Adaptive Learning Methods For Nonlinear System Modeling

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Adaptive Learning Methods for Nonlinear System Modeling

Author : Danilo Comminiello
Publisher : Butterworth-Heinemann
ISBN 13 : 0128129778
Total Pages : 390 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Adaptive Learning Methods for Nonlinear System Modeling by : Danilo Comminiello

Download or read book Adaptive Learning Methods for Nonlinear System Modeling written by Danilo Comminiello and published by Butterworth-Heinemann. This book was released on 2018-06-11 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adaptive Learning Methods for Nonlinear System Modeling presents some of the recent advances on adaptive algorithms and machine learning methods designed for nonlinear system modeling and identification. Real-life problems always entail a certain degree of nonlinearity, which makes linear models a non-optimal choice. This book mainly focuses on those methodologies for nonlinear modeling that involve any adaptive learning approaches to process data coming from an unknown nonlinear system. By learning from available data, such methods aim at estimating the nonlinearity introduced by the unknown system. In particular, the methods presented in this book are based on online learning approaches, which process the data example-by-example and allow to model even complex nonlinearities, e.g., showing time-varying and dynamic behaviors. Possible fields of applications of such algorithms includes distributed sensor networks, wireless communications, channel identification, predictive maintenance, wind prediction, network security, vehicular networks, active noise control, information forensics and security, tracking control in mobile robots, power systems, and nonlinear modeling in big data, among many others. This book serves as a crucial resource for researchers, PhD and post-graduate students working in the areas of machine learning, signal processing, adaptive filtering, nonlinear control, system identification, cooperative systems, computational intelligence. This book may be also of interest to the industry market and practitioners working with a wide variety of nonlinear systems. Presents the key trends and future perspectives in the field of nonlinear signal processing and adaptive learning. Introduces novel solutions and improvements over the state-of-the-art methods in the very exciting area of online and adaptive nonlinear identification. Helps readers understand important methods that are effective in nonlinear system modelling, suggesting the right methodology to address particular issues.

Identification and Adaptive Control for Nonlinear Systems and Applications

Author : Jianhua Zhang
Publisher : Academic Press
ISBN 13 : 9780128234419
Total Pages : 320 pages
Book Rating : 4.2/5 (344 download)

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Book Synopsis Identification and Adaptive Control for Nonlinear Systems and Applications by : Jianhua Zhang

Download or read book Identification and Adaptive Control for Nonlinear Systems and Applications written by Jianhua Zhang and published by Academic Press. This book was released on 2022-03-15 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Identification and Adaptive Control for Nonlinear Systems and Applications: Applied Mathematics in Control Engineering introduces nonlinear systems concepts, system analysis, system control methods and applications in various fields. The major contribution of the book includes: (1) The basic concepts of nonlinear systems stability analysis and nonlinear systems control method. (2) The stability analysis of complex nonlinear system with adaptive neural networks control. (3) The nonlinear systems adaptive sliding mode controller design of complex nonlinear systems. (4) Some industrial application. The book gives an introduction to basic nonlinear systems architectures for adaptive control methods. Emphasis is placed on the mathematical analysis of these systems, on methods of controlling them for adaptive control and on their application to practical engineering problems in such areas as aircraft path planning. This book enables audience to understand the basic architectures of control science and engineering, and to master classical and advanced design method for nonlinear system. Introduces nonlinear systems concepts, system analysis, system control methods and applications in various fields Presents basic concepts of nonlinear systems stability analysis and nonlinear systems control method Offers practical examples

Concept of Adaptive Filtering

Author : Shivendra Nandan
Publisher : TSG Publications
ISBN 13 :
Total Pages : 176 pages
Book Rating : 4./5 ( download)

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Book Synopsis Concept of Adaptive Filtering by : Shivendra Nandan

