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第三十三届中国控制会议

作者： GAN Yahui DAI Xianzhong DA Qi School of Automation Southeast University Key Lab of Measurement and Control of Complex Systems of Engineering Ministry of Education

ISBN: (纸本)9781479947249

The problem of how to emulate a manual welding process by two cooperative robotic manipulators is investigated in this *** emulating process is intrinsically a trajectory planning process for the two cooperative *** of skilled welders and technical requirements in a welding process have been modeled and integrated into the robot trajectory planning *** model of trajectory planing for two cooperative robots doing a welding task is in a constrained optimization form.A Genetic Algorithm solver has been adopted to solve such an optimization ***-connect-pipe welding experiment has been carried out at the end of the paper and the weld results verified the effectiveness of our method.

关键词： emulate manual welding,cooperative robot,Genetic Algorithm,Pipe-connect-pipe welding

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Unveiling the Mechanisms of the Development of Students' Artificial Intelligence Application Abilities in Interdisciplinary Education

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Computer Applications in engineering Education 2025年第3期33卷

作者： Xing, Zhizhong Meng, Zhijun Zhang, Xin Tan, Li Yang, Lin Guo, Xiaojun Wu, Huidong School of Rehabilitation Kunming Medical University Yunnan Kunming China Medical Imaging Key Laboratory of Sichuan Province North Sichuan Medical College Nanchong China Fujian Key Laboratory of Special Intelligent Equipment Safety Measurement and Control Fujian Special Equipment Inspection and Research Institute Fuzhou China School of Mechanical Engineering Xi'an Jiaotong University Xi'an China Xi'an Aerospace Automation Co. Ltd Xi'an China School of Mechanical & Automotive Engineering South China University of Technology Guangzhou China

The convergence of multiple disciplines like medicine and engineering has spurred the swift progress of technologies including big data and artificial intelligence in the educational realm. The sustainable development of students' artificial intelligence application abilities is an important task in education. To enhance the precision and interdisciplinary nature of research in improving students' artificial intelligence application abilities, our study delves deeply into the mechanisms behind these abilities. We innovatively used cutting-edge methods such as knowledge graphs to conduct multidimensional analysis, combined with the background of the times to explore the reasons for the changes in research hotspots and publication volume, and comprehensively presented the research process and development status of students' artificial intelligence application abilities from a global perspective. We found that the field of students' artificial intelligence application abilities is gradually shifting towards interdisciplinary integration with strong comprehensiveness, and deep cooperation across countries, disciplines, and teams will bring greater and more profound development opportunities. On the path of interdisciplinary intersection and artificial intelligence integration, this study provides references and new insights into the development trends of students' artificial intelligence application abilities. Additionally, it effectively promotes the scientific development of students' abilities in the field of artificial intelligence applications at the intersection of multiple disciplines such as medicine and engineering. © 2025 Wiley Periodicals LLC.

关键词： Students

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Development of electric cart for improving walking ability — application of control theory to assistive technology

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Science China(Information Sciences) 2017年第12期60卷 262-270页

作者： Jinhua SHE Yasuhiro OHYAMA Min WU Hiroshi HASHIMOTO School of Engineering Tokyo University of Technology School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Master Program of Innovation for Design & Engineering Advanced Institute of Industrial Technology

This paper explains the development of an electric cart that helps the elderly maintain or improve their physical strength. Unlike commercially available ones, it has a pedal unit that provides some exercise for a user in training his lower limbs. An impedance model describes the feeling of pushing the pedals. The largest pedal load is determined based on a pedaling experiment. An H∞ controller is designed for each of the largest pedal load and virtually no load. A control law, which is based on the concept of dynamic parallel distributed compensation, is designed using the rating of perceived exertion of a driver as a criterion to choose a pedal load between the largest and almost zero. Five university students and twelve elderly people participated experiments to verify the system design and the validity of the system.

