Advances In Derivative Free State Estimation For Nonlinear Systems

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Proceedings of the 6th International Conference on Hydroinformatics

Author : Shie-Yui Liong
Publisher : World Scientific
ISBN 13 : 9812387870
Total Pages : 2073 pages
Book Rating : 4.8/5 (123 download)

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Book Synopsis Proceedings of the 6th International Conference on Hydroinformatics by : Shie-Yui Liong

Download or read book Proceedings of the 6th International Conference on Hydroinformatics written by Shie-Yui Liong and published by World Scientific. This book was released on 2004-01-01 with total page 2073 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hydroinformatics addresses cross-disciplinary issues ranging from technological and sociological to more general environmental concerns, including an ethical perspective. It covers the application of information technology in the widest sense to problems of the aquatic environment.This two-volume publication contains about 250 high quality papers contributed by authors from over 50 countries. The proceedings present many exciting new findings in the emerging subjects, as well as their applications, such as: data mining, data assimilation, artificial neural networks, fuzzy logic, genetic algorithms and genetic programming, chaos theory and support vector machines, geographic information systems and virtual imaging, decision support and management systems, Internet-based technologies.This book provides an excellent reference to researchers, graduate students, practitioners, and all those interested in the field of hydroinformatics.

Author :
Publisher : World Scientific
ISBN 13 :
Total Pages : 1054 pages
Book Rating : 4./5 ( download)

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Download or read book written by and published by World Scientific. This book was released on with total page 1054 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Advances in Cooperative Control and Optimization

Author : Michael Hirsch
Publisher : Springer Science & Business Media
ISBN 13 : 3540743545
Total Pages : 422 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Advances in Cooperative Control and Optimization by : Michael Hirsch

Download or read book Advances in Cooperative Control and Optimization written by Michael Hirsch and published by Springer Science & Business Media. This book was released on 2007-09-20 with total page 422 pages. Available in PDF, EPUB and Kindle. Book excerpt: Across the globe, the past several years have seen a tremendous increase in the role of cooperative autonomous systems. The field of cooperative control and optimization has established itself as a part of many different scientific disciplines. The contents of this hugely important volume, which adds much to the debate on the subject, are culled from papers presented at the Seventh Annual International Conference on Cooperative Control and Optimization, held in Gainesville, Florida, in January 2007.

State Estimation for Nonlinear Continuous–Discrete Stochastic Systems

Author : Gennady Yu. Kulikov
Publisher : Springer Nature
ISBN 13 : 3031613716
Total Pages : 813 pages
Book Rating : 4.0/5 (316 download)

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Book Synopsis State Estimation for Nonlinear Continuous–Discrete Stochastic Systems by : Gennady Yu. Kulikov

Download or read book State Estimation for Nonlinear Continuous–Discrete Stochastic Systems written by Gennady Yu. Kulikov and published by Springer Nature. This book was released on with total page 813 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Computational Intelligence

Author : Juan Julian Merelo
Publisher : Springer
ISBN 13 : 3319263935
Total Pages : 418 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Computational Intelligence by : Juan Julian Merelo

Download or read book Computational Intelligence written by Juan Julian Merelo and published by Springer. This book was released on 2015-11-30 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: The present book includes a set of selected extended papers from the sixth International Joint Conference on Computational Intelligence (IJCCI 2014), held in Rome, Italy, from 22 to 24 October 2014. The conference was composed by three co-located conferences: The International Conference on Evolutionary Computation Theory and Applications (ECTA), the International Conference on Fuzzy Computation Theory and Applications (FCTA), and the International Conference on Neural Computation Theory and Applications (NCTA). Recent progresses in scientific developments and applications in these three areas are reported in this book. IJCCI received 210 submissions, from 51 countries, in all continents. After a double blind paper review performed by the Program Committee, 15% were accepted as full papers and thus selected for oral presentation. Additional papers were accepted as short papers and posters. A further selection was made after the Conference, based also on the assessment of presentation quality and audience interest, so that this book includes the extended and revised versions of the very best papers of IJCCI 2014. Commitment to high quality standards is a major concern of IJCCI that will be maintained in the next editions, considering not only the stringent paper acceptance ratios but also the quality of the program committee, keynote lectures, participation level and logistics.

