Differential Neural Networks for Robust Nonlinear Control

Download Differential Neural Networks for Robust Nonlinear Control PDF Online Free

Author :
Publisher : World Scientific
ISBN 13 : 9789812811295
Total Pages : 464 pages
Book Rating : 4.8/5 (112 download)

DOWNLOAD NOW!


Book Synopsis Differential Neural Networks for Robust Nonlinear Control by : Alexander S. Poznyak

Download or read book Differential Neural Networks for Robust Nonlinear Control written by Alexander S. Poznyak and published by World Scientific. This book was released on 2001 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book deals with continuous time dynamic neural networks theory applied to the solution of basic problems in robust control theory, including identification, state space estimation (based on neuro-observers) and trajectory tracking. The plants to be identified and controlled are assumed to be a priori unknown but belonging to a given class containing internal unmodelled dynamics and external perturbations as well. The error stability analysis and the corresponding error bounds for different problems are presented. The effectiveness of the suggested approach is illustrated by its application to various controlled physical systems (robotic, chaotic, chemical, etc.). Contents: Theoretical Study: Neural Networks Structures; Nonlinear System Identification: Differential Learning; Sliding Mode Identification: Algebraic Learning; Neural State Estimation; Passivation via Neuro Control; Neuro Trajectory Tracking; Neurocontrol Applications: Neural Control for Chaos; Neuro Control for Robot Manipulators; Identification of Chemical Processes; Neuro Control for Distillation Column; General Conclusions and Future Work; Appendices: Some Useful Mathematical Facts; Elements of Qualitative Theory of ODE; Locally Optimal Control and Optimization. Readership: Graduate students, researchers, academics/lecturers and industrialists in neural networks.

Differential Neural Networks For Robust Nonlinear Control: Identification, State Estimation And Trajectory Tracking

Download Differential Neural Networks For Robust Nonlinear Control: Identification, State Estimation And Trajectory Tracking PDF Online Free

Author :
Publisher : World Scientific
ISBN 13 : 9814491020
Total Pages : 455 pages
Book Rating : 4.8/5 (144 download)

DOWNLOAD NOW!


Book Synopsis Differential Neural Networks For Robust Nonlinear Control: Identification, State Estimation And Trajectory Tracking by : Alex Poznyak

Download or read book Differential Neural Networks For Robust Nonlinear Control: Identification, State Estimation And Trajectory Tracking written by Alex Poznyak and published by World Scientific. This book was released on 2001-09-28 with total page 455 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book deals with continuous time dynamic neural networks theory applied to the solution of basic problems in robust control theory, including identification, state space estimation (based on neuro-observers) and trajectory tracking. The plants to be identified and controlled are assumed to be a priori unknown but belonging to a given class containing internal unmodelled dynamics and external perturbations as well. The error stability analysis and the corresponding error bounds for different problems are presented. The effectiveness of the suggested approach is illustrated by its application to various controlled physical systems (robotic, chaotic, chemical, etc.).

Advances in Neural Networks - ISNN 2004

Download Advances in Neural Networks - ISNN 2004 PDF Online Free

Author :
Publisher : Springer
ISBN 13 : 3540286489
Total Pages : 1054 pages
Book Rating : 4.5/5 (42 download)

DOWNLOAD NOW!


Book Synopsis Advances in Neural Networks - ISNN 2004 by : Fuliang Yin

Download or read book Advances in Neural Networks - ISNN 2004 written by Fuliang Yin and published by Springer. This book was released on 2011-04-07 with total page 1054 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the International Symposium on Neural N- works (ISNN 2004) held in Dalian, Liaoning, China duringAugust 19–21, 2004. ISNN 2004 received over 800 submissions from authors in ?ve continents (Asia, Europe, North America, South America, and Oceania), and 23 countries and regions (mainland China, Hong Kong, Taiwan, South Korea, Japan, Singapore, India, Iran, Israel, Turkey, Hungary, Poland, Germany, France, Belgium, Spain, UK, USA, Canada, Mexico, - nezuela, Chile, andAustralia). Based on reviews, the Program Committee selected 329 high-quality papers for presentation at ISNN 2004 and publication in the proceedings. The papers are organized into many topical sections under 11 major categories (theo- tical analysis; learning and optimization; support vector machines; blind source sepa- tion,independentcomponentanalysis,andprincipalcomponentanalysis;clusteringand classi?cation; robotics and control; telecommunications; signal, image and time series processing; detection, diagnostics, and computer security; biomedical applications; and other applications) covering the whole spectrum of the recent neural network research and development. In addition to the numerous contributed papers, ?ve distinguished scholars were invited to give plenary speeches at ISNN 2004. ISNN 2004 was an inaugural event. It brought together a few hundred researchers, educators,scientists,andpractitionerstothebeautifulcoastalcityDalianinnortheastern China. It provided an international forum for the participants to present new results, to discuss the state of the art, and to exchange information on emerging areas and future trends of neural network research. It also created a nice opportunity for the participants to meet colleagues and make friends who share similar research interests.

