Adaptive Sliding Mode Control with Neural-network-based Hybrid Models

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ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (969 download)

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Book Synopsis Adaptive Sliding Mode Control with Neural-network-based Hybrid Models by : Pei Yee Ho

Download or read book Adaptive Sliding Mode Control with Neural-network-based Hybrid Models written by Pei Yee Ho and published by . This book was released on 2002 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Adaptive Feedback Linearizing and Sliding Mode Control with Neural-network-based Hybrid Models

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Publisher :
ISBN 13 :
Total Pages : 472 pages
Book Rating : 4.:/5 (958 download)

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Book Synopsis Adaptive Feedback Linearizing and Sliding Mode Control with Neural-network-based Hybrid Models by : Pei Yee Ho

Download or read book Adaptive Feedback Linearizing and Sliding Mode Control with Neural-network-based Hybrid Models written by Pei Yee Ho and published by . This book was released on 2003 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Adaptive Sliding Mode Neural Network Control for Nonlinear Systems

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Publisher : Academic Press
ISBN 13 : 0128154322
Total Pages : 190 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Adaptive Sliding Mode Neural Network Control for Nonlinear Systems by : Yang Li

Download or read book Adaptive Sliding Mode Neural Network Control for Nonlinear Systems written by Yang Li and published by Academic Press. This book was released on 2018-11-16 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adaptive Sliding Mode Neural Network Control for Nonlinear Systems introduces nonlinear systems basic knowledge, analysis and control methods, and applications in various fields. It offers instructive examples and simulations, along with the source codes, and provides the basic architecture of control science and engineering. - Introduces nonlinear systems' basic knowledge, analysis and control methods, along with applications in various fields - Offers instructive examples and simulations, including source codes - Provides the basic architecture of control science and engineering

Sliding Mode Control

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Publisher : BoD – Books on Demand
ISBN 13 : 9533071621
Total Pages : 560 pages
Book Rating : 4.5/5 (33 download)

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Book Synopsis Sliding Mode Control by : Andrzej Bartoszewicz

Download or read book Sliding Mode Control written by Andrzej Bartoszewicz and published by BoD – Books on Demand. This book was released on 2011-04-11 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: The main objective of this monograph is to present a broad range of well worked out, recent application studies as well as theoretical contributions in the field of sliding mode control system analysis and design. The contributions presented here include new theoretical developments as well as successful applications of variable structure controllers primarily in the field of power electronics, electric drives and motion steering systems. They enrich the current state of the art, and motivate and encourage new ideas and solutions in the sliding mode control area.

Sliding Mode Control Using MATLAB

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Publisher : Academic Press
ISBN 13 : 0128026707
Total Pages : 348 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Sliding Mode Control Using MATLAB by : Jinkun Liu

Download or read book Sliding Mode Control Using MATLAB written by Jinkun Liu and published by Academic Press. This book was released on 2017-05-25 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sliding Mode Control Using MATLAB provides many sliding mode controller design examples, along with simulation examples and MATLAB® programs. Following the review of sliding mode control, the book includes sliding mode control for continuous systems, robust adaptive sliding mode control, sliding mode control for underactuated systems, backstepping, and dynamic surface sliding mode control, sliding mode control based on filter and observer, sliding mode control for discrete systems, fuzzy sliding mode control, neural network sliding mode control, and sliding mode control for robot manipulators. The contents of each chapter are independent, providing readers with information they can use for their own needs. It is suitable for the readers who work on mechanical and electronic engineering, electrical automation engineering, etc., and can also be used as a teaching reference for universities. - Provides many sliding mode controller design examples to help readers solve their research and design problems - Includes various, implementable, robust sliding mode control design solutions from engineering applications - Provides the simulation examples and MATLAB programs for each sliding mode control algorithm

Proceedings of the Mediterranean Conference on Information & Communication Technologies 2015