Optimal State Estimation

Author : Dan Simon
Publisher : John Wiley & Sons
ISBN 13 : 0470045337
Total Pages : 554 pages
Book Rating : 4.4/5 (7 download)

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Book Synopsis Optimal State Estimation by : Dan Simon

Download or read book Optimal State Estimation written by Dan Simon and published by John Wiley & Sons. This book was released on 2006-06-19 with total page 554 pages. Available in PDF, EPUB and Kindle. Book excerpt: A bottom-up approach that enables readers to master and apply the latest techniques in state estimation This book offers the best mathematical approaches to estimating the state of a general system. The author presents state estimation theory clearly and rigorously, providing the right amount of advanced material, recent research results, and references to enable the reader to apply state estimation techniques confidently across a variety of fields in science and engineering. While there are other textbooks that treat state estimation, this one offers special features and a unique perspective and pedagogical approach that speed learning: * Straightforward, bottom-up approach begins with basic concepts and then builds step by step to more advanced topics for a clear understanding of state estimation * Simple examples and problems that require only paper and pen to solve lead to an intuitive understanding of how theory works in practice * MATLAB(r)-based source code that corresponds to examples in the book, available on the author's Web site, enables readers to recreate results and experiment with other simulation setups and parameters Armed with a solid foundation in the basics, readers are presented with a careful treatment of advanced topics, including unscented filtering, high order nonlinear filtering, particle filtering, constrained state estimation, reduced order filtering, robust Kalman filtering, and mixed Kalman/H? filtering. Problems at the end of each chapter include both written exercises and computer exercises. Written exercises focus on improving the reader's understanding of theory and key concepts, whereas computer exercises help readers apply theory to problems similar to ones they are likely to encounter in industry. With its expert blend of theory and practice, coupled with its presentation of recent research results, Optimal State Estimation is strongly recommended for undergraduate and graduate-level courses in optimal control and state estimation theory. It also serves as a reference for engineers and science professionals across a wide array of industries.

Kalman Filtering and Neural Networks

Author : Simon Haykin
Publisher : John Wiley & Sons
ISBN 13 : 047146421X
Total Pages : 302 pages
Book Rating : 4.4/5 (714 download)

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Book Synopsis Kalman Filtering and Neural Networks by : Simon Haykin

Download or read book Kalman Filtering and Neural Networks written by Simon Haykin and published by John Wiley & Sons. This book was released on 2004-03-24 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: State-of-the-art coverage of Kalman filter methods for the design of neural networks This self-contained book consists of seven chapters by expert contributors that discuss Kalman filtering as applied to the training and use of neural networks. Although the traditional approach to the subject is almost always linear, this book recognizes and deals with the fact that real problems are most often nonlinear. The first chapter offers an introductory treatment of Kalman filters with an emphasis on basic Kalman filter theory, Rauch-Tung-Striebel smoother, and the extended Kalman filter. Other chapters cover: An algorithm for the training of feedforward and recurrent multilayered perceptrons, based on the decoupled extended Kalman filter (DEKF) Applications of the DEKF learning algorithm to the study of image sequences and the dynamic reconstruction of chaotic processes The dual estimation problem Stochastic nonlinear dynamics: the expectation-maximization (EM) algorithm and the extended Kalman smoothing (EKS) algorithm The unscented Kalman filter Each chapter, with the exception of the introduction, includes illustrative applications of the learning algorithms described here, some of which involve the use of simulated and real-life data. Kalman Filtering and Neural Networks serves as an expert resource for researchers in neural networks and nonlinear dynamical systems.

Nonlinear Filters

Author : Peyman Setoodeh
Publisher : John Wiley & Sons
ISBN 13 : 1119078156
Total Pages : 308 pages
Book Rating : 4.1/5 (19 download)

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Book Synopsis Nonlinear Filters by : Peyman Setoodeh