Modern Sliding Mode Control Theory

Download Modern Sliding Mode Control Theory PDF Online Free

Author :
Publisher : Springer Science & Business Media
ISBN 13 : 3540790152
Total Pages : 470 pages
Book Rating : 4.5/5 (47 download)

DOWNLOAD NOW!


Book Synopsis Modern Sliding Mode Control Theory by : Giorgio Bartolini

Download or read book Modern Sliding Mode Control Theory written by Giorgio Bartolini and published by Springer Science & Business Media. This book was released on 2008-04-24 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: This concise book covers modern sliding mode control theory. The authors identify key contributions defining the theoretical and applicative state-of-the-art of the sliding mode control theory and the most promising trends of the ongoing research activities.

Recent Advances in Intelligent Control Systems

Download Recent Advances in Intelligent Control Systems PDF Online Free

Author :
Publisher : Springer Science & Business Media
ISBN 13 : 184882548X
Total Pages : 381 pages
Book Rating : 4.8/5 (488 download)

DOWNLOAD NOW!


Book Synopsis Recent Advances in Intelligent Control Systems by : Wen Yu

Download or read book Recent Advances in Intelligent Control Systems written by Wen Yu and published by Springer Science & Business Media. This book was released on 2009-05-27 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Recent Advances in Intelligent Control Systems" gathers contributions from workers around the world and presents them in four categories according to the style of control employed: fuzzy control; neural control; fuzzy neural control; and intelligent control. The contributions illustrate the interdisciplinary antecedents of intelligent control and contrast its results with those of more traditional control methods. A variety of design examples, drawn primarily from robotics and mechatronics but also representing process and production engineering, large civil structures, network flows, and others, provide instances of the application of computational intelligence for control. Presenting state-of-the-art research, this collection will be of benefit to researchers in automatic control, automation, computer science (especially artificial intelligence) and mechatronics while graduate students and practicing control engineers working with intelligent systems will find it a good source of study material.

Reinforcement Learning and Approximate Dynamic Programming for Feedback Control

Download Reinforcement Learning and Approximate Dynamic Programming for Feedback Control PDF Online Free

Author :
Publisher : John Wiley & Sons
ISBN 13 : 1118453972
Total Pages : 498 pages
Book Rating : 4.1/5 (184 download)

DOWNLOAD NOW!


Book Synopsis Reinforcement Learning and Approximate Dynamic Programming for Feedback Control by : Frank L. Lewis

Download or read book Reinforcement Learning and Approximate Dynamic Programming for Feedback Control written by Frank L. Lewis and published by John Wiley & Sons. This book was released on 2013-01-28 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reinforcement learning (RL) and adaptive dynamic programming (ADP) has been one of the most critical research fields in science and engineering for modern complex systems. This book describes the latest RL and ADP techniques for decision and control in human engineered systems, covering both single player decision and control and multi-player games. Edited by the pioneers of RL and ADP research, the book brings together ideas and methods from many fields and provides an important and timely guidance on controlling a wide variety of systems, such as robots, industrial processes, and economic decision-making.

Artificial Intelligence and Industrial Applications

Download Artificial Intelligence and Industrial Applications PDF Online Free

Author :
Publisher : Springer Nature
ISBN 13 : 3030539709
Total Pages : 341 pages
Book Rating : 4.0/5 (35 download)

DOWNLOAD NOW!


