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Adaptive Learning Methods For Nonlinear System Modeling

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Adaptive Learning Methods for Nonlinear System Modeling

Adaptive Learning Methods for Nonlinear System Modeling Book
Author : Danilo Comminiello,Jose C. Principe
Publisher : Butterworth-Heinemann
Release : 2018-06-11
ISBN : 0128129778
Language : En, Es, Fr & De

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Book Description :

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.

Modelling Simulation and Applications of Complex Systems

Modelling  Simulation and Applications of Complex Systems Book
Author : Mohd Hafiz Mohd
Publisher : Springer Nature
Release : 2021-12-03
ISBN : 9811626294
Language : En, Es, Fr & De

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Book Description :

Download Modelling Simulation and Applications of Complex Systems book written by Mohd Hafiz Mohd, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

The First Outstanding 50 Years of Universit Politecnica delle Marche

The First Outstanding 50 Years of    Universit   Politecnica delle Marche    Book
Author : Sauro Longhi,Andrea Monteriù,Alessandro Freddi,Emanuele Frontoni,Michele Germani,Gian Marco Revel
Publisher : Springer Nature
Release : 2019-12-16
ISBN : 3030327620
Language : En, Es, Fr & De

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Book Description :

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.

XIV International Scientific Conference INTERAGROMASH 2021

XIV International Scientific Conference    INTERAGROMASH 2021  Book
Author : Alexey Beskopylny,Mark Shamtsyan
Publisher : Springer Nature
Release : 2021-12-01
ISBN : 3030816192
Language : En, Es, Fr & De

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Book Description :

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.

Intelligent Adaptive Control

Intelligent Adaptive Control Book
Author : Lakhmi C. Jain,Clarence W. de Silva
Publisher : CRC Press
Release : 1998-12-29
ISBN : 9780849398056
Language : En, Es, Fr & De

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Book Description :

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.

Process Neural Networks

Process Neural Networks Book
Author : Xingui He,Shaohua Xu
Publisher : Springer Science & Business Media
Release : 2010-07-05
ISBN : 3540737626
Language : En, Es, Fr & De

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Book Description :

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 Critic Control with Robust Stabilization for Uncertain Nonlinear Systems

Adaptive Critic Control with Robust Stabilization for Uncertain Nonlinear Systems Book
Author : Ding Wang,Chaoxu Mu
Publisher : Springer
Release : 2018-08-10
ISBN : 9811312532
Language : En, Es, Fr & De

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Book Description :

This book reports on the latest advances in adaptive critic control with robust stabilization for uncertain nonlinear systems. Covering the core theory, novel methods, and a number of typical industrial applications related to the robust adaptive critic control field, it develops a comprehensive framework of robust adaptive strategies, including theoretical analysis, algorithm design, simulation verification, and experimental results. As such, it is of interest to university researchers, graduate students, and engineers in the fields of automation, computer science, and electrical engineering wishing to learn about the fundamental principles, methods, algorithms, and applications in the field of robust adaptive critic control. In addition, it promotes the development of robust adaptive critic control approaches, and the construction of higher-level intelligent systems.

AI and Learning Systems

AI and Learning Systems Book
Author : Konstantinos Kyprianidis,Erik Dahlquist
Publisher : BoD – Books on Demand
Release : 2021-02-17
ISBN : 1789858771
Language : En, Es, Fr & De

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Book Description :

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

Latest Trends in Renewable Energy Technologies

Latest Trends in Renewable Energy Technologies Book
Author : Shelly Vadhera,Bhimrao S. Umre,Akhtar Kalam
Publisher : Springer Nature
Release : 2021
ISBN : 9811611866
Language : En, Es, Fr & De

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Book Description :

This book presents select proceedings of the National Conference on Renewable Energy and Sustainable Environment (NCRESE 2020) and examines a range of reliable energy-efficient harvesting technologies, their applications and utilization of available alternate energy resources. The topics covered include alternate energy technologies, smart grid topologies and their relevant issues, solar thermal and bio-energy systems, electric vehicles and energy storage systems and its control issues. The book also discusses various properties and performance attributes of advance renewable energy techniques and impact on environmental sustainability. The book will be useful for researchers and professionals working in the areas of energy and sustainable environment and the allied fields.

European Control Conference 1993

European Control Conference 1993 Book
Author : Anonim
Publisher : European Control Association
Release : 1993-06-28
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Proceedings of the European Control Conference 1993, Groningen, Netherlands, June 28 – July 1, 1993

Advances in Neural Information Processing Systems 15

Advances in Neural Information Processing Systems 15 Book
Author : Suzanna Becker,Sebastian Thrun,Klaus Obermayer
Publisher : MIT Press
Release : 2003
ISBN : 9780262025508
Language : En, Es, Fr & De

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Book Description :

Proceedings of the 2002 Neural Information Processing Systems Conference. The annual Neural Information Processing (NIPS) meeting is the flagship conference on neural computation. The conference draws a diverse group of attendees--physicists, neuroscientists, mathematicians, statisticians, and computer scientists--and the presentations are interdisciplinary, with contributions in algorithms, learning theory, cognitive science, neuroscience, vision, speech and signal processing, reinforcement learning and control, implementations, and applications. Only about thirty percent of the papers submitted are accepted for presentation at NIPS, so the quality is exceptionally high. This volume contains all the papers presented at the 2002 conference.

