Handling Uncertainty And Networked Structure In Robot Control

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Handling Uncertainty and Networked Structure in Robot Control

Author : Lucian Bușoniu,Levente Tamás
Publisher : Springer
Page : 388 pages
File Size : 50,5 Mb
Release : 2016-02-06
Category : Technology & Engineering
ISBN : 9783319263274

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Handling Uncertainty and Networked Structure in Robot Control by Lucian Bușoniu,Levente Tamás Pdf

This book focuses on two challenges posed in robot control by the increasing adoption of robots in the everyday human environment: uncertainty and networked communication. Part I of the book describes learning control to address environmental uncertainty. Part II discusses state estimation, active sensing, and complex scenario perception to tackle sensing uncertainty. Part III completes the book with control of networked robots and multi-robot teams. Each chapter features in-depth technical coverage and case studies highlighting the applicability of the techniques, with real robots or in simulation. Platforms include mobile ground, aerial, and underwater robots, as well as humanoid robots and robot arms. Source code and experimental data are available at http://extras.springer.com. The text gathers contributions from academic and industry experts, and offers a valuable resource for researchers or graduate students in robot control and perception. It also benefits researchers in related areas, such as computer vision, nonlinear and learning control, and multi-agent systems.

Diagnostic Systems For Energy Equipments

Author : Vitalii P. Babak,Serhii V. Babak,Mykhailo V. Myslovych,Artur O. Zaporozhets,Valeriy M. Zvaritch
Publisher : Springer Nature
Page : 143 pages
File Size : 45,8 Mb
Release : 2020-03-19
Category : Technology & Engineering
ISBN : 9783030444433

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Diagnostic Systems For Energy Equipments by Vitalii P. Babak,Serhii V. Babak,Mykhailo V. Myslovych,Artur O. Zaporozhets,Valeriy M. Zvaritch Pdf

This book examines key issues in ensuring the operational reliability of energy facilities. In this regard, it analyzes mathematical models of diagnostic signals that arise during the operation of power equipment; reviews the main findings of research into their characteristics; presents diagnostics methods for selected types of electric power and heat engineering equipment; and covers a range of diagnostic and monitoring systems and devices for power equipment. Given its scope, the book offers a valuable resource for researchers, engineers and specialists, as well as instructors and graduate students at institutions of higher learning.

Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation

Author : Cengiz Kahraman,Selcuk Cebi,Sezi Cevik Onar,Basar Oztaysi,A. Cagri Tolga,Irem Ucal Sari
Publisher : Springer Nature
Page : 954 pages
File Size : 47,8 Mb
Release : 2021-08-23
Category : Technology & Engineering
ISBN : 9783030856267

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Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation by Cengiz Kahraman,Selcuk Cebi,Sezi Cevik Onar,Basar Oztaysi,A. Cagri Tolga,Irem Ucal Sari Pdf

This book presents recent research in intelligent and fuzzy techniques. Emerging conditions such as pandemic, wars, natural disasters and various high technologies force people for significant changes in business and social life. The adoption of digital technologies to transform services or businesses, through replacing non-digital or manual processes with digital processes or replacing older digital technology with newer digital technologies through intelligent systems is the main scope of this book. It focuses on revealing the reflection of digital transformation in our business and social life under emerging conditions through intelligent and fuzzy systems. The latest intelligent and fuzzy methods and techniques on digital transformation are introduced by theory and applications. The intended readers are intelligent and fuzzy systems researchers, lecturers, M.Sc. and Ph.D. students studying digital transformation. Usage of ordinary fuzzy sets and their extensions, heuristics and metaheuristics from optimization to machine learning, from quality management to risk management makes the book an excellent source for researchers.

Multi-Level Bayesian Models for Environment Perception

Author : Csaba Benedek
Publisher : Springer Nature
Page : 208 pages
File Size : 47,8 Mb
Release : 2022-04-18
Category : Mathematics
ISBN : 9783030836542

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Multi-Level Bayesian Models for Environment Perception by Csaba Benedek Pdf

This book deals with selected problems of machine perception, using various 2D and 3D imaging sensors. It proposes several new original methods, and also provides a detailed state-of-the-art overview of existing techniques for automated, multi-level interpretation of the observed static or dynamic environment. To ensure a sound theoretical basis of the new models, the surveys and algorithmic developments are performed in well-established Bayesian frameworks. Low level scene understanding functions are formulated as various image segmentation problems, where the advantages of probabilistic inference techniques such as Markov Random Fields (MRF) or Mixed Markov Models are considered. For the object level scene analysis, the book mainly relies on the literature of Marked Point Process (MPP) approaches, which consider strong geometric and prior interaction constraints in object population modeling. In particular, key developments are introduced in the spatial hierarchical decomposition of the observed scenarios, and in the temporal extension of complex MRF and MPP models. Apart from utilizing conventional optical sensors, case studies are provided on passive radar (ISAR) and Lidar-based Bayesian environment perception tasks. It is shown, via several experiments, that the proposed contributions embedded into a strict mathematical toolkit can significantly improve the results in real world 2D/3D test images and videos, for applications in video surveillance, smart city monitoring, autonomous driving, remote sensing, and optical industrial inspection.