Book Synopsis Artificial Intelligence and Industrial Applications by : Tawfik Masrour

Download or read book Artificial Intelligence and Industrial Applications written by Tawfik Masrour and published by Springer Nature. This book was released on 2020-07-18 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected papers from Artificial Intelligence and Industrial Applications (A2IA’2020), the first installment of an annual international conference organized by ENSAM-Meknes at Moulay Ismail University, Morocco. The 29 papers presented here were carefully reviewed and selected from 141 submissions by an international scientific committee. They address various aspects of artificial intelligence such as digital twin, multiagent systems, deep learning, image processing and analysis, control, prediction, modeling, optimization and design, as well as AI applications in industry, health, energy, agriculture, and education. The book is intended for AI experts, offering them a valuable overview and global outlook for the future, and highlights a wealth of innovative ideas and recent, important advances in AI applications, both of a foundational and practical nature. It will also appeal to non-experts who are curious about this timely and important subject.

Advances in Neural Networks -- ISNN 2011

Download Advances in Neural Networks -- ISNN 2011 PDF Online Free

Author :
Publisher : Springer Science & Business Media
ISBN 13 : 3642211100
Total Pages : 661 pages
Book Rating : 4.6/5 (422 download)

DOWNLOAD NOW!


Book Synopsis Advances in Neural Networks -- ISNN 2011 by : Derong Liu

Download or read book Advances in Neural Networks -- ISNN 2011 written by Derong Liu and published by Springer Science & Business Media. This book was released on 2011-05-10 with total page 661 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three-volume set LNCS 6675, 6676 and 6677 constitutes the refereed proceedings of the 8th International Symposium on Neural Networks, ISNN 2011, held in Guilin, China, in May/June 2011. The total of 215 papers presented in all three volumes were carefully reviewed and selected from 651 submissions. The contributions are structured in topical sections on computational neuroscience and cognitive science; neurodynamics and complex systems; stability and convergence analysis; neural network models; supervised learning and unsupervised learning; kernel methods and support vector machines; mixture models and clustering; visual perception and pattern recognition; motion, tracking and object recognition; natural scene analysis and speech recognition; neuromorphic hardware, fuzzy neural networks and robotics; multi-agent systems and adaptive dynamic programming; reinforcement learning and decision making; action and motor control; adaptive and hybrid intelligent systems; neuroinformatics and bioinformatics; information retrieval; data mining and knowledge discovery; and natural language processing.

Unmanned Driving Systems for Smart Trains

Download Unmanned Driving Systems for Smart Trains PDF Online Free

Author :
Publisher : Elsevier
ISBN 13 : 0323886353
Total Pages : 378 pages
Book Rating : 4.3/5 (238 download)

DOWNLOAD NOW!


Book Synopsis Unmanned Driving Systems for Smart Trains by : Hui Liu

Download or read book Unmanned Driving Systems for Smart Trains written by Hui Liu and published by Elsevier. This book was released on 2020-11-13 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unmanned Driving Systems for Smart Trains explores the core technologies involved in unmanned driving systems for smart railways and trains, from foundational theory to the latest advances. The volume introduces the key technologies, research results and frontiers of the field. Each chapter includes practical cases to ground theory in practice. Seven chapters cover key aspects of unmanned driving systems for smart trains, including performance evaluation, algorithm-based reasoning and learning strategy, main control parameters, data mining and processing, energy saving optimization and control, and intelligent algorithm simulation platforms. This book will help researchers find solutions in developing better unmanned driving systems. - Responds to the expansion of smart railways and the adoption of unmanned global systems - Covers core technologies of unmanned driving systems for smart trains - Details a large number of case studies and experimental designs for unmanned railway systems - Adopts a multidisciplinary view where disciplines intersect at key points - Gives both foundational theory and the latest theoretical and practical advances for unmanned railways

Bio-inspired Algorithms for Engineering

Download Bio-inspired Algorithms for Engineering PDF Online Free

Author :
Publisher : Butterworth-Heinemann
ISBN 13 : 0128137894
Total Pages : 154 pages
Book Rating : 4.1/5 (281 download)

DOWNLOAD NOW!


Book Synopsis Bio-inspired Algorithms for Engineering by : Nancy Arana-Daniel

Download or read book Bio-inspired Algorithms for Engineering written by Nancy Arana-Daniel and published by Butterworth-Heinemann. This book was released on 2018-02-03 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bio-inspired Algorithms for Engineering builds a bridge between the proposed bio-inspired algorithms developed in the past few decades and their applications in real-life problems, not only in an academic context, but also in the real world. The book proposes novel algorithms to solve real-life, complex problems, combining well-known bio-inspired algorithms with new concepts, including both rigorous analyses and unique applications. It covers both theoretical and practical methodologies, allowing readers to learn more about the implementation of bio-inspired algorithms. This book is a useful resource for both academic and industrial engineers working on artificial intelligence, robotics, machine learning, vision, classification, pattern recognition, identification and control. - Presents real-time implementation and simulation results for all the proposed schemes - Offers a comparative analysis and rigorous analysis of the convergence of proposed algorithms - Provides a guide for implementing each application at the end of each chapter - Includes illustrations, tables and figures that facilitate the reader's comprehension of the proposed schemes and applications

