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A Simplified-Model Predictive controller Design for a Four-Wheel Omnidirectional Robot 1

25th International Symposium on Measurement and control in Robotics, ISMCR 2023

作者： Mocanu, Razvan Achirei, Stefan Dosoftei, Catalin Popovici, Tudor Faculty of Automation Control and Computer Engineering "Gheorghe Asachi" Technical University of Iasi Iasi700050 Romania

ISBN: (数字)9783031510854

ISBN: (纸本)9783031510847

This study introduces a model-based predictive controller to drive an omnidirectional robot to a specific location within a logistic environment. An object map is obtained from a LIDAR sensor. The proposed control structure enhances the safety, optimality, and efficiency of the trajectory of the omnidirectional mobile robot. The study employs simulation techniques of the kinematics and dynamics of the robot to assess the efficacy of a predictive control approach. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Mobile robots

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Lossless and lossy compression in 4D bio-modeling

Lossless and lossy compression in 4D bio-modeling

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1st International Conference on Information and Communication Technology and Accessibility, ICTA 2007

作者： Žagar, Martin Kovac, Mario Bosnic, Ivana Department of Control and Computer Engineering in Automation Faculty of Electrical Engineering and Computing Unska 3 HR-10000 Zagreb Croatia

ISBN: (纸本)9789973879141

Bio-modeling has important role in virtual reality in telemedicine providing base for simulations and decisions. Virtual reality is based on sequences of volumetric images whose motion is captured in time. These data sets are typically very large in size and demand a great amount of resources for storage and transmission. Therefore it is necessary to compress this data both fast and efficiently. We will propose combination of lossless and lossy compression models to obtain toset demands.

关键词： Virtual reality

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Experimental investigations of a direct adaptive neurofuzzy controller

Experimental investigations of a direct adaptive neurofuzzy ...

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2005 IEEE International Conference on control Applications, CCA

作者： Nyarko, Emmanuel K. Perić, Nedjeljko Petrović, Ivan Department of Automation and Process Control Faculty of Electrical Engineering University of Osijek 31000 Osijek Croatia Department of Control and Computer Engineering in Automation Faculty of Electrical Engineering and Computing University of Zagreb 10000 Zagreb Croatia

ISBN: (纸本)0780393538

The control of dynamical systems with inherent non-linear characteristics has motivated research in non-linear control theory. Two main approaches to dealing with uncertainties in control systems design are adaptive and robust control. In this paper, discrete direct adaptive control of unknown non-linear SISO systems is considered. The controller is implemented using a fuzzy neural network. The control concept is tested on a laboratory pilot plant and compared to a standard discrete FED Takahashi controller. © 2005 IEEE.

关键词： Adaptive control systems

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Tool for remote control of mobile robots with visualization by means of virtual reality 7

Tool for remote control of mobile robots with visualization ...

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7th International Conference on Telecommunications, ConTEL 2003

作者： Brščić, Dražen University of Zagreb Faculty of Electrical Engineering and Computing Department of Control and Computer Engineering in Automation Unska 3 ZagrebHR-10000 Croatia

ISBN: (纸本)9531840520

This paper presents the current work on the development of a tool for remote control of mobile robots. The tool consists of a local controller on the robot side and a user interface for simulation and remote control that connects with the robot through the network. The user interface is implemented as an HTML page with a Java applet for remote control and communication and a virtual environment written in VRML for visualization. This way users have the ability to connect to a dedicated WWW server and download the user interface. This paper describes the concept of the tool design and the developed user interface. © 2003, Institute of Electrical and Electronics Engineers Inc. All rights reserved.

关键词： Visualization

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Windows XP issues for real-time temperature monitoring

Windows XP issues for real-time temperature monitoring

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IMTC'05 - Proceedings of the IEEE Instrumentation and Measurement Technology Conference

作者： Marcu, Marius Moldovan, Horatiu Zilahi, Mihai Tomescu, Victor Ionas, Mihai Department of Computer and Software Engineering Politehnica University of Timisoara Faculty of Automation Control and Computer Science 2 V. Parvan Timisoara Romania

ISBN: (纸本)0780388798

Windows operating systems (NT, 2000, XP, 2003) were not designed for real-time and time-critical applications. But, due to the market requirements, many of the monitoring and control applications are to use Windows NT based operating systems. One of the most important parameter in almost all applications is temperature. Therefore, this article addresses the problem of temperature monitoring using a non real-time operating system, like Windows. A number of three solutions for thermal sensors connecting to PC's interfaces are presented. © 2005 IEEE.

关键词： Real time systems

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PCB testing using infrared thermal signatures

PCB testing using infrared thermal signatures

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IMTC'05 - Proceedings of the IEEE Instrumentation and Measurement Technology Conference

作者： Moldovan, Horatiu Marcu, Marius Vladutiu, Mircea Department of Computer and Software Engineering Politehnica University of Timisoara Faculty of Automation Control and Computer Science Postal Address 2 V. Parvan Timisoara Romania

ISBN: (纸本)0780388798

A Printed Circuit Board (PCB) testing method using infrared thermal signatures is presented. The concept of thermal signature for PCBs is introduced. Based on this concept, the testing method is able to classify the integrated circuits (ICs) on a PCB into a number of classes (e.g. functional - fault free, non-functional - faulty and less reliable - functional circuits with high current consumption). According with thermal signature of each IC on the PCB, the PCBs can be also classified in the same number of classes. The classification system is a feed-forward neural network that learns and classifies the information achieved from the infrared image. © 2005 IEEE.

关键词： Printed circuit boards

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Tuning the position of a fuzzy cognitive map attractor using backpropagation through time

Tuning the position of a fuzzy cognitive map attractor using...