关键词： aging Borg’s scale dynamic parallel distributed compensation electrical cart H_∞ control Karvonen formula lower limbs pedaling rating of perceived exertion

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Robust Adaptive control Design for Rotorcraft Unmanned Aerial Vehicles Based on Sliding Mode Approach

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Transactions of Tianjin University 2014年第6期20卷 393-401页

作者：郭建川鲜斌 Tianjin Key Laboratory of Process Measurement and Control School of Electrical Engineering and AutomationTianjin University

This paper presents a nonlinear robust control design method for a generic rotorcraft unmanned aerial vehicle(RUAV). The control objective is to let the RUAV track some pre-defined time-varying position and heading trajectories. The proposed controller employs feedback linearization process to realize the dynamic decoupling control and applies adaptive sliding mode control to compensate for the parametric uncertainties and external disturbances. The global asymptotical stability is proved via stability analysis. Compared with the cascaded controller, the proposed controller demonstrates a superior tracking performance and robustness through numerical simulation in the presence of parametric uncertainties and unknown disturbances.

关键词： rotorcraft unmanned aerial vehicle (RUAV) nonlinear robust control sliding mode control parametricuncertainty wind gust disturbance

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Robust adaptive control for uncertain systems with discrete and distributed delays

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控制理论与应用（英文版） 2008年第3期6卷 287-292页

作者： Qing ZHU Shumin FEI Tao LI Tianping ZHANG Key Laboratory of Measurement and Control of Complex Systems of Engineering School of Automation Southeast University Nanjing Jiangsu 210096 China College of Information Engineering Yangzhou University Yangzhou Jiangsu 225009 China

In this paper, a robust adaptive control scheme is proposed for the stabilization of uncertain linear systems with discrete and distributed delays and bounded perturbations. The uncertainty is assumed to be an unknown continuous function with norm-bounded restriction. The perturbation is sector-bounded. Combining with the liner matrix inequality method, neural networks and adaptive control, the control scheme ensures the exponential stability of the closed-loop system for any admissible uncertainty.

关键词： Time-delay systems Robust control Adaptive control Neural networks Global exponential stability Linear matrix inequalities

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A new image denoising method based on steer ketnel regression

A new image denoising method based on steer ketnel regressio...

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2020 Jiangsu Annual Conference on automation, JACA 2020

作者： Shi, Gongbiao Chai, Lin Jin, Lizuo Key Laboratory of Measurement and Control of Complex Systems of Engineering School of Automation Southeast University Nanjing210096 China

ISBN: (纸本)9781839535635

In this paper, we propose a new image pyramid denoising model based on the iterative steer kernel regression (ISKR) method. By introducing an image pyramid to generate images at multiple scales, it can filter out large-scale noise on low-resolution images and preserve details on the high-resolution image, and then we fuse the denoised images of multiple resolutions into a high-quality image by up-sampling noise residual. This method can improve denoising performance efficiently. and reduce the cost of calculation. Experiments show that this model reduces calculation by about 58% compared with the ISKR method while ensuring a good denoising effect. © 2020 Institution of engineering and Technology. All rights reserved.

关键词： Image denoising

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Path Planning for Distribution Network Robots with Adaptive Simulated Annealing-Enhanced Artificial Potential Field Method

Path Planning for Distribution Network Robots with Adaptive ...

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IEEE International Conference on Industrial Technology (ICIT)

作者： Baichao Zhang Xin Chen Jinge Chen Jinbin Li Xiaokai Wang Xu Jian School of Automation China University of Geosciences Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan China State Grid Hubei Electric Power Co. Ltd. Electric Power Science Research Institute Wuhan P. R. China Hubei Fangyuan Dongli Electric Power Science Research Co. Ltd Wuhan P. R. China

ISBN: (数字)9798331521950

ISBN: (纸本)9798331521967

In this paper, we propose a hybrid algorithm that combines an improved Artificial Potential Field (APF) method with the Simulated Annealing (SA) algorithm for path planning of an electric power operation robot manipulator in complex distribution grid environments. To address the unreachable target issue inherent in traditional APF, we introduce a distance regulation factor to optimize the repulsive function. This modification allows the manipulator to smoothly approach the target point as it nears, while the repulsion from obstacles gradually decreases. Additionally, to overcome the limitations of the traditional SA algorithm, such as its tendency to get trapped in local minimum solutions and its inefficiency in complex environments, we propose an adaptive temperature rise strategy. This strategy increases the temperature, enhancing the probability of escaping local optimal solutions. When the APF algorithm becomes trapped in a local optimum, the improved SA algorithm is applied to escape the local minimum. Once the local optimum is avoided, the algorithm switches back to APF to continue the path planning process. Simulation results demonstrate that the proposed improved APF-SA algorithm adapts effectively to various complex environments, achieving shorter planning times and higher success rates compared to traditional APF and SA algorithms. It successfully resolves the unreachable target and local minimum problems associated with APF. Finally, the feasibility of the proposed APF-SA fusion algorithm is validated through experiments conducted on an electric power operation robot experimental platform for distribution grid applications.

