Download or read book Recurrent Adaptive NeuroFuzzy Paradigms written by Majida Nazir and published by LAP Lambert Academic Publishing. This book was released on 2013 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: Vehicle stability and comfort of passenger is greatly in influenced by the uneven and bumpy roads. When visualizing the conventional semi-active and passive systems, they have fixed parameters and can not adapt with uneven roads. Main objective of this work is to get enhanced active suspension of the full car model. Mathematical modeling of full car model is evaluated and update parameter equations of the active controllers, i.e. Recurrent Fuzzy Wavelet Neural Network-1(a), Recurrent Fuzzy Wavelet Neural Network-1(b), Recurrent Fuzzy Wavelet Neural Network-2(a), Recurrent Fuzzy Wavelet Neural Network-2(b), Recurrent Fuzzy Wavelet Neural Network-3(a) and Recurrent Fuzzy Wavelet Neural Network-2(b) controllers have been derived. Then these controllers are tested using MATLAB/Simulink on full car model. At the end comparison of all the above mentioned controllers with passive suspension and semi-active suspension is done. It is concluded that these active controllers have greatly improved the displacement and acceleration of Heave, Pitch, Roll and Seat of car, as a result comfort of passenger and vehicle is improved.

Download or read book Advanced Control and Optimization Paradigms for Wind Energy Systems written by Radu-Emil Precup and published by Springer. This book was released on 2019-02-07 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents advanced studies on the conversion efficiency, mechanical reliability, and the quality of power related to wind energy systems. The main concern regarding such systems is reconciling the highly intermittent nature of the primary source (wind speed) with the demand for high-quality electrical energy and system stability. This means that wind energy conversion within the standard parameters imposed by the energy market and power industry is unachievable without optimization and control. The book discusses the rapid growth of control and optimization paradigms and applies them to wind energy systems: new controllers, new computational approaches, new applications, new algorithms, and new obstacles.

Download or read book Knowledge Based and Intelligent Information and Engineering Systems Part I written by Andreas Koenig and published by Springer Science & Business Media. This book was released on 2011-09-06 with total page 637 pages. Available in PDF, EPUB and Kindle. Book excerpt: The four-volume set LNAI 6881-LNAI 6884 constitutes the refereed proceedings of the 15th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2011, held in Kaiserslautern, Germany, in September 2011. Part 1: The total of 244 high-quality papers presented were carefully reviewed and selected from numerous submissions. The 61 papers of Part 1 are organized in topical sections on artificial neural networks, connectionists systems and evolutionary computation, machine learning and classical AI, agent, multi-agentsystems, knowledge based and expert systems, intelligent vision, image processing and signal processing, knowledge management, ontologies, and data mining.

Download or read book Machine Learning Paradigms written by George A. Tsihrintzis and published by Springer. This book was released on 2019-07-06 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the inaugural volume in the new Springer series on Learning and Analytics in Intelligent Systems. The series aims at providing, in hard-copy and soft-copy form, books on all aspects of learning, analytics, advanced intelligent systems and related technologies. These disciplines are strongly related and mutually complementary; accordingly, the new series encourages an integrated approach to themes and topics in these disciplines, which will result in significant cross-fertilization, research advances and new knowledge creation. To maximize the dissemination of research findings, the series will publish edited books, monographs, handbooks, textbooks and conference proceedings. This book is intended for professors, researchers, scientists, engineers and students. An extensive list of references at the end of each chapter allows readers to probe further into those application areas that interest them most.

Download or read book Nature Inspired Computing Paradigms in Systems written by Mohamed Arezki Mellal and published by Academic Press. This book was released on 2021-06-18 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nature-Inspired Computing Paradigms in Systems: Reliability, Availability, Maintainability, Safety and Cost (RAMS+C) and Prognostics and Health Management (PHM) covers several areas that include bioinspired techniques and optimization approaches for system dependability. The book addresses the issue of integration and interaction of the bioinspired techniques in system dependability computing so that intelligent decisions, design, and architectures can be supported. It brings together these emerging areas under the umbrella of bio- and nature-inspired computational intelligence. The primary audience of this book includes experts and developers who want to deepen their understanding of bioinspired computing in basic theory, algorithms, and applications. The book is also intended to be used as a textbook for masters and doctoral students who want to enhance their knowledge and understanding of the role of bioinspired techniques in system dependability. Provides the latest review Covers various nature-inspired techniques applied to RAMS+C and PHM problems Includes techniques applied to new applications

Download or read book Self Learning and Adaptive Algorithms for Business Applications written by Zhengbing Hu and published by Emerald Group Publishing. This book was released on 2019-06-25 with total page 98 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this guide designed for researchers and students of computer science, readers will find a resource for how to apply methods that work on real-life problems to their challenging applications, and a go-to work that makes fuzzy clustering issues and aspects clear.