Multi-disciplinary Trends in Artificial Intelligence

Author : Olarik Surinta,Kevin Kam Fung Yuen
Publisher : Springer Nature
Page : 238 pages
File Size : 55,8 Mb
Release : 2022-11-10
Category : Computers
ISBN : 9783031209925

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Multi-disciplinary Trends in Artificial Intelligence by Olarik Surinta,Kevin Kam Fung Yuen Pdf

This book constitutes the refereed proceedings of the 15th International Conference on Multi-disciplinary Trends in Artificial Intelligence, MIWAI 2022, held online on November 17–19, 2022. The 14 full papers and 5 short papers presented were carefully reviewed and selected from 42 submissions.

Springer Handbook of Computational Intelligence

Author : Janusz Kacprzyk,Witold Pedrycz
Publisher : Springer
Page : 1634 pages
File Size : 43,7 Mb
Release : 2015-05-28
Category : Technology & Engineering
ISBN : 9783662435052

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Springer Handbook of Computational Intelligence by Janusz Kacprzyk,Witold Pedrycz Pdf

The Springer Handbook for Computational Intelligence is the first book covering the basics, the state-of-the-art and important applications of the dynamic and rapidly expanding discipline of computational intelligence. This comprehensive handbook makes readers familiar with a broad spectrum of approaches to solve various problems in science and technology. Possible approaches include, for example, those being inspired by biology, living organisms and animate systems. Content is organized in seven parts: foundations; fuzzy logic; rough sets; evolutionary computation; neural networks; swarm intelligence and hybrid computational intelligence systems. Each Part is supervised by its own Part Editor(s) so that high-quality content as well as completeness are assured.

Visual Servoing in Robotics

Author : Jorge Pomares
Publisher : MDPI
Page : 166 pages
File Size : 41,8 Mb
Release : 2021-08-31
Category : Technology & Engineering
ISBN : 9783036503448

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Visual Servoing in Robotics by Jorge Pomares Pdf

Visual servoing is a well-known approach to guide robots using visual information. Image processing, robotics, and control theory are combined in order to control the motion of a robot depending on the visual information extracted from the images captured by one or several cameras. With respect to vision issues, a number of issues are currently being addressed by ongoing research, such as the use of different types of image features (or different types of cameras such as RGBD cameras), image processing at high velocity, and convergence properties. As shown in this book, the use of new control schemes allows the system to behave more robustly, efficiently, or compliantly, with fewer delays. Related issues such as optimal and robust approaches, direct control, path tracking, or sensor fusion are also addressed. Additionally, we can currently find visual servoing systems being applied in a number of different domains. This book considers various aspects of visual servoing systems, such as the design of new strategies for their application to parallel robots, mobile manipulators, teleoperation, and the application of this type of control system in new areas.

Robotics, Computer Vision and Intelligent Systems

Author : Péter Galambos,Erdal Kayacan,Kurosh Madani
Publisher : Springer Nature
Page : 241 pages
File Size : 45,6 Mb
Release : 2022-11-09
Category : Computers
ISBN : 9783031196508

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Robotics, Computer Vision and Intelligent Systems by Péter Galambos,Erdal Kayacan,Kurosh Madani Pdf

This volume constitutes the papers of two workshops which were held in conjunctionwith the First International Conference on Robotics, Computer Vision and Intelligent Systems,ROBOVIS 2020, Virtual Event, in November 4-6, 2020 and Second International Conference on Robotics, Computer Vision and Intelligent Systems,ROBOVIS 2021, Virtual Event, in October 25-27, 2021. The 11 revised full papers presented in this book were carefully reviewed and selectedfrom 53 submissions.