Download or read book Nonlinear Filters written by Peyman Setoodeh and published by John Wiley & Sons. This book was released on 2022-03-04 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: NONLINEAR FILTERS Discover the utility of using deep learning and (deep) reinforcement learning in deriving filtering algorithms with this insightful and powerful new resource Nonlinear Filters: Theory and Applications delivers an insightful view on state and parameter estimation by merging ideas from control theory, statistical signal processing, and machine learning. Taking an algorithmic approach, the book covers both classic and machine learning-based filtering algorithms. Readers of Nonlinear Filters will greatly benefit from the wide spectrum of presented topics including stability, robustness, computability, and algorithmic sufficiency. Readers will also enjoy: Organization that allows the book to act as a stand-alone, self-contained reference A thorough exploration of the notion of observability, nonlinear observers, and the theory of optimal nonlinear filtering that bridges the gap between different science and engineering disciplines A profound account of Bayesian filters including Kalman filter and its variants as well as particle filter A rigorous derivation of the smooth variable structure filter as a predictor-corrector estimator formulated based on a stability theorem, used to confine the estimated states within a neighborhood of their true values A concise tutorial on deep learning and reinforcement learning A detailed presentation of the expectation maximization algorithm and its machine learning-based variants, used for joint state and parameter estimation Guidelines for constructing nonparametric Bayesian models from parametric ones Perfect for researchers, professors, and graduate students in engineering, computer science, applied mathematics, and artificial intelligence, Nonlinear Filters: Theory and Applications will also earn a place in the libraries of those studying or practicing in fields involving pandemic diseases, cybersecurity, information fusion, augmented reality, autonomous driving, urban traffic network, navigation and tracking, robotics, power systems, hybrid technologies, and finance.

Bayesian Estimation and Tracking

Author : Anton J. Haug
Publisher : John Wiley & Sons
ISBN 13 : 1118287800
Total Pages : 400 pages
Book Rating : 4.1/5 (182 download)

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Book Synopsis Bayesian Estimation and Tracking by : Anton J. Haug

Download or read book Bayesian Estimation and Tracking written by Anton J. Haug and published by John Wiley & Sons. This book was released on 2012-05-29 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical approach to estimating and tracking dynamic systems in real-worl applications Much of the literature on performing estimation for non-Gaussian systems is short on practical methodology, while Gaussian methods often lack a cohesive derivation. Bayesian Estimation and Tracking addresses the gap in the field on both accounts, providing readers with a comprehensive overview of methods for estimating both linear and nonlinear dynamic systems driven by Gaussian and non-Gaussian noices. Featuring a unified approach to Bayesian estimation and tracking, the book emphasizes the derivation of all tracking algorithms within a Bayesian framework and describes effective numerical methods for evaluating density-weighted integrals, including linear and nonlinear Kalman filters for Gaussian-weighted integrals and particle filters for non-Gaussian cases. The author first emphasizes detailed derivations from first principles of eeach estimation method and goes on to use illustrative and detailed step-by-step instructions for each method that makes coding of the tracking filter simple and easy to understand. Case studies are employed to showcase applications of the discussed topics. In addition, the book supplies block diagrams for each algorithm, allowing readers to develop their own MATLAB® toolbox of estimation methods. Bayesian Estimation and Tracking is an excellent book for courses on estimation and tracking methods at the graduate level. The book also serves as a valuable reference for research scientists, mathematicians, and engineers seeking a deeper understanding of the topics.

Discrete-Time Inverse Optimal Control for Nonlinear Systems

Author : Edgar N. Sanchez
Publisher : CRC Press
ISBN 13 : 1351831801
Total Pages : 270 pages
Book Rating : 4.3/5 (518 download)

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Book Synopsis Discrete-Time Inverse Optimal Control for Nonlinear Systems by : Edgar N. Sanchez

Download or read book Discrete-Time Inverse Optimal Control for Nonlinear Systems written by Edgar N. Sanchez and published by CRC Press. This book was released on 2017-12-19 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discrete-Time Inverse Optimal Control for Nonlinear Systems proposes a novel inverse optimal control scheme for stabilization and trajectory tracking of discrete-time nonlinear systems. This avoids the need to solve the associated Hamilton-Jacobi-Bellman equation and minimizes a cost functional, resulting in a more efficient controller. Design More Efficient Controllers for Stabilization and Trajectory Tracking of Discrete-Time Nonlinear Systems The book presents two approaches for controller synthesis: the first based on passivity theory and the second on a control Lyapunov function (CLF). The synthesized discrete-time optimal controller can be directly implemented in real-time systems. The book also proposes the use of recurrent neural networks to model discrete-time nonlinear systems. Combined with the inverse optimal control approach, such models constitute a powerful tool to deal with uncertainties such as unmodeled dynamics and disturbances. Learn from Simulations and an In-Depth Case Study The authors include a variety of simulations to illustrate the effectiveness of the synthesized controllers for stabilization and trajectory tracking of discrete-time nonlinear systems. An in-depth case study applies the control schemes to glycemic control in patients with type 1 diabetes mellitus, to calculate the adequate insulin delivery rate required to prevent hyperglycemia and hypoglycemia levels. The discrete-time optimal and robust control techniques proposed can be used in a range of industrial applications, from aerospace and energy to biomedical and electromechanical systems. Highlighting optimal and efficient control algorithms, this is a valuable resource for researchers, engineers, and students working in nonlinear system control.

