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Notice of Retraction: Adaptive Decentralized Tracking control for Nonlinear Large-Scale Systems

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 2021年第5期29卷 789-789页

作者： Karthik Chandran Weidong Zhang Rajalakshmi Murugesan S. Prasanna A. Baseera Sanjeevi Pandiyan Department of Automation Shanghai Jiao Tong University Shanghai China Department of Mechatronics Jyothi Engineering College Thrissur India Department of EEE Ultra College of Engineering and Technology India School of Information Technology and Engineering VIT Vellore India School of Computing Science and Engineering VIT Bhopal University India Key Laboratory of Advanced Process Control for Light Industry Ministry of Education Jiangnan University Wuxi 214122 China

This article has been retracted at the request of the first and corresponding author, Dr. Karthik Chandran. The author has alerted the Editor-in-Chief of IJUFKS the reasons for the retraction: The proposed system was modelled with the incorrect data set. The system response has become incorrect because of this incorrect data set. Two percent of the information (mathematical assumptions) was taken from one paper without proper citation of the source.

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SOME FUNDAMENTAL PROPERTIES ON THE SAMPLING FREE NABLA LAPLACE TRANSFORM

arXiv

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arXiv 2019年

作者： Chen, YangQuan Wei, Yiheng Chen, Yuquan Wang, Yong Lab of Mechatronics Embedded Systems and Automation School of Engineering University of California Merced 5200 North Lake Road MercedCA95343 United States Lab of Vibration Control and Vehicle Control Department of Automation University of Science and Technology of China Anhui Hefei230026 China

Discrete fractional order systems have attracted more and more attention in recent years. Nabla Laplace transform is an important tool to deal with the problem of nabla discrete fractional order systems, but there is still much room for its development. In this paper, 14 lemmas are listed to conclude the existing properties and 14 theorems are developed to describe the innovative features. On one hand, these properties make the N-transform more effective and efficient. On the other hand, they enrich the discrete fractional order system theory. Copyright © 2019, The Authors. All rights reserved.

关键词： Laplace transforms

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Prospects for the development of functional expansion of individual low-cost prosthetic limbs for people with disabilities with intelligent sensors

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IOP Conference Series: Materials Science and engineering 2021年第1期1019卷

作者： D Gryaznov V Zhmud V Avrmachuk D Malakhov J Nosek L Dimitrov Department of Automation Novosibirsk State Technical University Novosibirsk Russia Department of Complex Information Security of Computer Systems Tomsk State University of Control Systems and Radioelectronics Tomsk Russia Department of Mechatronics and Computer Engineering (MTI) Faculty of Mechatronics Informatics and Interdisciplinary Studies Technical University of Liberec Liberec Czech Republic Vice rector of Technical University of Sofia Sofia Bulgaria

Despite the development of medicine, as well as robotics aimed at helping people with disabilities, most disabled people with missing limbs cannot hope for a full life with the help of bionic prostheses, since these products are made strictly individually, and their control requires expensive surgeries to implant sensors. In addition, such prostheses themselves are very expensive. An alternative solution is to reduce the cost of such prostheses as much as possible and abandon the implantable sensors of signals of the human nervous system. The paper proposes a method for solving such a problem using a variety of sensors that remove signals from the skin surface without invasive surgery.

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Prospects for the use of wireless reading of prosthetic control signals and methods for generating commands

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IOP Conference Series: Materials Science and engineering 2021年第1期1019卷

作者： D Malakhov V Zhmud V Avrmachuk D Gryaznov J Nosek L Dimitrov Department of Automation Novosibirsk State Technical University Novosibirsk Russia Department of Complex Information Security of Computer Systems Tomsk State University of Control Systems and Radioelectronics Tomsk Russia Department of Mechatronics and Computer Engineering (MTI) Faculty of Mechatronics Informatics and Interdisciplinary Studies Technical University of Liberec Liberec Czech Republic Vice rector Technical University of Sofia Sofia Bulgaria

The paper provides a rationale for the use of low-power wireless communication to create non-invasive bionic limb prostheses. The need for such a connection is dictated, on the one hand, by the expediency of using sensors located in various parts of the body, often very remote from each other, on the other hand, by the desire to free the disabled person's body from the wires that would envelop it like a spider web. For each of these positions, arguments are given.

