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IEEE/IAS International Conference on Industrial automation and Control, IA & C

作者： K. Sridharan H.E. Stephanou S.S. Keerthi New York State Center for Adv. Technol. in Autom. & Robotics Rensselaer Polytech. Inst. Troy NY USA New York State Center for Advanced Technology in Automation and Robotics Rensselaer Polytechnic Institute Troy NY USA Department of Computer Science and Automation Indian Institute of Science Bangalore India

Techniques such as genetic algorithms, simulated annealing and evolutionary programming constitute a discipline often referred to as computational intelligence. During the past decade, a number of computationally difficult problems in optimization have been solved reasonably well by application of these techniques. The authors' goal in the paper is to present a brief description of these techniques and consider some applications to engineering problems.< >

关键词： Computational intelligence Computer industry Genetic algorithms robotics and automation Simulated annealing Application software Computational modeling Computer simulation Genetic programming Biological system modeling

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An integrated collision prediction and avoidance scheme for mobile robots in non-stationary environments

An integrated collision prediction and avoidance scheme for ...

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IEEE International Conference on robotics and automation (ICRA)

作者： K.J. Kyriakopoulos G.N. Saridis New York State Center for Advanced Technology in Automation and Robotics Rensselaer Polytechnic Institute Troy NY USA NASA Center of Intelligent Robotic Systems for Space Exploration Rensselaer Polytechnic Institute Troy NY USA

A formulation that makes possible the integration of collision prediction and avoidance stages for mobile robots moving in general terrains containing moving obstacles is presented. A dynamic model of the mobile robot and the dynamic constraints are derived. Collision avoidance is guaranteed if the distance between the robot and a moving obstacle is nonzero. A nominal trajectory is assumed to be known from off-line planning. The main idea is to change the velocity along the nominal trajectory so that collisions are avoided. A feedback control is developed and local asymptotic stability is proved if the velocity of the moving obstacle is bounded. Simulation results verify the value of the proposed strategy.< >

关键词： Mobile robots robotics and automation Intelligent robots Orbital robotics Trajectory Motion planning Path planning Collision avoidance Space technology NASA

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Learning-based Event-triggered Adaptive Optimal Output Regulation of Linear Discrete-time Systems 10

Learning-based Event-triggered Adaptive Optimal Output Regul...

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10th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2021

作者： Zhao, Fuyu Gao, Weinan Liu, Tengfei Jiang, Zhong-Ping State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang110819 China College of Engineering and Science Florida Institute of Technology Department of Mechanical and Civil Engineering MelbourneFL32901 United States New York University Six MetroTech Center Department of Electrical and Computer Engineering BrooklynNY11201 United States

ISBN: (纸本)9781665424233

In this paper, a data-driven event-triggered output-feedback control approach is proposed to solve the problem of adaptive optimal output regulation for uncertain discrete-time linear systems when only the output information is available. A crucial strategy is to develop a novel co-design scheme for the event-triggering mechanism and the data-driven optimal controller. Theoretical analysis and an application to a LCL coupled inverter-based distributed generation system demonstrate the effectiveness of the proposed learning-based, event-triggered, adaptive optimal controller design with output-feedback. © 2021 IEEE.

关键词： Digital control systems

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Attitude tracking control of a quadrotor based on linear active disturbance rejective control

Attitude tracking control of a quadrotor based on linear act...

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IEEE International Conference on Cyber technology in automation, Control, and Intelligent Systems

作者： Jingdu Gao Yan Zhuang Jizhong Xiao Yiwen Zhao School of Control Science and Engineering Dalian University of Technology Dalian China Department of Electrical Engineering The City College City University of New York New York USA State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China

A quadrotor is a typical multiple-input multiple-output (MIMO), underactuated, strong coupled nonlinear system with parameter uncertainty and unmodeled disturbance. To track the desired attitude and height, a linear active disturbance rejection control (LADRC) approach is utilized for the quadrotor control. LADRC has the capacity of estimating and compensating the generalized disturbance, and reduce the system to a unit gain double integrator, which is easily implemented and robust to environment disturbances. A simplified dynamic model of quadrotor is established using newton-Euler equations. The design of LADRC is verified through numerical simulation and compared with PID controller. Simulation results indicate the LADRC can be used to achieve good performance in tracking the desired attitude and height.