Download or read book Concept of Adaptive Filtering written by Shivendra Nandan and published by TSG Publications. This book was released on with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: A spline adaptive filter (SAF) based nonlinear active noise control (ANC) system is proposed in this paper. The SAF consists of a linear network of adaptive weights in a cascade with an adaptive nonlinear network. The nonlinear network, in turn consists of an adaptive look-up table followed by a spline interpolation network and forms an adaptive activation function. An update rule has been derived for the proposed ANC system, which not only updates the weights of the linear network, but also updates the nature of the activation function. Linear Network is based on improvement in FxLMS algorithm. FxLMS algorithm is used because it is computationally simple like the most commonly used Least Mean Square (LMS) algorithm. In addition, it includes secondary path effects. To make the FxLMS algorithm more effective, the secondary path estimation should be more precise and accurate. The nonlinear function involved in the adaptation process is based on a spline function that can be modified during learning. The spline control points are adaptively changed using gradient-based techniques. B-splines and Catmull-Rom splines are used, because they allow imposing simple constraints on control parameters. This new kind of adaptive function is then applied to the output of a linear adaptive filter and it is used for the identification of Wiener-type nonlinear systems. In addition, we derive a simple form of the adaptation algorithm and an upper bound on the choice of the step-size. An extensive simulation study has been conducted to evaluate the noise mitigation performance of the proposed scheme and the new method has been shown to provide improved noise cancellation efficiency with a lesser computational load in comparison with other popular ANC systems.

Stable Adaptive Control and Estimation for Nonlinear Systems

Author : Jeffrey T. Spooner
Publisher : John Wiley & Sons
ISBN 13 : 0471460974
Total Pages : 564 pages
Book Rating : 4.4/5 (714 download)

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Book Synopsis Stable Adaptive Control and Estimation for Nonlinear Systems by : Jeffrey T. Spooner

Download or read book Stable Adaptive Control and Estimation for Nonlinear Systems written by Jeffrey T. Spooner and published by John Wiley & Sons. This book was released on 2004-04-07 with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt: Thema dieses Buches ist die Anwendung neuronaler Netze und Fuzzy-Logic-Methoden zur Identifikation und Steuerung nichtlinear-dynamischer Systeme. Dabei werden fortgeschrittene Konzepte der herkömmlichen Steuerungstheorie mit den intuitiven Eigenschaften intelligenter Systeme kombiniert, um praxisrelevante Steuerungsaufgaben zu lösen. Die Autoren bieten viel Hintergrundmaterial; ausgearbeitete Beispiele und Übungsaufgaben helfen Studenten und Praktikern beim Vertiefen des Stoffes. Lösungen zu den Aufgaben sowie MATLAB-Codebeispiele sind ebenfalls enthalten.

Modelling, Simulation and Applications of Complex Systems

Author : Mohd Hafiz Mohd
Publisher : Springer Nature
ISBN 13 : 9811626294
Total Pages : 440 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Modelling, Simulation and Applications of Complex Systems by : Mohd Hafiz Mohd

Download or read book Modelling, Simulation and Applications of Complex Systems written by Mohd Hafiz Mohd and published by Springer Nature. This book was released on 2021-06-10 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the latest progresses and developments on complex systems research and intends to give an exposure to prospective readers about the theoretical and practical aspects of mathematical modelling, numerical simulation and agent-based modelling frameworks. The main purpose of this book is to emphasize a unified approach to complex systems analysis, which goes beyond to examine complicated phenomena of numerous real-life systems; this is done by investigating a huge number of components that interact with each other at different (microscopic and macroscopic) scales; new insights and emergent collective behaviours can evolve from the interactions between individual components and also with their environments. These tools and concepts permit us to better understand the patterns of various real-life systems and help us to comprehend the mechanisms behind which distinct factors shaping some complex systems phenomena being influenced. This book is published in conjunction with the International Workshop on Complex Systems Modelling & Simulation 2019 (CoSMoS 2019): IoT & Big Data Integration. This international event was held at the Universiti Sains Malaysia Main Campus, Penang, Malaysia, from 8 to 11 April 2019. This book appeals to readers interested in complex systems research and other related areas such as mathematical modelling, numerical simulation and agent-based modelling frameworks.

