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43rd Chinese control Conference, CCC 2024

作者： Yu, Zhengtao Yang, Jun Su, Jinya Southeast University School of Automation Nanjing210096 China Southeast University Key Laboratory of Measurement and Control of CSE Ministry of Education Nanjing210096 China Loughborough University Department of Aeronautical and Automotive Engineering LoughboroughLE11 3TU United Kingdom

ISBN: (纸本)9789887581581

This study develops a simple real-time algorithm inferring the relative distance between containers stacked in operational yards and spreaders of Rubber Tire Gantry (RTG) in support of fully automated RTG operations in ports. The proposed scheme is based on SOLOv2 instance segmentation network with image captured by camera mounted on RTG driver's cab. Specifically, distance calculation is achieved by containers' surface recognition via instance segmentation and geometric information pertaining to the containers. To meet the dual demands of accuracy and reduced resource consumption, the original backbone network of SOLOv2, namely resnet18, is replaced by GhostNet. This substitution enables the extraction of multi-level feature maps for fusion, significantly reducing network complexity without sacrificing accuracy. The proposed algorithm is validated by comparative experiments on a self-curated real-life dataset, demonstrating a remarkable reduction of 91.6% in FLOPS and 55.7% in Params for the improved SOLOv2 framework. © 2024 Technical Committee on control Theory, Chinese Association of automation.

关键词： Image segmentation

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Dynamic Event-Triggered Fixed-Time Consensus Analysis of Multi-Agent Systems Under Input Delays and Switching Topologies

Dynamic Event-Triggered Fixed-Time Consensus Analysis of Mul...

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On-Line Conference (ONCON), Industrial Electronics Society Annual

作者： Yu Zhang Yajing Li Guangtao Ran Hao Yu Guangfu Ma Department of Automation Harbin Institute of Technology (Shenzhen) Shenzhen China Shanghai Institute of Aerospace System Engineering Shanghai China Department of Control Science and Engineering Harbin Institute of Technology Harbin China School of Automation Beijing Institute of Technology Beijing China

ISBN: (数字)9798331540319

ISBN: (纸本)9798331540326

This paper proposes a dynamic event-triggered control method for first-order multi-agent systems with input delays and disturbances under switching topologies. The controller design and its properties of dynamic event-triggered fixed-time consensus are presented in detail. Furthermore, agents can achieve consensus in a fixed time for any initial conditions and topologies that comply with the control protocol. Zeno behavior is avoided. Simulation examples demonstrate the effectiveness of the proposed algorithm and simulate scenarios in which the communication environment deteriorates due to external disturbances affecting the MASs.

关键词： Industrial electronics Protocols Event detection Switches control systems Stability analysis Topology Delays Numerical stability Multi-agent systems

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A Trigger Method Applied to the Development of Measurement Devices for Radiometric Measurement Systems

A Trigger Method Applied to the Development of Measurement D...

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2022 International Conference on Electrical, Computer, Communications and Mechatronics engineering, ICECCME 2022

作者： Mustafa, Thair I. A. H. Cabral, Sergio H. L. Almaguer, Hugo A. D. Meyer, Luiz H. Pitz, Ciro Cereja, José E. M. Fischer, Marcel V. T. Dias, Clayton R. Gili, Cleiton University of Blumenau Department of Electrical Engineering Blumenau Brazil Federal University of Santa Catarina Department of Control Automation and Computation Engineering Blumenau Brazil CPFL Transmission Department of System Operation Porto Alegre Brazil Gili Energy Electronics Presidente Nereu Brazil

ISBN: (数字)9781665470957

ISBN: (纸本)9781665470957

Based on the experience of the authors, represented by several published papers about radiometry applied to power circuit-breaker analyses, efforts towards the development of a radiometric measurement device for replacing the commercially available digital oscilloscope are qualitatively described. The main reason for this search for the replacement relies on the fact that the triggering system and principles of commercially available oscilloscopes are not as fully confident as they must be for radiometric systems applied to power circuit-breaker analysis. For implementing this, the very first step is to adopt a new method of data processing, which is presented in this work and is to be combined with a future hardware structure for composing the triggering system of a new radiometric measurement device. The examples given show how effective the new proposal is. © 2022 IEEE.

关键词： Electric circuit breakers

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Stability and Bifurcation control of Fractional-Order Coupled Hindmarsh-Rose Neural Networks 42

Stability and Bifurcation Control of Fractional-Order Couple...