Computer Vision – ACCV 2018 Workshops

Author : Gustavo Carneiro,Shaodi You
Publisher : Springer
Page : 541 pages
File Size : 48,8 Mb
Release : 2019-06-18
Category : Computers
ISBN : 9783030210748

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Computer Vision – ACCV 2018 Workshops by Gustavo Carneiro,Shaodi You Pdf

This LNCS workshop proceedings, ACCV 2018, contains carefully reviewed and selected papers from 11 workshops, each having different types or programs: Scene Understanding and Modelling (SUMO) Challenge, Learning and Inference Methods for High Performance Imaging (LIMHPI), Attention/Intention Understanding (AIU), Museum Exhibit Identification Challenge (Open MIC) for Domain Adaptation and Few-Shot Learning, RGB-D - Sensing and Understanding via Combined Colour and Depth, Dense 3D Reconstruction for Dynamic Scenes, AI Aesthetics in Art and Media (AIAM), Robust Reading (IWRR), Artificial Intelligence for Retinal Image Analysis (AIRIA), Combining Vision and Language, Advanced Machine Vision for Real-life and Industrially Relevant Applications (AMV).

Transactions on Intelligent Welding Manufacturing

Author : Shanben Chen,Yuming Zhang,Zhili Feng
Publisher : Springer
Page : 181 pages
File Size : 53,8 Mb
Release : 2018-08-25
Category : Technology & Engineering
ISBN : 9789811087400

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Transactions on Intelligent Welding Manufacturing by Shanben Chen,Yuming Zhang,Zhili Feng Pdf

The primary aim of this volume is to provide researchers and engineers from both academia and industry with up-to-date coverage of recent advances in the fields of robotic welding, intelligent systems and automation. It gathers selected papers from the 2018 International Conference on Robotic Welding, Intelligence and Automation (RWIA 2018), held Oct 20-22, 2018 in Guangzhou, China. The contributions reveal how intelligentized welding manufacturing (IWM) is becoming an inescapable trend, just as intelligentized robotic welding is becoming a key technology. The volume is divided into four main parts: Intelligent Techniques for Robotic Welding, Sensing in Arc Welding Processing, Modeling and Intelligent Control of Welding Processing, and Intelligent Control and its Applications in Engineering.

Fractional Order Control and Synchronization of Chaotic Systems

Author : Ahmad Taher Azar,Sundarapandian Vaidyanathan,Adel Ouannas
Publisher : Springer
Page : 877 pages
File Size : 41,6 Mb
Release : 2017-02-27
Category : Technology & Engineering
ISBN : 9783319502496

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Fractional Order Control and Synchronization of Chaotic Systems by Ahmad Taher Azar,Sundarapandian Vaidyanathan,Adel Ouannas Pdf

The book reports on the latest advances in and applications of fractional order control and synchronization of chaotic systems, explaining the concepts involved in a clear, matter-of-fact style. It consists of 30 original contributions written by eminent scientists and active researchers in the field that address theories, methods and applications in a number of research areas related to fractional order control and synchronization of chaotic systems, such as: fractional chaotic systems, hyperchaotic systems, complex systems, fractional order discrete chaotic systems, chaos control, chaos synchronization, jerk circuits, fractional chaotic systems with hidden attractors, neural network, fuzzy logic controllers, behavioral modeling, robust and adaptive control, sliding mode control, different types of synchronization, circuit realization of chaotic systems, etc. In addition to providing readers extensive information on chaos fundamentals, fractional calculus, fractional differential equations, fractional control and stability, the book also discusses key applications of fractional order chaotic systems, as well as multidisciplinary solutions developed via control modeling. As such, it offers the perfect reference guide for graduate students, researchers and practitioners in the areas of fractional order control systems and fractional order chaotic systems.

Advances in Neural Network Research and Applications

Author : Zhigang Zeng,Jun Wang
Publisher : Springer Science & Business Media
Page : 921 pages
File Size : 53,8 Mb
Release : 2010-05-10
Category : Technology & Engineering
ISBN : 9783642129902

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Advances in Neural Network Research and Applications by Zhigang Zeng,Jun Wang Pdf

This book is a part of the Proceedings of the Seventh International Symposium on Neural Networks (ISNN 2010), held on June 6-9, 2010 in Shanghai, China. Over the past few years, ISNN has matured into a well-established premier international symposium on neural networks and related fields, with a successful sequence of ISNN series in Dalian (2004), Chongqing (2005), Chengdu (2006), Nanjing (2007), Beijing (2008), and Wuhan (2009). Following the tradition of ISNN series, ISNN 2010 provided a high-level international forum for scientists, engineers, and educators to present the state-of-the-art research in neural networks and related fields, and also discuss the major opportunities and challenges of future neural network research. Over the past decades, the neural network community has witnessed significant breakthroughs and developments from all aspects of neural network research, including theoretical foundations, architectures, and network organizations, modeling and simulation, empirical studies, as well as a wide range of applications across different domains. The recent developments of science and technology, including neuroscience, computer science, cognitive science, nano-technologies and engineering design, among others, has provided significant new understandings and technological solutions to move the neural network research toward the development of complex, large scale, and networked brain-like intelligent systems. This long-term goals can only be achieved with the continuous efforts from the community to seriously investigate various issues on neural networks and related topics.