关键词： Electric potential Adaptation models Force Distribution networks Simulated annealing Manipulators Path planning Planning Collision avoidance Robots

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Human-like Manipulation Planning for Articulated Manipulator

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Journal of Bionic engineering 2012年第4期9卷 434-445页

作者： Yahui Gan Xianzhong Dai School of Automation Southeast UniversityNanjing 210096P.R.China Key Lab of Measurement and Control of Complex Systems of Engineering Ministry of EducationNanjing 210096P.R.China

A new method based on human-likeness assessment and optimization concept to solve the problem of human-like ma- nipulation planning for articulated robot is proposed in this paper. This method intrinsically formulates the problem as a con- strained optimization problem in robot configuration space. The robot configuration space is divided into different subregions by human likeness assessment. A widely used strategy, Rapid Upper Limb Assessment （RULA） in applied ergonomics, is adopted here to evaluate the human likeness of robot configuration. A task compatibility measurement of the robot velocity transmission ratio along a specified direction is used as the target function for the optimization problem. Simple illustrative examples of this method applied to a two Degree of Freedom （DOF） planar robot that resembles the upper limb of a human are presented. Further applications to a humanoid industrial robot SDA10D are also presented. The reasonable planning results for these applications assert the effectiveness of our method.

关键词： manipulation planning human likeness rapid upper limb assessment applied ergonomics task compatibilitymeasurement velocity transmission ratio

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Weighted Consensus of Multi-Agent systems Using both Time-delay State and Current State 35

Weighted Consensus of Multi-Agent Systems Using both Time-de...

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第35届中国控制会议

作者： He Ying-gao Wang Xiang-yu Wuxi Institute of Arts & Technology School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education

ISBN: (纸本)9781509009107

This paper investigates consensus of continuous-time multi-agent system through adjusting the proportion of the current state and time-delay state in the control algorithm,supposing that its topology is fixed and a directed interconnection graph which contains a spanning tree.A sufficient condition for the convergence to a consensus is proposed and proved based on the generalized Nyquist stability criterion and the Gerschgorin disk theorem.A method is found to enlarge upper bound on the maximum time-delay,numerical simulations are shown to demonstrate the validity of the achieved theoretical results.

关键词： multi-agent system weighted consensus Nyquist criterion Gerschgorin disk theorem

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Nonlinear composite bilateral control framework for n-DOF teleoperation systems with disturbances

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Science China(Information Sciences) 2018年第7期61卷 182-199页

作者： Zhenhua ZHAO Jun YANG Cunjia LIU Wen-Hua CHEN School of Automation Southeast University Key Laboratory of Measurement and Control of CSEMinistry of Education Department of Aeronautical and Automotive Engineering Loughborough University

This paper proposes a new nonlinear composite bilateral control framework for n-degree-offreedom(n-DOF) teleoperation systems with external disturbances. Different with the existing methods which usually regard the dynamics of the master and slave robots as linear impedance models, the proposed control framework fully considers the nonlinear dynamics of the n-DOF teleoperation systems. Central to the proposed framework is the utilization of nonlinear disturbance observers for estimating the disturbances in master and slave robot systems. The nonlinear composite bilateral controller is constructed by incorporating the disturbance estimations into the nonlinear feedback linearization controller. The proposed control method guarantees satisfactory position tracking performance and desired remote force haptic simultaneously for the n-DOF teleoperation systems with external disturbances. The effectiveness of the proposed control framework is validated by its applications on 2-DOF teleoperation systems.

关键词： teleoperation system nonlinear bilateral control remote force haptic disturbance rejection nonlinear disturbance observer

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