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42nd Chinese control Conference, CCC 2023

作者： Liu, Feng Zhou, Feifan Wang, Wei Cai, Gang Wang, Hua O Yang, Xiuqin School of Automation China University of Geosciences Wuhan430074 China Engineering Research Center of Ministry of Education for Intelligent Technology of Earth Exploration China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Boston University Department of Mechanical Engineering BostonMA02215 United States School of Education Minzu University of China Beijing100081 China

ISBN: (纸本)9789887581543

This article investigates a fractional-order coupled Hindmarsh-Rose neural networks model. Firstly, the existence and stability of an equilibrium point in the system are verified. Then, the periodic bifurcation behavior of the system on a two-parameter plane is studied, and numerical simulations show the existence of both non -chaotic and chaotic plus periodic bifurcation behavior on the two-parameter plane. Finally, a feedback controller was designed to stabilize the bifurcation point of the delayed system and increase the stable range of the system. © 2023 Technical Committee on control Theory, Chinese Association of automation.

关键词： Neural network models

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Experimental Design of Lower-limb Movement Recognition Based on Support Vector Machine 41

Experimental Design of Lower-limb Movement Recognition Based...

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第41届中国控制会议

作者： Wangyang Ge Juan Zhao Feng Wang Chi Xu Zhaohui Yang Jinhua She School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Department of Rehabilitation Union HospitalTongji Medical CollegeHuazhong Univ.Science & Technology School of Engineering Tokyo University of Technology

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

As a rehabilitation aid,the lower extremity rehabilitation robot usually works together with the patient during the rehabilitation training process,and achieves therapeutic effects by assisting the patient to complete movements within a certain trajectory for *** realize the active training of the rehabilitation robot,the rehabilitation robot needs to be able to recognize the patient's movement intention and cooperate with *** signals contain rich neuromuscular movement information and are often used to extract patients' movement *** this paper,using the principle of human lower extremity force generation,we designed an experiment for lower extremity action recognition of sEMG *** extracting the composition of feature vectors through time-domain feature values,we designed an SVM classifier to achieve the classification of five common lower extremity actions and obtained an average accuracy rate of 90.66% through the experiment,which verified the effectiveness of the experimental design.

关键词： sEMG signal SVM movement recognition lower-limb

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Self-Tuning Subordinate control System Based on Neural Network for Nonlinear Electric Drivers of Lower Limbs of Exoskeleton

Self-Tuning Subordinate Control System Based on Neural Netwo...

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2022 Conference of Russian Young Researchers in Electrical and Electronic engineering, ElConRus 2022

作者： Belov, Mikhail P. Dang Truong, Dinh Khoa, Tran Dang Saint Petersburg Electrotechnical University Department of Robotics and Industrial Automation Leti Saint Petersburg Russia Le Quy Don Technical University Department of Control Engineering Hanoi Viet Nam

ISBN: (纸本)9781665409933

This article proposes a subordinate system control with a self-turning adaptation of the coefficients of the PID controller of position control loop by an analog neural network for nonlinear electric drive of lower limb exoskeleton (LLE) under the influence of uncertain parameters of the dynamic model, nonlinear elements (friction, elasticity of the dynamic model), and stochastic external disturbances. To correct the coefficients of traditional PID controllers, it is proposed to use a neural network (NN), which allows self-tuning the coefficients directly from its outputs based on errors of the control system with the possibility of self-determination of the Jacobian matrix of the neural network. The paper also produces the dynamics model of exoskeleton movement with five links of two legs and a body, considering nonlinear electric drives and external disturbances acting. The efficiency of the proposed control method with the joint motion angular response of exoskeleton is proved by results simulation in the environment Matlab/ Simulink. © 2022 IEEE.

关键词： controllers

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Dynamic Analysis and control of Fractional Order Memristor Hopfield Neural Network 42

Dynamic Analysis and Control of Fractional Order Memristor H...

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42nd Chinese control Conference, CCC 2023

作者： Liu, Feng Cai, Gang Zhou, Feifan Wang, Wei Wang, Hua Yang, Xiuqin School of Automation China University of Geosciences Wuhan430074 China Engineering Research Center of Ministry of Education for Intelligent Technology of Earth Exploration China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan4300748 China Boston University Department of Mechanical Engineering BostonMA02215 United States School of Education Minzu University of China Beijing100081 China

ISBN: (纸本)9789887581543

In this paper, a novel smooth magnetron is introduced to construct a fractional memristor Hopfield neural network (fractional order M-HNN). The local stability of equilibrium point are analyzed theoretically. Taking the memristor coupling strength coefficient and the fractional order as bifurcation parameters, the phase trajectory diagram, the bifurcation diagram of the system are drawn to analyze the influence on the dynamic behavior of the neural network. When the system parameters are fixed, the hyperchaos phenomenon of the fractional order M-HNN model is revealed. Finally, the PD controller is applied to the model to enhance the stability of the system. © 2023 Technical Committee on control Theory, Chinese Association of automation.