Advances in Intelligent Robotics and Collaborative Automation

Author : Richard Duro,Yuriy Kondratenko
Publisher : CRC Press
Page : 363 pages
File Size : 53,6 Mb
Release : 2022-09-01
Category : Technology & Engineering
ISBN : 9781000795332

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Advances in Intelligent Robotics and Collaborative Automation by Richard Duro,Yuriy Kondratenko Pdf

This book provides an overview of a series of advanced research lines in robotics as well as of design and development methodologies for intelligent robots and their intelligent components. It represents a selection of extended versions of the best papers presented at the Seventh IEEE International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications IDAACS 2013 that were related to these topics. Its contents integrate state of the art computational intelligence based techniques for automatic robot control to novel distributed sensing and data integration methodologies that can be applied to intelligent robotics and automation systems. The objective of the text was to provide an overview of some of the problems in the field of robotic systems and intelligent automation and the approaches and techniques that relevant research groups within this area are employing to try to solve them.The contributions of the different authors have been grouped into four main sections:• Robots• Control and Intelligence• Sensing• Collaborative automationThe chapters have been structured to provide an easy to follow introduction to the topics that are addressed, including the most relevant references, so that anyone interested in this field can get started in the area.

Contemporary Issues in Systems Science and Engineering

Author : MengChu Zhou,Han-Xiong Li,Margot Weijnen
Publisher : John Wiley & Sons
Page : 888 pages
File Size : 42,7 Mb
Release : 2015-03-30
Category : Technology & Engineering
ISBN : 9781119036920

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Contemporary Issues in Systems Science and Engineering by MengChu Zhou,Han-Xiong Li,Margot Weijnen Pdf

Various systems science and engineering disciplines are covered and challenging new research issues in these disciplines are revealed. They will be extremely valuable for the readers to search for some new research directions and problems. Chapters are contributed by world-renowned systems engineers Chapters include discussions and conclusions Readers can grasp each event holistically without having professional expertise in the field

Robust Adaptive Control for Fractional-Order Systems with Disturbance and Saturation

Author : Mou Chen,Shuyi Shao,Peng Shi
Publisher : John Wiley & Sons
Page : 256 pages
File Size : 43,9 Mb
Release : 2017-10-20
Category : Technology & Engineering
ISBN : 9781119393337

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Robust Adaptive Control for Fractional-Order Systems with Disturbance and Saturation by Mou Chen,Shuyi Shao,Peng Shi Pdf

A treatise on investigating tracking control and synchronization control of fractional-order nonlinear systems with system uncertainties, external disturbance, and input saturation Robust Adaptive Control for Fractional-Order Systems, with Disturbance and Saturation provides the reader with a good understanding on how to achieve tracking control and synchronization control of fractional-order nonlinear systems with system uncertainties, external disturbance, and input saturation. Although some texts have touched upon control of fractional-order systems, the issues of input saturation and disturbances have rarely been considered together. This book offers chapter coverage of fractional calculus and fractional-order systems; fractional-order PID controller and fractional-order disturbance observer; design of fractional-order controllers for nonlinear chaotic systems and some applications; sliding mode control for fractional-order nonlinear systems based on disturbance observer; disturbance observer based neural control for an uncertain fractional-order rotational mechanical system; adaptive neural tracking control for uncertain fractional-order chaotic systems subject to input saturation and disturbance; stabilization control of continuous-time fractional positive systems based on disturbance observer; sliding mode synchronization control for fractional-order chaotic systems with disturbance; and more. Based on the approximation ability of the neural network (NN), the adaptive neural control schemes are reported for uncertain fractional-order nonlinear systems Covers the disturbance estimation techniques that have been developed to alleviate the restriction faced by traditional feedforward control and reject the effect of external disturbances for uncertain fractional-order nonlinear systems By combining the NN with the disturbance observer, the disturbance observer based adaptive neural control schemes have been studied for uncertain fractional-order nonlinear systems with unknown disturbances Considers, together, the issue of input saturation and the disturbance for the control of fractional-order nonlinear systems in the present of system uncertainty, external disturbance, and input saturation Robust Adaptive Control for Fractional-Order Systems, with Disturbance and Saturation can be used as a reference for the academic research on fractional-order nonlinear systems or used in Ph.D. study of control theory and engineering.