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Publisher : Springer
ISBN 13 : 3319302981
Total Pages : 659 pages
Book Rating : 4.3/5 (193 download)

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Book Synopsis Proceedings of the Mediterranean Conference on Information & Communication Technologies 2015 by : Ahmed El Oualkadi

Download or read book Proceedings of the Mediterranean Conference on Information & Communication Technologies 2015 written by Ahmed El Oualkadi and published by Springer. This book was released on 2016-04-15 with total page 659 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents the second part of the proceedings of the Mediterranean Conference on Information & Communication Technologies (MedICT 2015), which was held at Saidia, Morocco during 7–9 May, 2015. MedICT provides an excellent international forum to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development. The conference has also a special focus on enabling technologies for societal challenges, and seeks to address multidisciplinary challenges in Information & Communication Technologies such as health, demographic change, wellbeing, security and sustainability issues. The proceedings publish high quality papers which are closely related to the various theories, as well as emerging and practical applications of particular interest to the ICT community. This second volume provides a compact yet broad view of recent developments in Data, Systems, Services and Education, and covers recent research areas in the field including Control Systems, Software Engineering, Data Mining and Big Data, ICT for Education and Support Activities, Networking, Cloud Computing and Security, ICT Based Services and Applications, Mobile Agent Systems, Software Engineering, Data Mining and Big Data, Online Experimentation & Artificial Intelligence in Education, Networking, Cloud Computing and Security, ICT Based Education and Services ICT Challenges and Applications, Advances in ICT Modeling and Design ICT Developments.

Robot Manipulators

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Publisher : BoD – Books on Demand
ISBN 13 : 9537619060
Total Pages : 558 pages
Book Rating : 4.5/5 (376 download)

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Book Synopsis Robot Manipulators by : Marco Ceccarelli

Download or read book Robot Manipulators written by Marco Ceccarelli and published by BoD – Books on Demand. This book was released on 2008-09-01 with total page 558 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book we have grouped contributions in 28 chapters from several authors all around the world on the several aspects and challenges of research and applications of robots with the aim to show the recent advances and problems that still need to be considered for future improvements of robot success in worldwide frames. Each chapter addresses a specific area of modeling, design, and application of robots but with an eye to give an integrated view of what make a robot a unique modern system for many different uses and future potential applications. Main attention has been focused on design issues as thought challenging for improving capabilities and further possibilities of robots for new and old applications, as seen from today technologies and research programs. Thus, great attention has been addressed to control aspects that are strongly evolving also as function of the improvements in robot modeling, sensors, servo-power systems, and informatics. But even other aspects are considered as of fundamental challenge both in design and use of robots with improved performance and capabilities, like for example kinematic design, dynamics, vision integration.

New Technologies, Artificial Intelligence and Smart Data

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Publisher : Springer Nature
ISBN 13 : 3031473663
Total Pages : 216 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis New Technologies, Artificial Intelligence and Smart Data by : Mohamed Tabaa

Download or read book New Technologies, Artificial Intelligence and Smart Data written by Mohamed Tabaa and published by Springer Nature. This book was released on 2023-11-20 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume constitutes selected papers presented at the 10th International Conference on Innovation and New Trends in Information Technology, INTIS 2022, held in Casablanca, Morocco, in May 2022, and 11th International Conference on Innovation and New Trends in Information Technology, INTIS 2023, held in Tangier, Morocco, in May 2023. After the thorough peer review process, 4 papers were selected from the 27 submissions received for INTIS 2022, and 11 papers were selected from the 33 submissions received for INTIS 2023. The presented papers cover the mail topics of data-enabled systems/applications: data source layer, network layer, data layer, learning layer, and reporting layers while considering non-functional properties such as data privacy, security, and ethics.

