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Hybrid L1 Adaptive Control: Applications of Fuzzy Modeling, Stochastic Optimization and Metaheuristics, Maiti Roshni, Das Sharma Kaushik, Sarkar Gautam


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Автор: Maiti Roshni, Das Sharma Kaushik, Sarkar Gautam
Название:  Hybrid L1 Adaptive Control: Applications of Fuzzy Modeling, Stochastic Optimization and Metaheuristics
ISBN: 9783030971014
Издательство: Springer
Классификация:



ISBN-10: 3030971015
Обложка/Формат: Hardcover
Страницы: 278
Вес: 0.57 кг.
Дата издания: 02.04.2022
Серия: Studies in systems, decision and control
Язык: English
Издание: 1st ed. 2022
Иллюстрации: 150 illustrations, color; 17 illustrations, black and white; xlii, 234 p. 167 illus., 150 illus. in color.
Размер: 23.39 x 15.60 x 1.75 cm
Читательская аудитория: Professional & vocational
Подзаголовок: Applications of fuzzy modeling, stochastic optimization and metaheuristics
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book details the designing of hybrid control strategies for practical systems containing time varying uncertainties, disturbances, nonlinearities, unknown parameters, unmodelled dynamics, delays, etc., concurrently. In this book, the advantages of different controllers will be brought together to produce superior control performance for the practical systems. Being aware of the advantages of adaptive controller to tackle unknown constant, time varying uncertainties and time varying disturbances, a variant of adaptive controller, namely L1 adaptive controller, is hybridized with other strategies. In this book, to facilitate optimal parameter setting of the basic L1 adaptive controller, stochastic optimization technique will be hybridized with it. The stability of the optimization technique along with the controller will be guaranteed analytically with the help of spectral radius convergence. The proposed method exhibits satisfactory exploration and exploitation capabilities. Again, this book will throw light on tackling nonlinearities along with uncertainties and disturbances by hybridizing fuzzy logic with L1 adaptive controller. The performances of the designed controllers will be compared with different control methodologies to validate their effectiveness. The overall stability of the nonlinear system with the designed controller will be guaranteed with the help of fuzzy Lyapunov function to retain the zonal behaviour of the system. This fuzzy PDC-L1 adaptive controller is efficient to tackle nonlinearities and at the same time cancels unknown constant, time varying uncertainties and time varying disturbances adequately. This book will also contain four simulation case studies to validate fruitfulness of the designed controllers. To demonstrate the superior control ability of these controllers in tackling practical system, three experimental case studies will also be provided.
Дополнительное описание: Introduction.- Basic L1 Adaptive Controller: A State Of The Art Study.- Hybrid L1 Adaptive Controller- I: Stochastic Optimization & Metaheuristics Based Approach.- Hybrid L1 Adaptive Controller- II: Fuzzy Parallel Distributed Compensation Based Approach.-



Search and Optimization by Metaheuristics: Techniques and Algorithms Inspired by Nature

Автор: Du Ke-Lin, Swamy M. N. S.
Название: Search and Optimization by Metaheuristics: Techniques and Algorithms Inspired by Nature
ISBN: 331982290X ISBN-13(EAN): 9783319822907
Издательство: Springer
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Цена: 8384.00 р.
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Описание: Preface.- Introduction.- Simulated Annealing.- Optimization by Recurrent Neural Networks.- Genetic Algorithms and Genetic Programming.- Evolutionary Strategies.- Differential Evolution.- Estimation of Distribution Algorithms.- Mimetic Algorithms.- Topics in EAs.- Particle Swarm Optimization.- Artificial Immune Systems.- Ant Colony Optimization.- Tabu Search and Scatter Search.- Bee Metaheuristics.- Harmony Search.- Biomolecular Computing.- Quantum Computing.- Other Heuristics-Inspired Optimization Methods.- Dynamic, Multimodal, and Constraint-Satisfaction Optimizations.- Multiobjective Optimization.- Appendix 1: Discrete Benchmark Functions.- Appendix 2: Test Functions.- Index.

Metaheuristics and Optimization in Computer and Electrical Engineering

Автор: Razmjooy Navid, Ashourian Mohsen, Foroozandeh Zahra
Название: Metaheuristics and Optimization in Computer and Electrical Engineering
ISBN: 3030566919 ISBN-13(EAN): 9783030566913
Издательство: Springer
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Цена: 18167.00 р.
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Описание: The use of artificial intelligence, especially in the field of optimization is increasing day by day. The purpose of this book is to explore the possibility of using different kinds of optimization algorithms to advance and enhance the tools used for computer and electrical engineering purposes.

Optimization Models in Steganography Using Metaheuristics

Автор: Sarmah Dipti Kapoor, Kulkarni Anand J., Abraham Ajith
Название: Optimization Models in Steganography Using Metaheuristics
ISBN: 3030420434 ISBN-13(EAN): 9783030420437
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This book explores the use of a socio-inspired optimization algorithm (the Cohort Intelligence algorithm), along with Cognitive Computing and a Multi-Random Start Local Search optimization algorithm.

Advances in Metaheuristics Algorithms: Methods and Applications

Автор: Cuevas
Название: Advances in Metaheuristics Algorithms: Methods and Applications
ISBN: 3319893084 ISBN-13(EAN): 9783319893082
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This book explores new alternative metaheuristic developments that have proved to be effective in their application to several complex problems.