Download or read book Intelligent Paradigms for Smart Grid and Renewable Energy Systems written by B. Vinoth Kumar and published by Springer Nature. This book was released on 2020-12-15 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses and disseminates state-of-the-art research and development in the applications of intelligent techniques for smart grids and renewable energy systems. This helps the readers to grasp the extensive point of view and the essence of the recent advances in this field. The book solicits contributions from active researchers which include theory, case studies and intelligent paradigms pertaining to the smart grid and renewable energy systems. The prospective audience would be researchers, professionals, practitioners and students from academia and industry who work in this field.

Download or read book Computational Intelligence Paradigms written by Mika Sato-Ilic and published by Springer. This book was released on 2008-06-17 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: System designers are faced with a large set of data which has to be analysed and processed efficiently. Advanced computational intelligence paradigms present tremendous advantages by offering capabilities such as learning, generalisation and robustness. These capabilities help in designing complex systems which are intelligent and robust. The book includes a sample of research on the innovative applications of advanced computational intelligence paradigms. The characteristics of computational intelligence paradigms such as learning, generalization based on learned knowledge, knowledge extraction from imprecise and incomplete data are the extremely important for the implementation of intelligent machines. The chapters include architectures of computational intelligence paradigms, knowledge discovery, pattern classification, clusters, support vector machines and gene linkage analysis. We believe that the research on computational intelligence will simulate great interest among designers and researchers of complex systems. It is important to use the fusion of various constituents of computational intelligence to offset the demerits of one paradigm by the merits of another.

Download or read book The Logic of Adaptive Behavior written by Martijn van Otterlo and published by IOS Press. This book was released on 2009 with total page 508 pages. Available in PDF, EPUB and Kindle. Book excerpt: Markov decision processes have become the de facto standard in modeling and solving sequential decision making problems under uncertainty. This book studies lifting Markov decision processes, reinforcement learning and dynamic programming to the first-order (or, relational) setting.

Download or read book Green IT Engineering Concepts Models Complex Systems Architectures written by Vyacheslav Kharchenko and published by Springer. This book was released on 2016-09-21 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume provides a comprehensive state of the art overview of a series of advanced trends and concepts that have recently been proposed in the area of green information technologies engineering as well as of design and development methodologies for models and complex systems architectures and their intelligent components. The contributions included in the volume have their roots in the authors’ presentations, and vivid discussions that have followed the presentations, at a series of workshop and seminars held within the international TEMPUS-project GreenCo project in United Kingdom, Italy, Portugal, Sweden and the Ukraine, during 2013-2015 and at the 1st - 5th Workshops on Green and Safe Computing (GreenSCom) held in Russia, Slovakia and the Ukraine. The book presents a systematic exposition of research on principles, models, components and complex systems and a description of industry- and society-oriented aspects of the green IT engineering. A chapter-oriented structure has been adopted for this book following a “vertical view” of the green IT, from hardware (CPU and FPGA) and software components to complex industrial systems. The 15 chapters of the book are grouped into five sections: (1) Methodology and Principles of Green IT Engineering for Complex Systems, (2) Green Components and Programmable Systems, (3) Green Internet Computing, Cloud and Communication Systems, (4) Modeling and Assessment of Green Computer Systems and Infrastructures, and (5) Green PLC-Based Systems for Industry Applications. The chapters provide an easy to follow, comprehensive introduction to the topics that are addressed, including the most relevant references, so that anyone interested in them can start the study by being able to easily find an introduction to the topic through these references. At the same time, all of them correspond to different aspects of the work in progress being carried out by various research groups throughout the world and, therefore, provide information on the state of the art of some of these topics, challenges and perspectives.