Intelligent Control, Robotics, and Industrial Automation

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Publisher : Springer Nature
ISBN 13 : 9819946344
Total Pages : 1039 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Intelligent Control, Robotics, and Industrial Automation by : Sanjay Sharma

Download or read book Intelligent Control, Robotics, and Industrial Automation written by Sanjay Sharma and published by Springer Nature. This book was released on 2023-12-19 with total page 1039 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume comprises peer-reviewed proceedings of the International Conference on Robotics, Control, Automation, and Artificial Intelligence (RCAAI 2022). It aims to provide a broad spectrum picture of the state of art research and development in the areas of intelligent control, the Internet of Things, machine vision, cybersecurity, robotics, circuits, and sensors, among others. This volume will provide a valuable resource for those in academia and industry.

Embedded Systems and Artificial Intelligence

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Publisher : Springer Nature
ISBN 13 : 9811509476
Total Pages : 880 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Embedded Systems and Artificial Intelligence by : Vikrant Bhateja

Download or read book Embedded Systems and Artificial Intelligence written by Vikrant Bhateja and published by Springer Nature. This book was released on 2020-04-07 with total page 880 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected research papers presented at the First International Conference on Embedded Systems and Artificial Intelligence (ESAI 2019), held at Sidi Mohamed Ben Abdellah University, Fez, Morocco, on 2–3 May 2019. Highlighting the latest innovations in Computer Science, Artificial Intelligence, Information Technologies, and Embedded Systems, the respective papers will encourage and inspire researchers, industry professionals, and policymakers to put these methods into practice.

Advances and Applications in Sliding Mode Control systems

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Publisher : Springer
ISBN 13 : 3319111736
Total Pages : 592 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Advances and Applications in Sliding Mode Control systems by : Ahmad Taher Azar

Download or read book Advances and Applications in Sliding Mode Control systems written by Ahmad Taher Azar and published by Springer. This book was released on 2014-11-01 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the advances and applications in Sliding mode control (SMC) which is widely used as a powerful method to tackle uncertain nonlinear systems. The book is organized into 21 chapters which have been organised by the editors to reflect the various themes of sliding mode control. The book provides the reader with a broad range of material from first principles up to the current state of the art in the area of SMC and observation presented in a clear, matter-of-fact style. As such it is appropriate for graduate students with a basic knowledge of classical control theory and some knowledge of state-space methods and nonlinear systems. The resulting design procedures are emphasized using Matlab/Simulink software.

A Contribution to Adaptive Sliding-Mode Control with Gaussian Radial-Basis-Function Networks

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Publisher : Cuvillier Verlag
ISBN 13 : 3736918739
Total Pages : 158 pages
Book Rating : 4.7/5 (369 download)

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Book Synopsis A Contribution to Adaptive Sliding-Mode Control with Gaussian Radial-Basis-Function Networks by :