MICAI 2008: Advances in Artificial Intelligence

Author : Alexander Gelbukh
Publisher : Springer Science & Business Media
ISBN 13 : 3540886354
Total Pages : 1058 pages
Book Rating : 4.5/5 (48 download)

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Book Synopsis MICAI 2008: Advances in Artificial Intelligence by : Alexander Gelbukh

Download or read book MICAI 2008: Advances in Artificial Intelligence written by Alexander Gelbukh and published by Springer Science & Business Media. This book was released on 2008-10-07 with total page 1058 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Mexican International Conference on Artificial Intelligence (MICAI), a yearly international conference series organized by the Mexican Society for Artificial Intel- gence (SMIA), is a major international AI forum and the main event in the academic life of the country’s growing AI community. In 2008 Mexico celebrates the 50th an- versary of development of computer science in the country: in 1958 the first computer was installed at the National Autonomous University of Mexico (UNAM). Nowadays, computer science is the country’s fastest growing research area. The proceedings of the previous MICAI events were published by Springer in its Lecture Notes in Artificial Intelligence (LNAI) series, vol. 1793, 2313, 2972, 3789, 4293, and 4827. Since its foundation in 2000, the conference has been growing in popularity, and improving in quality. This volume contains the papers presented at the oral session of the 7th Mexican International Conference on Artificial Intelligence, MICAI 2008, held October 27–31, 2008, in Atizapán de Zaragoza, Mexico. The conference received for evaluation 363 submissions by 1,032 authors from 43 countries (see Tables 1 and 2). This volume contains revised versions of 94 papers by 308 authors from 28 countries selected - cording to the results of an international reviewing process. Thus the acceptance rate was 25.9%. The book is structured into 20 thematic fields representative of the main current areas of interest for the AI community, plus a section of invited papers:

System Identification (SYSID '03)

Author : Paul Van Den Hof
Publisher : Elsevier
ISBN 13 : 9780080437095
Total Pages : 2080 pages
Book Rating : 4.4/5 (37 download)

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Book Synopsis System Identification (SYSID '03) by : Paul Van Den Hof

Download or read book System Identification (SYSID '03) written by Paul Van Den Hof and published by Elsevier. This book was released on 2004-06-29 with total page 2080 pages. Available in PDF, EPUB and Kindle. Book excerpt: The scope of the symposium covers all major aspects of system identification, experimental modelling, signal processing and adaptive control, ranging from theoretical, methodological and scientific developments to a large variety of (engineering) application areas. It is the intention of the organizers to promote SYSID 2003 as a meeting place where scientists and engineers from several research communities can meet to discuss issues related to these areas. Relevant topics for the symposium program include: Identification of linear and multivariable systems, identification of nonlinear systems, including neural networks, identification of hybrid and distributed systems, Identification for control, experimental modelling in process control, vibration and modal analysis, model validation, monitoring and fault detection, signal processing and communication, parameter estimation and inverse modelling, statistical analysis and uncertainty bounding, adaptive control and data-based controller tuning, learning, data mining and Bayesian approaches, sequential Monte Carlo methods, including particle filtering, applications in process control systems, motion control systems, robotics, aerospace systems, bioengineering and medical systems, physical measurement systems, automotive systems, econometrics, transportation and communication systems *Provides the latest research on System Identification *Contains contributions written by experts in the field *Part of the IFAC Proceedings Series which provides a comprehensive overview of the major topics in control engineering.

Recent Advances in Mechatronics

Author : Tomas Brezina
Publisher : Springer Science & Business Media
ISBN 13 : 3642050220
Total Pages : 456 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Recent Advances in Mechatronics by : Tomas Brezina

Download or read book Recent Advances in Mechatronics written by Tomas Brezina and published by Springer Science & Business Media. This book was released on 2009-11-29 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mechatronics is a synergic discipline integrating precise mechanics, electrotechnics, electronics and IT technologies. The main goal of mechatronical approach to design of complex products is to achieve new quality of their utility value at reasonable price. Successful accomplishment of this task would not be possible without application of advanced software and hardware tools for simulation of design, technologies and production control and also for simulation of behavior of these products in order to provide the highest possible level of spatial and functional integration of the final product. This book brings a review of the current state of the art in mechatronics, as presented at the 8th International Conference Mechatronics 2009, organized by the Brno Technical University, Faculty of Mechanical Engineering, Czech Republic. The specific topics of the conference are Modelling and Simulation, Metrology & Diagnostics, Sensorics & Photonics, Control & Robotics, MEMS Design & Mechatronic Products, Production Machines and Biomechanics. The selected contributions provide an insight into the current development of these scientific disciplines, present the new results of research and development and indicate the trends of development in the interdisciplinary field of mechatronic systems. Therefore, the book provides the latest and helpful information both for the R&D specialists and for the designers working in mechatronics and related fields.