Signal Processing and Machine Learning Theory

Author : Paulo S.R. Diniz
Publisher : Elsevier
ISBN 13 : 032397225X
Total Pages : 1236 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Signal Processing and Machine Learning Theory by : Paulo S.R. Diniz

Download or read book Signal Processing and Machine Learning Theory written by Paulo S.R. Diniz and published by Elsevier. This book was released on 2023-07-10 with total page 1236 pages. Available in PDF, EPUB and Kindle. Book excerpt: Signal Processing and Machine Learning Theory, authored by world-leading experts, reviews the principles, methods and techniques of essential and advanced signal processing theory. These theories and tools are the driving engines of many current and emerging research topics and technologies, such as machine learning, autonomous vehicles, the internet of things, future wireless communications, medical imaging, etc. Provides quick tutorial reviews of important and emerging topics of research in signal processing-based tools Presents core principles in signal processing theory and shows their applications Discusses some emerging signal processing tools applied in machine learning methods References content on core principles, technologies, algorithms and applications Includes references to journal articles and other literature on which to build further, more specific, and detailed knowledge

The First Outstanding 50 Years of “Università Politecnica delle Marche”

Author : Sauro Longhi
Publisher : Springer Nature
ISBN 13 : 3030327620
Total Pages : 406 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis The First Outstanding 50 Years of “Università Politecnica delle Marche” by : Sauro Longhi

Download or read book The First Outstanding 50 Years of “Università Politecnica delle Marche” written by Sauro Longhi and published by Springer Nature. This book was released on 2019-12-16 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book describes the significant multidisciplinary research findings at the Università Politecnica delle Marche and the expected future advances. It addresses some of the most dramatic challenges posed by today’s fast-growing, global society and the changes it has caused. It also discusses solutions to improve the wellbeing of human beings. The book covers the main research achievements in the different disciplines of the physical sciences and engineering, as well as several research lines developed at the university’s Faculty of Engineering in the fields of electronic and information engineering, telecommunications, biomedical engineering, mechanical engineering, manufacturing technologies, energy, advanced materials, chemistry, physics of matter, mathematical sciences, geotechnical engineering, circular economy, urban planning, construction engineering, infrastructures and environment protection, technologies and digitization of the built environment and cultural heritage. It highlights the international relevance and multidisciplinarity of research at the university as well as the planned research lines for the next years.

Self-Learning Optimal Control of Nonlinear Systems

Author : Qinglai Wei
Publisher : Springer
ISBN 13 : 981104080X
Total Pages : 230 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Self-Learning Optimal Control of Nonlinear Systems by : Qinglai Wei

Download or read book Self-Learning Optimal Control of Nonlinear Systems written by Qinglai Wei and published by Springer. This book was released on 2017-06-13 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a class of novel, self-learning, optimal control schemes based on adaptive dynamic programming techniques, which quantitatively obtain the optimal control schemes of the systems. It analyzes the properties identified by the programming methods, including the convergence of the iterative value functions and the stability of the system under iterative control laws, helping to guarantee the effectiveness of the methods developed. When the system model is known, self-learning optimal control is designed on the basis of the system model; when the system model is not known, adaptive dynamic programming is implemented according to the system data, effectively making the performance of the system converge to the optimum. With various real-world examples to complement and substantiate the mathematical analysis, the book is a valuable guide for engineers, researchers, and students in control science and engineering.

Intelligent Adaptive Control

Author : Lakhmi C. Jain
Publisher : CRC Press
ISBN 13 : 9780849398056
Total Pages : 440 pages
Book Rating : 4.3/5 (98 download)

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Book Synopsis Intelligent Adaptive Control by : Lakhmi C. Jain

Download or read book Intelligent Adaptive Control written by Lakhmi C. Jain and published by CRC Press. This book was released on 1998-12-29 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes important techniques, developments, and applications of computational intelligence in system control. Chapters present: an introduction to the fundamentals of neural networks, fuzzy logic, and evolutionary computing a rigorous treatment of intelligent control industrial applications of intelligent control and soft computing, including transportation, petroleum, motor drive, industrial automation, and fish processing other knowledge-based techniques, including vehicle driving aid and air traffic management Intelligent Adaptive Control provides a state-of-the-art treatment of practical applications of computational intelligence in system control. The book cohesively covers introductory and advanced theory, design, implementation, and industrial use - serving as a singular resource for the theory and application of intelligent control, particularly employing fuzzy logic, neural networks, and evolutionary computing.