关键词： Mathematical model Control systems Observers Attitude control Aerodynamics Numerical models Propellers

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Optomechanical dissipative solitons (vol 600, pg 75, 2021)

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NATURE 2022年第7896期602卷 E24-E24页

作者： Zhang, Jing Peng, Bo Kim, Seunghwi Monifi, Faraz Jiang, Xuefeng Li, Yihang Yu, Peng Liu, Lianqing Liu, Yu-xi Alu, Andrea Yang, Lan Department of Electrical and Systems Engineering Washington University St. Louis MO USA Department of Automation Tsinghua University Beijing P. R. China Photonics Initiative Advanced Science Research Center City University of New York New York NY USA Physics Program Graduate Center City University of New York New York NY USA State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang P. R. China Institute of Microelectronics Tsinghua University Beijing P. R. China

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Policy Iteration and Event-Triggered Robust Adaptive Dynamic Programming for Large-Scale Systems ⁎

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IFAC-PapersOnLine 2021年第14期54卷 376-381页

作者： Fuyu Zhao Weinan Gao Tengfei Liu Zhong-Ping Jiang State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang 110819 China Department of Mechanical and Civil Engineering College of Engineering and Science Florida Institute of Technology Melbourne FL 32901 USA Department of Electrical and Computer Engineering New York University Six MetroTech Center Brooklyn NY 11201 USA

In this paper, an event-triggered robust optimal control approach is proposed for large-scale systems with both parametric and dynamic uncertainties through robust adaptive dynamic programming, policy iteration, and small-gain techniques. By using the input and output data, the unmeasurable states are reconstructed instead of constructing a Luenberger observer. Starting from an admissible control policy, an event-based feedback control policy is learned to save the communication resources and reduce the number of control updates. The closed-loop stability and the convergence of the proposed algorithm are analyzed by using Lyapunov and small-gain techniques. A practical example of multimachine power systems with governor controllers is given to demonstrate the effectiveness of the proposed method.

关键词： Output-feedback event-triggered control robust adaptive dynamic programming (RADP) small-gain theory large-scale system

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Modeling and control of Internet based cooperative teleoperation

Modeling and control of Internet based cooperative teleopera...

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IEEE International Conference on robotics and automation (ICRA)

作者： I. Elhajj N. Xi W.K. Fung Y.H. Liu Y. Hasegawa T. Fukuda Departmentof Electrical and Computer Engineering Michigan State University East Lansing MI USA Department of Michanical And Automation Endineerng Chinese University of Hong Kong New Territories Hong Kong China Center for Corperative Reserch in Advanced Science and Technology University of Nagoya Nagoya Japan

ISBN: (纸本)0780365763

Robotic operations carried out via the Internet face several challenges and difficulties. These range from human-computer interfacing and human-robot interaction to overcoming random time delay and task synchronization. These limitations are intensified when multi-operators at multisites are collaboratively teleoperating multirobots to achieve a certain task. In this paper, a new modeling and control method for Internet-based cooperative teleoperation is developed. Combining Petri net model and event-based planning and control theory, the new method provides an efficient way to model the concurrence and complexity of the Internet-based cooperative teleoperation. It also provides an efficient analysis tool to study the stability, transparency and synchronization of the system. Furthermore, the new modeling and control method enables us to design an Internet-based cooperative telerobotic system that is reliable, safe and intelligent. This new method has been experimentally implemented in a three site test bed consisting of robotic laboratories in the USA, Hong Kong and Japan. The experimental results have verified the theoretical development and further demonstrated the advantages of the new modeling and control method.

关键词： Internet Collaboration Robots Delay effects robotics and automation USA Councils Upper bound Automatic control Control theory Stability analysis

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Tele-coordinated control of multi-robot systems via the Internet

Tele-coordinated control of multi-robot systems via the Inte...

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IEEE International Conference on robotics and automation (ICRA)

作者： I. Elhajj Chow Man Kit Yun Hui Liu Ning Xi A. Goradia T. Fukuda Department of Computer Science and Engineering Oakland University Rochester MI USA Department of Electrical and Computer Engineering Michigan State University East Lansing MI USA Department of Automation & Computer-Aided Engineering Chinese University of Hong Kong New Territories Hong Kong China Center for Cooperative Researchin Advanced Science & Technology University of Nagoya Nagoya Japan

The coordination of multi-robots is required in many scenarios for efficiency and task completion. Combined with teleoperation capabilities, coordinating robots provide a powerful tool. Add to this the Internet and now it is possible for multi-experts at multi-remote sites to control multi-robots in a coordinated fashion. For this to be feasible there are several hurdles to be crossed including Internet type delays, uncertainties in the environment and uncertainties in the object manipulated. In addition, there is a need to measure and control the quality of tele-coordination. This paper proposes a measure for the quality of tele-coordination, referred to as the coordination index, and details the design procedure that ensures a system performs at a required index. The theory developed was tested by bilaterally tele-coordinating two mobile manipulators via the Internet. The experimental results confirmed the theory presented.