Artificial Higher Order Neural Networks for Modeling and Simulation

Download Artificial Higher Order Neural Networks for Modeling and Simulation PDF Online Free

Author :
Publisher : IGI Global
ISBN 13 : 1466621761
Total Pages : 455 pages
Book Rating : 4.4/5 (666 download)

DOWNLOAD NOW!


Book Synopsis Artificial Higher Order Neural Networks for Modeling and Simulation by : Zhang, Ming

Download or read book Artificial Higher Order Neural Networks for Modeling and Simulation written by Zhang, Ming and published by IGI Global. This book was released on 2012-10-31 with total page 455 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book introduces Higher Order Neural Networks (HONNs) to computer scientists and computer engineers as an open box neural networks tool when compared to traditional artificial neural networks"--Provided by publisher.

Network and Communication Technology Innovations for Web and IT Advancement

Download Network and Communication Technology Innovations for Web and IT Advancement PDF Online Free

Author :
Publisher : IGI Global
ISBN 13 : 1466621583
Total Pages : 455 pages
Book Rating : 4.4/5 (666 download)

DOWNLOAD NOW!


Book Synopsis Network and Communication Technology Innovations for Web and IT Advancement by : Alkhatib, Ghazi I.

Download or read book Network and Communication Technology Innovations for Web and IT Advancement written by Alkhatib, Ghazi I. and published by IGI Global. This book was released on 2012-10-31 with total page 455 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the steady stream of new web based information technologies being introduced to organizations, the need for network and communication technologies to provide an easy integration of knowledge and information sharing is essential. Network and Communication Technology Innovations for Web and IT Advancement presents studies on trends, developments, and methods on information technology advancements through network and communication technology. This collection brings together integrated approaches for communication technology and usage for web and IT advancements.

International Aerospace Abstracts

Download International Aerospace Abstracts PDF Online Free

Author :
Publisher :
ISBN 13 :
Total Pages : 920 pages
Book Rating : 4.F/5 ( download)

DOWNLOAD NOW!


Book Synopsis International Aerospace Abstracts by :

Download or read book International Aerospace Abstracts written by and published by . This book was released on 1998 with total page 920 pages. Available in PDF, EPUB and Kindle. Book excerpt:

System Identification and Adaptive Control

Download System Identification and Adaptive Control PDF Online Free

Author :
Publisher : Springer Science & Business
ISBN 13 : 3319063642
Total Pages : 316 pages
Book Rating : 4.3/5 (19 download)

DOWNLOAD NOW!


Book Synopsis System Identification and Adaptive Control by : Yiannis Boutalis

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.

Robust Adaptive Control

Download Robust Adaptive Control PDF Online Free

Author :
Publisher : Courier Corporation
ISBN 13 : 0486320723
Total Pages : 850 pages
Book Rating : 4.4/5 (863 download)

DOWNLOAD NOW!


Book Synopsis Robust Adaptive Control by : Petros Ioannou

Download or read book Robust Adaptive Control written by Petros Ioannou and published by Courier Corporation. This book was released on 2013-09-26 with total page 850 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presented in a tutorial style, this comprehensive treatment unifies, simplifies, and explains most of the techniques for designing and analyzing adaptive control systems. Numerous examples clarify procedures and methods. 1995 edition.

The British National Bibliography

Download The British National Bibliography PDF Online Free

Author :
Publisher :
ISBN 13 :
Total Pages : 1190 pages
Book Rating : 4.3/5 (91 download)

DOWNLOAD NOW!


Book Synopsis The British National Bibliography by : Arthur James Wells

Download or read book The British National Bibliography written by Arthur James Wells and published by . This book was released on 2002 with total page 1190 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Nonlinear System Identification

Download Nonlinear System Identification PDF Online Free

Author :
Publisher : Springer Science & Business Media
ISBN 13 : 3662043238
Total Pages : 785 pages
Book Rating : 4.6/5 (62 download)

DOWNLOAD NOW!


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 785 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.