Download or read book A Contribution to Adaptive Sliding-Mode Control with Gaussian Radial-Basis-Function Networks written by and published by Cuvillier Verlag. This book was released on 2006-05-24 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt: In der vorliegenden Dissertation wurden Untersuchungen zur adaptiven Sliding- Mode-Regelung mit Netzen von Gaußschen radialen Basisfunktionen vorgestellt. Ergebnisse aus Simulationen bzw. Laborexperimenten wurden dargestellt, um die Leistungsf¨ahigkeit der vorgeschlagenen Regelungsverfahren zu veranschaulichen. Grundlagen der Sliding-Mode-Regelung wurden in Kapitel 2 zusammengefasst. Die Unsicherheit der Regelstrecke kann durch eine hochfrequente Stellgr¨oße un- terdru¨ckt werden, die genau einer Regelung mit hoher Verst¨arkung der niedrigeren Frequenz entspricht. Die Synthese der Sliding-Mode-Regelung, basierend auf der direkten Methode von Ljapunow mit asymptotischer Konvergenz, wurde dargestellt. In diesem Kapitel wurde ein ¨Uberblick zur adaptiven Sliding-Mode-Regelung gegeben. W¨ahrend die klassischen Methoden zur Parametersch¨atzung das adaptive Problem fu¨r Systeme in der Linear-in-Parameter-Form relativ gut l¨osen, wurden neue Ver- fahren der adaptiven Regelung mit neuronalen Netzen fu¨r Systeme eingefu¨hrt, die nicht diese Form aufweisen. Diese Verfahren beantworten allerdings meistens nicht die Frage der Stabilit¨at hinsichtlich der Approximationsfehler neuronaler Netze. Eine der Hauptideen dieser Arbeit ist die Integration von SMC mit direkter adaptiver Regelung, in der die Stabilit¨at durch die direkte Methode von Ljapunow sichergestellt wird. Netze mit Gaußschen radialen Basisfunktionen (GRBF-Netze) wurden als Kompensatoren der Unsicherheit eingefu¨hrt. Der Grund fu¨r die Auswahl der GRBF-Netze war, daß ihre Ausg¨ange Linearkombinationen der Ausgangsgewich- tungen sind, so dass die Stabilit¨at des Regelkreises einfacher zu erreichen ist. GRBF- Netze besitzen neben der besseren Konvergenz auch ein schnelleres Lernverhalten, verglichen mit den Multilayer-Feedforward-Netzen.

Applications of Neural Adaptive Control Technology

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Publisher : World Scientific
ISBN 13 : 9789810231514
Total Pages : 328 pages
Book Rating : 4.2/5 (315 download)

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Book Synopsis Applications of Neural Adaptive Control Technology by : Jens Kalkkuhl

Download or read book Applications of Neural Adaptive Control Technology written by Jens Kalkkuhl and published by World Scientific. This book was released on 1997 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the results of the second workshop on Neural Adaptive Control Technology, NACT II, held on September 9-10, 1996, in Berlin. The workshop was organised in connection with a three-year European-Union-funded Basic Research Project in the ESPRIT framework, called NACT, a collaboration between Daimler-Benz (Germany) and the University of Glasgow (Scotland).The NACT project, which began on 1 April 1994, is a study of the fundamental properties of neural-network-based adaptive control systems. Where possible, links with traditional adaptive control systems are exploited. A major aim is to develop a systematic engineering procedure for designing neural controllers for nonlinear dynamic systems. The techniques developed are being evaluated on concrete industrial problems from within the Daimler-Benz group of companies.The aim of the workshop was to bring together selected invited specialists in the fields of adaptive control, nonlinear systems and neural networks. The first workshop (NACT I) took place in Glasgow in May 1995 and was mainly devoted to theoretical issues of neural adaptive control. Besides monitoring further development of theory, the NACT II workshop was focused on industrial applications and software tools. This context dictated the focus of the book and guided the editors in the choice of the papers and their subsequent reshaping into substantive book chapters. Thus, with the project having progressed into its applications stage, emphasis is put on the transfer of theory of neural adaptive engineering into industrial practice. The contributors are therefore both renowned academics and practitioners from major industrial users of neurocontrol.

A Neural Network-based Model-reference Adaptive Control System

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Publisher :
ISBN 13 :
Total Pages : 188 pages
Book Rating : 4.:/5 (235 download)

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Book Synopsis A Neural Network-based Model-reference Adaptive Control System by : David Leland Ince

Download or read book A Neural Network-based Model-reference Adaptive Control System written by David Leland Ince and published by . This book was released on 1990 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Swarm Robotics

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Publisher : MDPI
ISBN 13 : 3038979228
Total Pages : 310 pages
Book Rating : 4.0/5 (389 download)

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Book Synopsis Swarm Robotics by : Giandomenico Spezzano