Download or read book System Identification and Adaptive Control written by Yiannis Boutalis and published by Springer Science & Business. This book was released on 2014-04-23 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presenting current trends in the development and applications of intelligent systems in engineering, this monograph focuses on recent research results in system identification and control. The recurrent neurofuzzy and the fuzzy cognitive network (FCN) models are presented. Both models are suitable for partially-known or unknown complex time-varying systems. Neurofuzzy Adaptive Control contains rigorous proofs of its statements which result in concrete conclusions for the selection of the design parameters of the algorithms presented. The neurofuzzy model combines concepts from fuzzy systems and recurrent high-order neural networks to produce powerful system approximations that are used for adaptive control. The FCN model stems from fuzzy cognitive maps and uses the notion of “concepts” and their causal relationships to capture the behavior of complex systems. The book shows how, with the benefit of proper training algorithms, these models are potent system emulators suitable for use in engineering systems. All chapters are supported by illustrative simulation experiments, while separate chapters are devoted to the potential industrial applications of each model including projects in: • contemporary power generation; • process control and • conventional benchmarking problems. Researchers and graduate students working in adaptive estimation and intelligent control will find Neurofuzzy Adaptive Control of interest both for the currency of its models and because it demonstrates their relevance for real systems. The monograph also shows industrial engineers how to test intelligent adaptive control easily using proven theoretical results.

Download or read book Neuro Fuzzy Equalizers for Mobile Cellular Channels written by K.C. Raveendranathan and published by CRC Press. This book was released on 2017-11-22 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: Equalizers are present in all forms of communication systems. Neuro-Fuzzy Equalizers for Mobile Cellular Channels details the modeling of a mobile broadband communication channel and designing of a neuro-fuzzy adaptive equalizer for it. This book focuses on the concept of the simulation of wireless channel equalizers using the adaptive-network-based fuzzy inference system (ANFIS). The book highlights a study of currently existing equalizers for wireless channels. It discusses several techniques for channel equalization, including the type-2 fuzzy adaptive filter (type-2 FAF), compensatory neuro-fuzzy filter (CNFF), and radial basis function (RBF) neural network. Neuro-Fuzzy Equalizers for Mobile Cellular Channels starts with a brief introduction to channel equalizers, and the nature of mobile cellular channels with regard to the frequency reuse and the resulting CCI. It considers the many channel models available for mobile cellular channels, establishes the mobile indoor channel as a Rayleigh fading channel, presents the channel equalization problem, and focuses on various equalizers for mobile cellular channels. The book discusses conventional equalizers like LE and DFE using a simple LMS algorithm and transversal equalizers. It also covers channel equalization with neural networks and fuzzy logic, and classifies various equalizers. This being a fairly new branch of study, the book considers in detail the concept of fuzzy logic controllers in noise cancellation problems and provides the fundamental concepts of neuro-fuzzy. The final chapter offers a recap and explores venues for further research. This book also establishes a common mathematical framework of the equalizers using the RBF model and develops a mathematical model for ultra-wide band (UWB) channels using the channel co-variance matrix (CCM). Introduces the novel concept of the application of adaptive-network-based fuzzy inference system (ANFIS) in the design of wireless channel equalizers Provides model ultra-wide band (UWB) channels using channel co-variance matrix Offers a formulation of a unified radial basis function (RBF) framework for ANFIS-based and fuzzy adaptive filter (FAF) Type II, as well as compensatory neuro-fuzzy equalizers Includes extensive use of MATLAB® as the simulation tool in all the above cases

Download or read book Adaptive Systems in Control and Signal Processing 1998 written by Robert R. Bitmead and published by Pergamon. This book was released on 2000 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adaptive Systems have been studied for a substantial period as the logical intersection between modelling and design in control and signal processing. Because of this, adaptive systems studies need to live in these two worlds while introducing concepts of their own. These reflect the requirements to track significant system variations or to eliminate initial parameter uncertainty, all the while maintaining satisfactory transient performance. Historically, Adaptive Systems (and notably Adaptive Control) have been the subject of takeover bids by neighbouring tribes from fields such as gain-scheduling, identification, robust design or nonlinear systems. The response to this has been to add impetus to the understanding of the connections between these disciplines and adaptation, leading in turn to improvements of theory and practice. We would appear to be currently in a period where there are increasing contacts being made with fields such as Learning Systems, Computer Architectures and Identification. Rather than hostile takeovers, these have helped to expand the capability of Adaptive systems dramatically. In this IFAC Workshop on Adaptive control and Signal Processing, a wide range of papers expressing the large number of fronts on which adaptive systems are developing has been drawn together.