关键词： Control systems Multirobot systems Internet Robot kinematics Centralized control robotics and automation Manipulators Delay effects Automatic control Computer science

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The 5th International Conference on Biomedical Engineering and Biotechnology (ICBEB 2016) Abstracts

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BMC MEDICAL IMAGING 2016年第SUPPL 1期16卷 65-65页

作者： [Anonymous] Department of MRI Shandong Medical Imaging Research Institute Affiliated to Shandong University Jinan Shandong 250021 People’s Republic of China Department of Interventional Radiology Shandong Provincial Hospital Affiliated to Shandong University Jinan Shandong 250021 People’s Republic of China College of Information Science and Technology Engr. Research Center of Digitized Textile & Fashion Tech. for Ministry of Education Donghua University Shanghai 201620 China Intelligent multimedia information processing Lab College of Software Northeastern University Shenyang Liaoning Province 110004 China Institute of Biomedical and Health Engineering Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen 518055 China School of Computer Science and Technology Nanjing Normal University Nanjing China Department of Electrical Engineering The City College of New York CUNY New York USA Jiangsu Key Laboratory of 3D Printing Equipment and Manufacturing Nanjing China School of Electronic Science and Engineering Nanjing University Nanjing Jiangsu 210046 China College of Engineering Nanyang Technological University Singapore 639798 Singapore School of Electronic Information Shanghai Dianji University Shanghai China School of Natural Sciences and Mathematics Shepherd University Shepherdstown WV 25443 USA Davis College of Agriculture Natural Resources and Design West Virginia University Morgantown WV 26505 USA State Key Laboratory of Millimeter Waves Southeast University Nanjing 210096 China Center of Medical Physics and Technology Hefei Institutes of Physical Science Chinese Academy of Sciences Hefei China College of Agricultural and Life Sciences University of Florida Gainesville FL 32611 USA Courant Institute of Mathematical Sciences New York University New York NY 10012 USA Translational Imaging Division & MRI Unit Columbia University and New York State Psychiatric Institute New York NY 10032 USA Guangxi Key Laboratory of Manufacturing System & Adv

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Machine discovery of partial differential equations from spatiotemporal data

arXiv

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arXiv 2019年

作者： Yuan, Ye Li, Junlin Li, Liang Jiang, Frank Tang, Xiuchuan Zhang, Fumin Liu, Sheng Goncalves, Jorge Voss, Henning U. Li, Xiuting Kurths, Jürgen Ding, Han School of Artificial Intelligence and Automation State Key Laboratory of Digital Manufacturing Equipments and Technology Huazhong University of Science and Technology Wuhan430074 China School of Artificial Intelligence and Automation Key Laboratory of Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan430074 China School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm11428 Sweden School of Mechanical Science and Engineering Huazhong University of Science and Technology Wuhan430074 China School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta30332 United States School of Power and Mechanical Engineering Wuhan University Wuhan430074 China Department of Engineering University of Cambridge CambridgeCB2 1PZ United Kingdom Luxembourg Centre for Systems Biomedicine University of Luxembourg BelvauxL-4367 Luxembourg Citigroup Biomedical Imaging Center Weill Cornell Medical College New York10021 United States Research Domain IV - Transdisciplinary Concepts & Methods Potsdam Institute for Climate Impact Research Potsdam14473 Germany School of Mechanical Science and Engineering State Key Laboratory of Digital Manufacturing Equipments and Technology Huazhong University of Science and Technology Wuhan430074 China

The study presents a general framework for discovering underlying Partial Differential Equations (PDEs) using measured spatiotemporal data. The method, called Sparse Spatiotemporal System Discovery (S3d), decides which physical terms are necessary and which can be removed (because they are physically negligible in the sense that they do not affect the dynamics too much) from a pool of candidate functions. The method is built on the recent development of Sparse Bayesian Learning;which enforces the sparsity in the to-be-identified PDEs, and therefore can balance the model complexity and fitting error with theoretical guarantees. Without leveraging prior knowledge or assumptions in the discovery process, we use an automated approach to discover ten types of PDEs, including the famous Navier-Stokes and sine-Gordon equations, from simulation data alone. Moreover, we demonstrate our data-driven discovery process with the Complex Ginzburg-Landau Equation (CGLE) using data measured from a traveling-wave convection experiment. Our machine discovery approach presents solutions that has the potential to inspire, support and assist physicists for the establishment of physical laws from measured spatiotemporal data, especially in notorious fields that are often too complex to allow a straightforward establishment of physical law, such as biophysics, fluid dynamics, neuroscience or nonlinear optics. Copyright © 2019, The Authors. All rights reserved.

关键词： Nonlinear optics

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