Download or read book Swarm Robotics written by Giandomenico Spezzano and published by MDPI. This book was released on 2019-05-13 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: Collectively working robot teams can solve a problem more efficiently than a single robot, while also providing robustness and flexibility to the group. Swarm robotics model is a key component of a cooperative algorithm that controls the behaviors and interactions of all individuals. The robots in the swarm should have some basic functions, such as sensing, communicating, and monitoring, and satisfy the following properties: Autonomy—Individuals that create the swarm robotic system are autonomous robots. They are independent and can interact with each other and the environment.Large number—They are in large number, enabling cooperation.Scalability and robustness—A new unit can be easily added to the system, so the system can be easily scaled. A greater number of units improves the performance of the system. The system is quite robust to the loss of some units, as some units still remain to perform, although the system will not perform to its maximum capabilities.Decentralized coordination—The robots communicate with each other and with their environment to make final decisions.Flexibility—The swarm robotic system has the ability to generate modularized solutions to different tasks.

Sliding Modes in Control and Optimization

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Publisher : Springer Science & Business Media
ISBN 13 : 3642843794
Total Pages : 300 pages
Book Rating : 4.6/5 (428 download)

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Book Synopsis Sliding Modes in Control and Optimization by : Vadim I. Utkin

Download or read book Sliding Modes in Control and Optimization written by Vadim I. Utkin and published by Springer Science & Business Media. This book was released on 2013-03-12 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is devoted to systems with discontinuous control. The study of discontinuous dynamic systems is a multifacet problem which embraces mathematical, control theoretic and application aspects. Times and again, this problem has been approached by mathematicians, physicists and engineers, each profession treating it from its own positions. Interestingly, the results obtained by specialists in different disciplines have almost always had a significant effect upon the development of the control theory. It suffices to mention works on the theory of oscillations of discontinuous nonlinear systems, mathematical studies in ordinary differential equations with discontinuous righthand parts or variational problems in nonclassic statements. The unremitting interest to discontinuous control systems enhanced by their effective application to solution of problems most diverse in their physical nature and functional purpose is, in the author's opinion, a cogent argument in favour of the importance of this area of studies. It seems a useful effort to consider, from a control theoretic viewpoint, the mathematical and application aspects of the theory of discontinuous dynamic systems and determine their place within the scope of the present-day control theory. The first attempt was made by the author in 1975-1976 in his course on "The Theory of Discontinuous Dynamic Systems" and "The Theory of Variable Structure Systems" read to post-graduates at the University of Illinois, USA, and then presented in 1978-1979 at the seminars held in the Laboratory of Systems with Discontinous Control at the Institute of Control Sciences in Moscow.

State Estimation and Stabilization of Nonlinear Systems

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Publisher : Springer Nature
ISBN 13 : 3031379705
Total Pages : 439 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis State Estimation and Stabilization of Nonlinear Systems by : Abdellatif Ben Makhlouf

Download or read book State Estimation and Stabilization of Nonlinear Systems written by Abdellatif Ben Makhlouf and published by Springer Nature. This book was released on 2023-11-06 with total page 439 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the separation principle which is also known as the principle of separation of estimation and control and states that, under certain assumptions, the problem of designing an optimal feedback controller for a stochastic system can be solved by designing an optimal observer for the system's state, which feeds into an optimal deterministic controller for the system. Thus, the problem may be divided into two halves, which simplifies its design. In the context of deterministic linear systems, the first instance of this principle is that if a stable observer and stable state feedback are built for a linear time-invariant system (LTI system hereafter), then the combined observer and feedback are stable. The separation principle does not true for nonlinear systems in general. Another instance of the separation principle occurs in the context of linear stochastic systems, namely that an optimum state feedback controller intended to minimize a quadratic cost is optimal for the stochastic control problem with output measurements. The ideal solution consists of a Kalman filter and a linear-quadratic regulator when both process and observation noise are Gaussian. The term for this is linear-quadratic-Gaussian control. More generally, given acceptable conditions and when the noise is a martingale (with potential leaps), a separation principle, also known as the separation principle in stochastic control, applies when the noise is a martingale (with possible jumps).