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7th International Conference on Integrated Modeling and Analysis in Applied control and automation, IMAACA 2013, Held at the International Multidisciplinary Modeling and Simulation Multiconference, I3M 2013

作者： Gregor, Michal Groumpos, Peter P. Department of Control and Information Systems Faculty of Electrical Engineering University of Žilina Slovakia Laboratory for Automation and Robotics Department of Electrical and Computer Engineering University of Patras Greece

ISBN: (纸本)9781629934884

The paper proposes a new learning method for fuzzy cognitive maps, which makes it possible to encode an attractor into the map. The method is based on the principle of backpropagation through time known from the theory of artificial neural networks. Simulation results are presented to show how well the method performs. It is shown that the results are superior to those achieved using Hebbian learning approaches such as nonlinear Hebbian learning. Some lines for possible future research and development are given.

关键词： Fuzzy Cognitive Maps

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Two-Stage Robust Optimization Under Decision Dependent Uncertainty

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IEEE/CAA Journal of Automatica Sinica 2022年第7期9卷 1295-1306页

作者： Yunfan Zhang Feng Liu Yifan Su Yue Chen Zhaojian Wang João P.S.Catalão State Key Laboratory of Power System and Generation Equipment the Department of Electrical EngineeringTsinghua UniversityBeijing 100084China Department of Mechanical and Automation Engineering the Chinese University of Hong KongHong Kong SARChina Ministry of Education Key Laboratory of System Control and Information Processing the Department of AutomationShanghai Jiao Tong Universityand also with Shanghai Engineering Research Center of Intelligent Control and ManagementShanghai 200240China Faculty of Engineering of the University of Porto and Institute for Systems and Computer Engineering Technology and Science(INESC TEC)Porto 4200-465Portugal IEEE

In the conventional robust optimization(RO)context,the uncertainty is regarded as residing in a predetermined and fixed uncertainty *** many applications,however,uncertainties are affected by decisions,making the current RO framework *** paper investigates a class of two-stage RO problems that involve decision-dependent *** introduce a class of polyhedral uncertainty sets whose right-hand-side vector has a dependency on the here-and-now decisions and seek to derive the exact optimal wait-and-see decisions for the second-stage problem.A novel iterative algorithm based on the Benders dual decomposition is proposed where advanced optimality cuts and feasibility cuts are designed to incorporate the uncertainty-decision *** computational tractability,robust feasibility and optimality,and convergence performance of the proposed algorithm are guaranteed with theoretical *** motivating application examples that feature the decision-dependent uncertainties are ***,the proposed solution methodology is verified by conducting case studies on the pre-disaster highway investment problem.

关键词： Benders decomposition decision-dependent uncertainty endogenous uncertainty robust optimization(RO)

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PID2018 Benchmark Challenge: Model-based Feedforward Compensator with A Conditional Integrator

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IFAC-PapersOnLine 2018年第4期51卷 888-893页

作者： Yuan, Jie Ates, Abdullah Dehghan, Sina Zhao, Yang Fei, Shumin Chen, YangQuan School of Automation Southeast University Nanjing210096 China Engineering Faculty Computer Engineering Department Inonu University Malatya44280 Turkey Mechatronics Embedded Systems and Automation Lab University of California MercedCA95340 United States School of Science and Engineering Shandong University Jinan250061 China Key Laboratory of Measurement and Control of CSE Ministry of Education School of Automation Southeast University Nanjing210096 China

Since proportional-integral-derivative (PID) controllers absolutely dominate the control engineering, numbers of different control structures and theories have been developed to enhance the efficiency of PID controllers. Thus, it is essential and inspiring to operate different PID control strategies to the PID2018 Benchmark Challenge. In this paper, a novel control strategy is designed for this refrigeration system, where a feedforward compensator and a conditional integrator are utilized to compensate the disturbances and remove the steady-state error in the benchmark problem, respectively. The simulation results given in the benchmark problem show the straightforward effectiveness of the proposed control structure compared with the existing control methods. © 2018

关键词： controllers Benchmarking Disturbance rejection Electric control equipment Proportional control systems Refrigeration Three term control systems Two term control systems Conditional integrators Feed forward compensation Model based method PID controllers Refrigeration system

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GROUP CONSENSUS FOR MULTIPLE NETWORKED EULER-LAGRANGE SYSTEMS WITH PARAMETRIC UNCERTAINTIES

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Journal of Systems Science & Complexity 2014年第4期27卷 632-649页

作者： HU Hongxiang ZHANG Zhe YU Li YU Wenwu XIE Guangming Department of Mathematics Hangzhou Dianzi University Zhejiang Provincial United Key Laboratory of Embedded Systems Department of AutomationZhejiang University of Technology Department of Mathematics Southeast University School of Electrical and Computer Engineering RMIT University Faculty of Engineering King Abdulaziz University Center for Systems and Control State Key Laboratory of Turbulence and Complex SystemsCollege of EngineeringPeking University

In this paper,a group consensus problem is investigated for multiple networked agents with parametric uncertainties where all the agents are governed by the Euler-Lagrange system with uncertain *** the group consensus problem,the agents asymptotically reach several different states rather than one consistent state.A novel group consensus protocol and a time-varying estimator of the uncertain parameters are proposed for each agent in order to solve the couple-group consensus *** is shown that the group consensus is reachable even when the system contains the uncertain ***,the multi-group consensus is discussed as an extension of the couple-group consensus,and then the group consensus with switching topology is *** results are finally provided to validate the effectiveness of the theoretical analysis.

关键词： Euler-Lagrange system group consensus multi-agent systems switching topologies.

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