XIV International Scientific Conference “INTERAGROMASH 2021"

Author : Alexey Beskopylny
Publisher : Springer Nature
ISBN 13 : 3030816192
Total Pages : 940 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis XIV International Scientific Conference “INTERAGROMASH 2021" by : Alexey Beskopylny

Download or read book XIV International Scientific Conference “INTERAGROMASH 2021" written by Alexey Beskopylny and published by Springer Nature. This book was released on 2021-10-30 with total page 940 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains original and fundamental research papers in the following areas: engineering technologies for precision agriculture, agricultural systems management and digitalization in agriculture, logistics in agriculture, and other topics. Selected materials of the largest regional scientific event—INTERAGROMASH 2021 conference–included in this book present the results of the latest research in the areas of precision agriculture and agricultural machinery industry. The book is aimed for professionals and practitioners, for researchers, scholars, and producers. The materials presented here are used in the educational process at specific agricultural universities or during vocational training at enterprises and become an indispensable helper to farm managers in making the best agronomic decisions. The book is also useful for representatives of regional authorities, as it gives an idea of existing high-tech solutions for agriculture.

Process Neural Networks

Author : Xingui He
Publisher : Springer Science & Business Media
ISBN 13 : 3540737626
Total Pages : 240 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Process Neural Networks by : Xingui He

Download or read book Process Neural Networks written by Xingui He and published by Springer Science & Business Media. This book was released on 2010-07-05 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: For the first time, this book sets forth the concept and model for a process neural network. You’ll discover how a process neural network expands the mapping relationship between the input and output of traditional neural networks and greatly enhances the expression capability of artificial neural networks. Detailed illustrations help you visualize information processing flow and the mapping relationship between inputs and outputs.

Adaptive Learning of Polynomial Networks

Author : Nikolay Nikolaev
Publisher : Springer Science & Business Media
ISBN 13 : 0387312404
Total Pages : 329 pages
Book Rating : 4.3/5 (873 download)

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Book Synopsis Adaptive Learning of Polynomial Networks by : Nikolay Nikolaev

Download or read book Adaptive Learning of Polynomial Networks written by Nikolay Nikolaev and published by Springer Science & Business Media. This book was released on 2006-08-18 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book delivers theoretical and practical knowledge for developing algorithms that infer linear and non-linear multivariate models, providing a methodology for inductive learning of polynomial neural network models (PNN) from data. The text emphasizes an organized model identification process by which to discover models that generalize and predict well. The book further facilitates the discovery of polynomial models for time-series prediction.

Predictive Learning Control for Unknown Nonaffine Nonlinear Systems

Author : Qiongxia Yu
Publisher : Springer Nature
ISBN 13 : 9811988579
Total Pages : 219 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Predictive Learning Control for Unknown Nonaffine Nonlinear Systems by : Qiongxia Yu

Download or read book Predictive Learning Control for Unknown Nonaffine Nonlinear Systems written by Qiongxia Yu and published by Springer Nature. This book was released on 2023-02-17 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book investigates both theory and various applications of predictive learning control (PLC) which is an advanced technology for complex nonlinear systems. To avoid the difficult modeling problem for complex nonlinear systems, this book begins with the design and theoretical analysis of PLC method without using mechanism model information of the system, and then a series of PLC methods is designed that can cope with system constraints, varying trial lengths, unknown time delay, and available and unavailable system states sequentially. Applications of the PLC on both railway and urban road transportation systems are also studied. The book is intended for researchers, engineers, and graduate students who are interested in predictive control, learning control, intelligent transportation systems and related fields.