Download or read book Neuro fuzzy and Soft Computing written by Jyh-Shing Roger Jang and published by Pearson Education. This book was released on 1997 with total page 658 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neuro-Fuzzy and Soft Computing provides the first comprehensive treatment of the constituent methodologies underlying neuro-fuzzy and soft computing, an evolving branch of computational intelligence. The constituent methodologies include fuzzy set theory, neural networks, data clustering techniques, and several stochastic optimization methods that do not require gradient information. In particular, the authors put equal emphasis on theoretical aspects of covered methodologies, as well as empirical observations and verifications of various applications in practice. The book is well suited for use as a text for courses on computational intelligence and as a single reference source for this emerging field. To help readers understand the material the presentation includes more than 50 examples, more than 150 exercises, over 300 illustrations, and more than 150 Matlab scripts. In addition, Matlab is utilized to visualize the processes of fuzzy reasoning, neural-network learning, neuro-fuzzy integration and training, and gradient-free optimization (such as genetic algorithms, simulated annealing, random search, and downhill Simplex method). The presentation also makes use of SIMULINK for neuro-fuzzy control system simulations. All Matlab scripts used in the book are available on the free companion software disk that may be ordered by using the enclosed reply card. The book also contains an "Internet Resource Page" to point the reader to on-line neuro-fuzzy and soft computing home pages, publications, public-domain software, research institutes, news groups, etc. All the HTTP and FTP addresses are available as a bookmark file on the companion software disk.

Download or read book Recent Advances on Hybrid Intelligent Systems written by Oscar Castillo and published by Springer. This book was released on 2012-09-14 with total page 558 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent advances on hybrid intelligent systems using soft computing techniques for intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and bio-inspired optimization algorithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in five main parts, which contain groups of papers around a similar subject. The first part consists of papers with the main theme of hybrid intelligent systems for control and robotics, which are basically state of the art papers that propose new models and concepts, which can be the basis for achieving intelligent control and mobile robotics. The second part contains papers with the main theme of hybrid intelligent systems for pattern recognition and time series prediction, which are basically papers using nature-inspired techniques, like evolutionary algorithms, fuzzy logic and neural networks, for achieving efficient pattern recognition or time series prediction. The third part contains papers with the theme of bio-inspired and genetic optimization methods, which basically consider the proposal of new methods and applications of bio-inspired optimization to solve complex optimization of real problems. The fourth part contains papers that deal with the application of intelligent optimization techniques in real world problems in scheduling, planning and manufacturing. The fifth part contains papers with the theme of evolutionary methods and intelligent computing, which are papers considering soft computing methods for applications related to diverse areas, such as natural language processing, recommending systems and optimization.

Download or read book Neuro Fuzzy Techniques for Intelligent Information Systems written by Nikola K. Kasabov and published by Physica. This book was released on 1999-03-29 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume comprises selected chapters that cover contemporary issues of the development and the application of neuro-fuzzy techniques. Developing and using neural networks, fuzzy logic systems, genetic algorithms and statistical methods as separate techniques, or in their combination, have been research topics in several areas such as mathematics, engineering, computer science, physics, economics and finance. Here the latest results in the fields are presented from both theoretical and practical point of view. The volume has four main parts. Part one presents generic techniques and theoretical issues while part two, three and four deal with practically oriented models, systems and implementations.

Download or read book Inventive Systems and Control written by V. Suma and published by Springer Nature. This book was released on 2021-06-07 with total page 992 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents selected papers from the 5th International Conference on Inventive Systems and Control (ICISC 2021), held on 7–8 January 2021 at JCT College of Engineering and Technology, Coimbatore, India. The book includes an analysis of the class of intelligent systems and control techniques that utilises various artificial intelligence technologies, where there are no mathematical models and systems available to make them remain controlled. Inspired by various existing intelligent techniques, the primary goal is to present the emerging innovative models to tackle the challenges faced by the existing computing and communication technologies. The proceedings of ICISC 2021 aim at presenting the state-of-the-art research developments, trends, and solutions for the challenges faced by the intelligent systems and control community with the real-world applications. The included research articles feature the novel and unpublished research works on intelligent system representation and control.