Metaheuristics for Bi-level Optimization

Автор: El-Ghazali Talbi
Название: Metaheuristics for Bi-level Optimization
ISBN: 3642442250 ISBN-13(EAN): 9783642442254
Издательство: Springer
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Цена: 20896.00 р.
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Описание: This book provides a complete background on metaheuristics to solve complex bi-level optimization problems in a diverse range of application domains. It includes numerous examples that demonstrate how metaheuristics are applied in the real-world.

Metaheuristics for Combinatorial Optimization

Автор: Greco Salvatore, Pavone Mario F., Talbi El-Ghazali
Название: Metaheuristics for Combinatorial Optimization
ISBN: 3030685195 ISBN-13(EAN): 9783030685195
Издательство: Springer
Цена: 25155.00 р.
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Описание: This accessible guide will tell you everything you need to know about parenting a child with a hidden condition, such as autism, dyspraxia, ADHD or bipolar, whether or not a formal diagnosis has been received. With information on various conditions and diagnoses, it includes candid advice and strategies from parents as well as young adults who grew up with a hidden condition themselves.

Advances in Metaheuristics for Hard Optimization

Автор: Patrick Siarry; Zbigniew Michalewicz
Название: Advances in Metaheuristics for Hard Optimization
ISBN: 3642092063 ISBN-13(EAN): 9783642092060
Издательство: Springer
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Цена: 23058.00 р.
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Описание: The editors, both leading experts in this field, have assembled a team of researchers to contribute 21 chapters organized into parts on simulated annealing, tabu search, ant colony algorithms, general purpose studies of evolutionary algorithms, applications of evolutionary algorithms, and metaheuristics.

Hybrid Metaheuristics: Research and Applications

Автор: Bhattacharyya Siddhartha
Название: Hybrid Metaheuristics: Research and Applications
ISBN: 9813270225 ISBN-13(EAN): 9789813270220
Издательство: World Scientific Publishing
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Цена: 17424.00 р.
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Описание:

A metaheuristic is a higher-level procedure designed to select a partial search algorithm that may lead to a good solution to an optimization problem, especially with incomplete or imperfect information.

This unique compendium focuses on the insights of hybrid metaheuristics. It illustrates the recent researches on evolving novel hybrid metaheuristic algorithms, and prominently highlights its diverse application areas. As such, the book helps readers to grasp the essentials of hybrid metaheuristics and to address real world problems.

The must-have volume serves as an inspiring read for professionals, researchers, academics and graduate students in the fields of artificial intelligence, robotics and machine learning.

Machine Learning and Metaheuristics Algorithms, and Applications: First Symposium, Somma 2019, Trivandrum, India, December 18-21, 2019, Revised Select

Автор: Thampi Sabu M., Trajkovic Ljiljana, Li Kuan-Ching
Название: Machine Learning and Metaheuristics Algorithms, and Applications: First Symposium, Somma 2019, Trivandrum, India, December 18-21, 2019, Revised Select
ISBN: 9811543003 ISBN-13(EAN): 9789811543005
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book constitutes the refereed proceedings of the First Symposium on Machine Learning and Metaheuristics Algorithms, and Applications, held in Trivandrum, India, in December 2019. The 17 full papers and 6 short papers presented in this volume were thoroughly reviewed and selected from 53 qualified submissions.

Applications of Metaheuristics in Process Engineering

Автор: Jayaraman Valadi; Patrick Siarry
Название: Applications of Metaheuristics in Process Engineering
ISBN: 3319357042 ISBN-13(EAN): 9783319357041
Издательство: Springer
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Цена: 13275.00 р.
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Описание: Metaheuristics exhibit desirable properties like simplicity, easy parallelizability and ready applicability to different types of optimization problems such as real parameter optimization, combinatorial optimization and mixed integer optimization.

Advances in Metaheuristics Algorithms: Methods and Applications

Автор: Erik Cuevas; Daniel Zald?var; Marco P?rez-Cisneros
Название: Advances in Metaheuristics Algorithms: Methods and Applications
ISBN: 3030077365 ISBN-13(EAN): 9783030077365
Издательство: Springer
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Цена: 13974.00 р.
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Описание:

This book explores new alternative metaheuristic developments that have proved to be effective in their application to several complex problems. Though most of the new metaheuristic algorithms considered offer promising results, they are nevertheless still in their infancy. To grow and attain their full potential, new metaheuristic methods must be applied in a great variety of problems and contexts, so that they not only perform well in their reported sets of optimization problems, but also in new complex formulations. The only way to accomplish this is to disseminate these methods in various technical areas as optimization tools. In general, once a scientist, engineer or practitioner recognizes a problem as a particular instance of a more generic class, he/she can select one of several metaheuristic algorithms that guarantee an expected optimization performance. Unfortunately, the set of options are concentrated on algorithms whose popularity and high proliferation outstrip those of the new developments. This structure is important, because the authors recognize this methodology as the best way to help researchers, lecturers, engineers and practitioners solve their own optimization problems.
An Introduction to Metaheuristics for Optimization

Автор: Chopard Bastien, Tomassini Marco
Название: An Introduction to Metaheuristics for Optimization
ISBN: 3319930729 ISBN-13(EAN): 9783319930725
Издательство: Springer
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Цена: 6986.00 р.
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Описание: The authors stress the relative simplicity, efficiency, flexibility of use, and suitability of various approaches used to solve difficult optimization problems. This textbook is a suitable introduction for undergraduate and graduate students, researchers, and professionals in computer science, engineering, and logistics.


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