurate particle models and their interaction coefficients are obtained,which provide the model basis for the pneumatic conveying of large coal particles.

关键词： Non-spherical particle DEM Particle shape Large size particle Orthogonal experiment

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An Improved PSO for Clock Synchronization Subject to Disturbances 9

An Improved PSO for Clock Synchronization Subject to Disturb...

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9th IEEE Smart World Congress, SWC 2023

作者： Liu, Shuxin Dai, Xuewu Jia, Zhian Zhou, Dong Cui, Dongliang Northumbria University Faculty of Engineering and Environment Newcastle Upon TyneNE1 8ST United Kingdom Northeastern University The State Key Laboratory of Synthetical Automation for Process Industries Shenyang China Qiqihar Heavy Cnc Equipment.Ltd Qiqihar China

ISBN: (纸本)9798350319804

To improve the clock synchronization accuracy of wireless networks subject to the period disturbance caused by the wireless transceiver, this paper develops a perturbation compensation loop with the capability of compensating the periodic perturbations. The stability of the closed-loop system is analyzed. Improved Particle Swarm Optimization (IPSO) algorithm is proposed to optimize the parameters of the disturbance compensation system. The proposed scheme is based on the General Proportional Integral Observer (GPIO). Compared with the traditional protocol without a GPIO compensator by numerical simulation, the results show that the proposed scheme eliminates the impact of low-frequency disturbance during packet exchange on synchronization error, and improves clock synchronization accuracy. The maximum synchronization error is 387.6ns reduced from 913.7ns. © 2023 IEEE.

关键词： clock synchronization disturbance rejection particle swarm optimization

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