Advances in Neural Networks ISNN 2006

Advances in Neural Networks   ISNN 2006 Book
Author : Anonim
Publisher : Springer Science & Business Media
Release : 2006
ISBN : 3540344373
Language : En, Es, Fr & De

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Book Description :

Download Advances in Neural Networks ISNN 2006 book written by , available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Swarm Evolutionary and Memetic Computing

Swarm  Evolutionary  and Memetic Computing Book
Author : Bijaya Ketan Panigrahi,Ponnuthurai Nagaratnam Suganthan,Swagatam Das,Shubhransu Sekhar Dash
Publisher : Springer
Release : 2013-12-12
ISBN : 3319037560
Language : En, Es, Fr & De

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Book Description :

The two-volume set LNCS 8297 and LNCS 8298 constitutes the proceedings of the 4th International Conference on Swarm, Evolutionary and Memetic Computing, SEMCCO 2013, held in Chennai, India, in December 2013. The total of 123 papers presented in this volume was carefully reviewed and selected for inclusion in the proceedings. They cover cutting-edge research on swarm, evolutionary and memetic computing, neural and fuzzy computing and its application.

Stochastic Game Strategies and their Applications

Stochastic Game Strategies and their Applications Book
Author : Bor-Sen Chen
Publisher : CRC Press
Release : 2019-07-31
ISBN : 0429780508
Language : En, Es, Fr & De

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Book Description :

Game theory involves multi-person decision making and differential dynamic game theory has been widely applied to n-person decision making problems, which are stimulated by a vast number of applications. This book addresses the gap to discuss general stochastic n-person noncooperative and cooperative game theory with wide applications to control systems, signal processing systems, communication systems, managements, financial systems, and biological systems. H∞ game strategy, n-person cooperative and noncooperative game strategy are discussed for linear and nonlinear stochastic systems along with some computational algorithms developed to efficiently solve these game strategies.

Intelligent Systems

Intelligent Systems Book
Author : Cornelius T. Leondes
Publisher : CRC Press
Release : 2018-10-08
ISBN : 1420040812
Language : En, Es, Fr & De

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Book Description :

Intelligent systems, or artificial intelligence technologies, are playing an increasing role in areas ranging from medicine to the major manufacturing industries to financial markets. The consequences of flawed artificial intelligence systems are equally wide ranging and can be seen, for example, in the programmed trading-driven stock market crash of October 19, 1987. Intelligent Systems: Technology and Applications, Six Volume Set connects theory with proven practical applications to provide broad, multidisciplinary coverage in a single resource. In these volumes, international experts present case-study examples of successful practical techniques and solutions for diverse applications ranging from robotic systems to speech and signal processing, database management, and manufacturing.

Computer Software Structures Integrating AI KBS Systems in Process Control

Computer Software Structures Integrating AI KBS Systems in Process Control Book
Author : K.-E. Arzen
Publisher : Elsevier
Release : 2014-05-23
ISBN : 1483297616
Language : En, Es, Fr & De

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Book Description :

The past few years have seen rapid developments in computer technology, giving rise to a range of system control options which can be applied in the process industries. These include; open systems, expert systems, neural networks, fuzzy systems and object-oriented systems, all of which are covered in this key volume, which provides an invaluable summary of the latest international research in this area.

Fully Tuned Radial Basis Function Neural Networks for Flight Control

Fully Tuned Radial Basis Function Neural Networks for Flight Control Book
Author : N. Sundararajan,P. Saratchandran,Yan Li
Publisher : Springer Science & Business Media
Release : 2013-03-09
ISBN : 1475752865
Language : En, Es, Fr & De

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Book Description :

Fully Tuned Radial Basis Function Neural Networks for Flight Control presents the use of the Radial Basis Function (RBF) neural networks for adaptive control of nonlinear systems with emphasis on flight control applications. A Lyapunov synthesis approach is used to derive the tuning rules for the RBF controller parameters in order to guarantee the stability of the closed loop system. Unlike previous methods that tune only the weights of the RBF network, this book presents the derivation of the tuning law for tuning the centers, widths, and weights of the RBF network, and compares the results with existing algorithms. It also includes a detailed review of system identification, including indirect and direct adaptive control of nonlinear systems using neural networks. Fully Tuned Radial Basis Function Neural Networks for Flight Control is an excellent resource for professionals using neural adaptive controllers for flight control applications.

Ubiquitous Intelligent Systems

Ubiquitous Intelligent Systems Book
Author : P. Karuppusamy
Publisher : Springer Nature
Release : 2021-12-03
ISBN : 9811636753
Language : En, Es, Fr & De

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Book Description :

Download Ubiquitous Intelligent Systems book written by P. Karuppusamy, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Fault Detection and Fault Tolerant Control for Nonlinear Systems

Fault Detection and Fault Tolerant Control for Nonlinear Systems Book
Author : Linlin Li
Publisher : Springer
Release : 2016-02-19
ISBN : 3658130202
Language : En, Es, Fr & De

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Book Description :

Linlin Li addresses the analysis and design issues of observer-based FD and FTC for nonlinear systems. The author analyses the existence conditions for the nonlinear observer-based FD systems to gain a deeper insight into the construction of FD systems. Aided by the T-S fuzzy technique, she recommends different design schemes, among them the L_inf/L_2 type of FD systems. The derived FD and FTC approaches are verified by two benchmark processes.

Self Learning Optimal Control of Nonlinear Systems

Self Learning Optimal Control of Nonlinear Systems Book
Author : Qinglai Wei,Ruizhuo Song,Benkai Li,Xiaofeng Lin
Publisher : Springer
Release : 2017-06-13
ISBN : 981104080X
Language : En, Es, Fr & De

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Book Description :

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.