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Decision-Making in Driver-automation Shared control: A Review and Perspectives

arXiv

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arXiv 2020年

作者： Wang, Wenshuo Na, Xiaoxiang Cao, Dongpu Gong, Jianwei Xi, Junqiang Xing, Yang Wang, Fei-Yue CA94720 United States Department of Engineering University of Cambridge Trumpington Street CambridgeCB2 1PZ United Kingdom Mechanical and Mechatronics Engineering University of Waterloo 200 University Ave. West Waterloo ONN2L3G1 Canada Department of Mechanical Engineering Beijing Institute of Technology Beijing100081 China School of Mechanical and Aerospace Engineering Nanyang Technological University Singapore639798 Singapore State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China Research Center for Military Computational Experiments and Parallel Systems Technology National University of Defense Technology Changsha410073 China

Shared control schemes allow a human driver to work with an automated driving agent in driver-vehicle systems while retaining the driver’s abilities to control. The human driver, as an essential agent in the driver-vehicle shared control systems, should be precisely modeled regarding their cognitive processes, control strategies, and decision-making processes. The interactive strategy design between drivers and automated driving agents brings an excellent challenge for human-centric driver assistance systems due to the inherent characteristics of humans. Many open-ended questions arise, such as what proper role of human drivers should act in a shared control scheme? How to make an intelligent decision capable of balancing the benefits of agents in shared control systems? Due to the advent of these attentions and questions, it is desirable to present a survey on the decision-making between human drivers and highly automated vehicles, to understand their architectures, human driver modeling, and interaction strategies under the driver-vehicle shared schemes. Finally, we give a further discussion on the key future challenges and opportunities. They are likely to shape new potential research directions. Copyright © 2020, The Authors. All rights reserved.

关键词： Decision making

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Coordinated Stochastic Scheduling for Improving Wind Power Adsorption in Electric Vehicles-Wind Integrated Power Systems by Multi-objective Optimization Approach

Coordinated Stochastic Scheduling for Improving Wind Power A...

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Conference Record of the IEEE Industry Applications Society Annual Meeting (IAS)

作者： Yuanzheng Li Zhixian Ni Tianyang Zhao Minghui Yu Yun Liu Lei Wu Key Laboratory of Control of Power Transmission and Conversion (SJTU) Ministry of Education Shanghai School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan China School of Electrical and Electronic Engineering Nanyang Technological University Singapore College of Mechatronics and Control Engineering Shenzhen University Shenzhen China Stevens Institute of Technology Hoboken New Jersey USA

Electric vehicles (EVs) and renewable energy (RE), such as wind power, have been widely utilized to meet the sustainable development of our society. To this end, researches on operation performance of the EV-wind integrated power system are important. This paper proposes a coordinated stochastic scheduling model based on a multi-objective optimization approach, which aims to improve wind power adsorption while considering energy conservation and emission reduction of thermal generators. Besides, to conduct comprehensive investigation among these multiple objectives, we formulate the coordinated stochastic scheduling model as a multi-objective optimization problem. Then, a multi-objective optimization algorithm based on a parameter adaptive differential evolution is proposed to solve this problem. Simulation results based on a modified Midwestern US power system verify that the proposed scheduling model could reveal the relationship among multiple objectives, and the integration of EVs can improve wind power adsorption and cost effectiveness of the power system.

关键词： Wind power generation Power systems Scheduling Stochastic processes Wind speed Optimal scheduling

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Performance comparison of optimization techniques in EHS system using sliding mode controller

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IOP Conference Series: Materials Science and engineering 2020年第1期834卷

作者： M S Chai R Ghazali S H Chong C C Soon J Too Y M Sam Centre for Robotics and Industrial Automation Faculty of Electrical Engineering Universiti Teknikal Malaysia Melaka Hang Tuah Jaya 76100 Durian Tunggal Melaka Malaysia. Control & Mechatronics Engineering Faculty of Electrical Engineering Universiti Teknologi Malaysia 81310 Skudai Johor Bahru Malaysia

Electro-Hydraulic Servo (EHS) system is a well-known nonlinear system in various types of industries due to its outstanding characteristics over other actuators. Despite its wide applications in industries, this system also suffering from nonlinearities and parameter uncertainties. Sliding Mode controller (SMC) has been proven by many researchers to be effective in positioning control of the nonlinear system. However, SMC controller parameters must be tuned in appropriate ways to control the EHS system. In this research, an SMC strategy which combines with an enhanced PSO called Multi-Objective Particle Swarm Optimization (MOPSO) is proposed in positioning control of the EHS system. The conventional PSO is design as well for comparison purpose. The output performance is analysed and verified using different performance indexes such as rise time, settling time, overshoot percentage, and root mean square error. The results show that the MOPSO is better in tuning the controller parameters.