AI and Learning Systems

Author : Konstantinos Kyprianidis
Publisher : BoD – Books on Demand
ISBN 13 : 1789858771
Total Pages : 274 pages
Book Rating : 4.7/5 (898 download)

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Book Synopsis AI and Learning Systems by : Konstantinos Kyprianidis

Download or read book AI and Learning Systems written by Konstantinos Kyprianidis and published by BoD – Books on Demand. This book was released on 2021-02-17 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the last few years, interest in the industrial applications of AI and learning systems has surged. This book covers the recent developments and provides a broad perspective of the key challenges that characterize the field of Industry 4.0 with a focus on applications of AI. The target audience for this book includes engineers involved in automation system design, operational planning, and decision support. Computer science practitioners and industrial automation platform developers will also benefit from the timely and accurate information provided in this work. The book is organized into two main sections comprising 12 chapters overall: •Digital Platforms and Learning Systems •Industrial Applications of AI

Nonlinear System Identification

Author : Oliver Nelles
Publisher : Springer Science & Business Media
ISBN 13 : 3662043238
Total Pages : 786 pages
Book Rating : 4.6/5 (62 download)

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Book Synopsis Nonlinear System Identification by : Oliver Nelles

Download or read book Nonlinear System Identification written by Oliver Nelles and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 786 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written from an engineering point of view, this book covers the most common and important approaches for the identification of nonlinear static and dynamic systems. The book also provides the reader with the necessary background on optimization techniques, making it fully self-contained. The new edition includes exercises.

Learning for Adaptive and Reactive Robot Control

Author : Aude Billard
Publisher : MIT Press
ISBN 13 : 0262367017
Total Pages : 425 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Learning for Adaptive and Reactive Robot Control by : Aude Billard

Download or read book Learning for Adaptive and Reactive Robot Control written by Aude Billard and published by MIT Press. This book was released on 2022-02-08 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: Methods by which robots can learn control laws that enable real-time reactivity using dynamical systems; with applications and exercises. This book presents a wealth of machine learning techniques to make the control of robots more flexible and safe when interacting with humans. It introduces a set of control laws that enable reactivity using dynamical systems, a widely used method for solving motion-planning problems in robotics. These control approaches can replan in milliseconds to adapt to new environmental constraints and offer safe and compliant control of forces in contact. The techniques offer theoretical advantages, including convergence to a goal, non-penetration of obstacles, and passivity. The coverage of learning begins with low-level control parameters and progresses to higher-level competencies composed of combinations of skills. Learning for Adaptive and Reactive Robot Control is designed for graduate-level courses in robotics, with chapters that proceed from fundamentals to more advanced content. Techniques covered include learning from demonstration, optimization, and reinforcement learning, and using dynamical systems in learning control laws, trajectory planning, and methods for compliant and force control . Features for teaching in each chapter: applications, which range from arm manipulators to whole-body control of humanoid robots; pencil-and-paper and programming exercises; lecture videos, slides, and MATLAB code examples available on the author’s website . an eTextbook platform website offering protected material[EPS2] for instructors including solutions.

Iterative Learning Control for Nonlinear Time-Delay System

Author : Jianming Wei
Publisher : Springer Nature
ISBN 13 : 9811963177
Total Pages : 185 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Iterative Learning Control for Nonlinear Time-Delay System by : Jianming Wei

Download or read book Iterative Learning Control for Nonlinear Time-Delay System written by Jianming Wei and published by Springer Nature. This book was released on 2023-01-01 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on adaptive iterative learning control problem for nonlinear time-delay systems.A universal adaptive learning control scheme is provided for a wide classes of nonlinear systems with time-varying delay and input nonlinearity. Proceeding from easy to difficult, this book deals with the adaptive iterative learning control problems for parameterized nonlinear time-delay systems, non-parameterized nonlinear time-delay systems, nonlinear time-delay systems with unknown control direction and nonlinear time-delay systems with un-measurable states. The proposed control schemes can be extended to the adaptive learning control problem for wider classes of nonlinear systems revelent to abovementioned nonlinear systems.The topics presented in this book are research hot spots of iterative learning control. This book will be a valuable reference for researchers and students working or studying in this area.