Advances in Information Communication Technology and Computing

Author : Vishal Goar
Publisher : Springer Nature
ISBN 13 : 9811554218
Total Pages : 559 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Advances in Information Communication Technology and Computing by : Vishal Goar

Download or read book Advances in Information Communication Technology and Computing written by Vishal Goar and published by Springer Nature. This book was released on 2020-08-18 with total page 559 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features selected research papers presented at the International Conference on Advances in Information Communication Technology and Computing (AICTC 2019), held at the Government Engineering College Bikaner, Bikaner, India, on 8–9 November 2019. It covers ICT-based approaches in the areas ICT for energy efficiency, life cycle assessment of ICT, green IT, green information systems, environmental informatics, energy informatics, sustainable HCI and computational sustainability.

Ubiquitous Computing Systems

Author : Hee Yong Youn
Publisher : Springer Science & Business Media
ISBN 13 : 3540462872
Total Pages : 562 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Ubiquitous Computing Systems by : Hee Yong Youn

Download or read book Ubiquitous Computing Systems written by Hee Yong Youn and published by Springer Science & Business Media. This book was released on 2006-09-22 with total page 562 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Third International Symposium on Ubiquitous Computing Systems, UCS 2006, held in Seoul, Korea in October 2006. The 41 revised full papers presented were carefully reviewed and selected from 359 submissions. The papers are organized in topical sections on human computer interaction modeling and social aspects systems communications, as well as smart devices and security.

Mechatronics

Author : Ryszard Jabloński
Publisher : Springer Science & Business Media
ISBN 13 : 3642232442
Total Pages : 742 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Mechatronics by : Ryszard Jabloński

Download or read book Mechatronics written by Ryszard Jabloński and published by Springer Science & Business Media. This book was released on 2011-09-25 with total page 742 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book “Mechatronics: Recent Technological and Scientific Advances” provides comprehensive and accessible coverage of the evolving disciplines of mechatronics for nanotechnology, automatic control & robotics, biomedical engineering, design manufacturing and testing of MEMS, metrology, photonics, mechatronic products majors. It is already the third volume following the previous editions in 2007 and 2009 providing a recent state of advances in mechatronics presented on the 9th International Conference Mechatronics 2011, hosted this year at the Faculty of Mechatronics, Warsaw University of Technology, Poland. The carefully selected contributions give an insight into the current development of these scientific disciplines, present the new results of research and development and indicate the trends of development in the interdisciplinary field of mechatronics systems. Even though many people believe that the presence of mechanical, electrical, electronic components, and computers make a system mechatronics, others do not feel the same as there is nothing wrong with the individual identity. The enclosed material is original, and reflects the main research tendencies and developments in mechatronics among Mechatronics 2011 contributing countries. It helps to acquire the mix of skills needed to comprehend and design mechatronic systems and also provides with the frame of understanding to develop a truly interdisciplinary and integrated approach to engineering. The enclosed material is original, and reflects the main research tendencies and developments in mechatronics among Mechatronics 2011 contributing countries. It helps to acquire the mix of skills needed to comprehend and design mechatronic systems and also provides with the frame of understanding to develop a truly interdisciplinary and integrated approach to engineering.

Limitations and Future Trends in Neural Computation

Author : Sergey Ablameyko
Publisher : IOS Press
ISBN 13 : 9781586033248
Total Pages : 262 pages
Book Rating : 4.0/5 (332 download)

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Book Synopsis Limitations and Future Trends in Neural Computation by : Sergey Ablameyko

Download or read book Limitations and Future Trends in Neural Computation written by Sergey Ablameyko and published by IOS Press. This book was released on 2003 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work reports critical analyses on complexity issues in the continuum setting and on generalization to new examples, which are two basic milestones in learning from examples in connectionist models. It also covers up-to-date developments in computational mathematics.