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Probabilistic Teleportation of an Arbitrary Two-Qubit State via Positive Operator-Valued Measurement with Multi Parties

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Communications in Theoretical Physics 2017年第4期67卷 377-382页

作者：石磊魏家华李云霞马丽华薛阳罗均文 Information and Navigation College Air Force Engineering University Department of Automatic Control College of Mechatronics and AutomationNational University of Defense Technology

We propose a novel scheme to probabilistically transmit an arbitrary unknown two-qubit quantum state via Positive Operator-Valued Measurement with the help of two partially entangled states. In this scheme, the teleportation with two senders and two receives can be realized when the information of non-maximally entangled states is only available for the senders. Furthermore, the concrete implementation processes of this proposal are presented, meanwhile the classical communication cost and the successful probability of our scheme are calculated.

关键词： probabilistic teleportation positive operator-valued measurement successful probability classical communication cost

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Synchronization Tracking of Heterogeneous Robotic Systems with Parametric Uncertainties and Communication Delays 5

Synchronization Tracking of Heterogeneous Robotic Systems wi...

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5th International Conference on Information, Cybernetics, and Computational Social Systems, ICCSS 2018

作者： Yao, Xiang-Yu Ge, Ming-Feng Ding, Hua-Feng Wang, Leimin Liu, Jie Han, Tao Liu, Zhi-Wei School of Mechanical Engineering and Electronic Information China University of Geosciences Wuhan430074 China School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Huazhong University of Science and Technology Wuhan430074 China School of Hydropower and Information Engineering Huazhong University of Science and Technology Wuhan430074 China College of Mechatronics and Control Engineering Hubei Normal University Huangshi435002 China School of Automation Huazhong University of Science and Technology Wuhan430074 China

ISBN: (纸本)9781538670880

This paper studies synchronization tracking problems of heterogeneous robotic systems in the presence of kinematic uncertainties, dynamic uncertainties and communication delays. To solve the above problems, this paper develops cooperative adaptive controllers based on directed topologies containing spanning trees, which relaxes the constraints on communications than the previous works with undirected or strongly connected topologies. By invoking Lyapunov stability and Input-output stability techniques, sufficient criteria for asymptotical stability of the systems are obtained. Moreover, the obtained results are expanded to formation problems in similar cases. Finally, the validity of the theoretical results and the numerical comparisons with existing work are supported by numerous simulations. © 2018 IEEE.

关键词： Topology

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Intersection Navigation Under Dynamic Constraints Using Deep Reinforcement Learning

Intersection Navigation Under Dynamic Constraints Using Deep...

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International Conference on control, engineering & Information Technology (CEIT)

作者： Ali Demir Volkan Sezer Department of Mechatronics Engineering Istanbul Technical University Istanbul Turkey Department of Control and Automation Engineering Istanbul Technical University Istanbul Turkey

ISBN: (纸本)9781538676424

In this study, we present a unified motion planner with low- level controller for continuous control of a differential drive mobile robot. Deep reinforcement agent takes 10 dimensional state vector as input and calculates each wheel's torque value as a 2 dimensional output vector. These torque values are fed into the dynamic model of the robot, and lastly steering commands are gathered. In previous studies, navigation problem solutions that uses deep - RL methods, have not been considered with agent's own dynamic constraints, but it has been done by only considering kinematic models. This is not reliable enough for real-world scenarios. In this paper, deep-RL based motion planning is performed by considering both kinematic and dynamic constraints. According to the simulations in a dynamic environment, the agent succesfully navigates through the intersection with 99.6% success rate.

关键词： Mathematical model Robot kinematics Mobile robots Dynamics Torque Vehicle dynamics

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