关键词： Hopfield neural networks

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Development of a prototype of an intelligent system for predicting the quality of dairy manufacture 11

Development of a prototype of an intelligent system for pred...

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11th IEEE International Conference on Intelligent Systems, IS 2022

作者： Smitiukh, Yaroslav Samoilenko, Yuliia Kostiuk, Yuliia Kryvoruchko, Olena Stepashkina, Kateryna National University of Food Technologies Department of Automation and Computer Technologies of Control Systems Kyiv Ukraine State University of Trade and Economics Department of Software Engineering and Cyber Security Kyiv Ukraine

ISBN: (纸本)9781665456562

The technological process of the churning process in continuous butter manufacture were considered. The qualitative indicator of the water content of butter was modeled on the basis of a set of industrial data using an artificial neural network (ANN). The prototype of an intelligent system for predicting of the water content of butter allows to increase the information support of the operator-technologist. The proposed model predicts the water content of butter with an error of less than 2%. The input variables of the forecast model prototype are cream fat content, cream ripening temperature, cream supply temperature, frequency of revolutions of the stirrer of the whipping device, and consumption of the normalizing component. Further research is aimed at the development of a decision support information system for dairy manufacture and should be integrated into the subsystem of automated control of the technological process to ensure proper functioning in real time. © 2022 IEEE.

关键词： Intelligent systems

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Stability and Bifurcation control of Fractional BAM Neural Networks with Diffusion and Time Delays 42

Stability and Bifurcation control of Fractional BAM Neural N...

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42nd Chinese control Conference, CCC 2023

作者： Liu, Feng Wang, Wei Cai, Gang Zhou, Feifan Wang, Hua O Yang, Xiuqin School of Automation China University of Geosciences Wuhan430074 China Engineering Research Center of Ministry of Education for Intelligent Technology of Earth Exploration China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Boston University Department of Mechanical Engineering BostonMA02215 United States School of Education Minzu University of China Beijing100081 China

ISBN: (纸本)9789887581543

Based on fractional calculus theory and reaction-diffusion equation theory, a fractional-order time-delay reaction-diffusion neural network with Neumann boundary conditions is investigated. By constructing the phase space basis based on the Laplace operator eigenvector, the system equation is linearized to obtain the characteristic equation. Then, the characteristic equation is analyzed, and the local stability of the system at the equilibrium point is discussed. And taking the time delay as the bifurcation parameter, the stability changes of the system at the equilibrium point and the generation conditions of the Hopf bifurcation are studied when the time delay changes. Moreover, a state feedback controller is designed to control the bifurcation of the system. Finally, the theoretical derivation is verified by numerical simulation. © 2023 Technical Committee on control Theory, Chinese Association of automation.

关键词： Time delay

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Linear parameter-varying model predictive control for nonlinear systems using general polytopic tubes

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Automatica 2024年 160卷

作者： Abbas, Hossam Seddik Institute for Electrical Engineering in Medicine University of Lübeck Moislinger Allee 53-55 Lübeck23558 Germany Automation and Control Group Department of Electrical and Information Engineering Faculty of Engineering Kiel University Kaiserstraße 2 Kiel24143 Germany

This paper deals with model predictive control (MPC) for nonlinear systems using linear-parameter varying (LPV) embedding of the nonlinear dynamics (LPVMPC). The proposed LPVMPC can incorporate information of the future evolution of the scheduling parameter over the MPC prediction horizon with uncertainty bounds, which are used to construct anticipated scheduling tubes for robustification. Therefore, this approach is less conservative than the methods that only consider knowledge of the bounds on the scheduling parameter's rate of variation. The scheduling tubes are employed to synthesize online general polytopic invariant state tubes. The optimization problem of the proposed LPVMPC is a single quadratic program. Recursive feasibility is proven. A numerical example is presented for demonstrating the effectiveness of the proposed LPVMPC algorithm compared to nonlinear MPC and other standard approaches. © 2023 Elsevier Ltd

关键词： Model predictive control

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