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Analysis And Control Of Coupled Neural Networks With Reaction Diffusion Terms
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Book Synopsis Analysis and Control of Coupled Neural Networks with Reaction-Diffusion Terms by : Jin-Liang Wang
Download or read book Analysis and Control of Coupled Neural Networks with Reaction-Diffusion Terms written by Jin-Liang Wang and published by Springer. This book was released on 2017-06-07 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces selected recent findings on the analysis and control of dynamical behaviors for coupled reaction-diffusion neural networks. It presents novel research ideas and essential definitions concerning coupled reaction-diffusion neural networks, such as passivity, adaptive coupling, spatial diffusion coupling, and the relationship between synchronization and output strict passivity. Further, it gathers research results previously published in many flagship journals, presenting them in a unified form. As such, the book will be of interest to all university researchers and graduate students in Engineering and Mathematics who wish to study the dynamical behaviors of coupled reaction-diffusion neural networks.
Book Synopsis Passivity of Complex Dynamical Networks by : Jin-Liang Wang
Download or read book Passivity of Complex Dynamical Networks written by Jin-Liang Wang and published by Springer Nature. This book was released on 2020-12-12 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book intends to introduce some recent results on passivity of complex dynamical networks with single weight and multiple weights. The book collects novel research ideas and some definitions in complex dynamical networks, such as passivity, output strict passivity, input strict passivity, finite-time passivity, and multiple weights. Furthermore, the research results previously published in many flagship journals are methodically edited and presented in a unified form. The book is likely to be of interest to university researchers and graduate students in Engineering and Mathematics who wish to study the passivity of complex dynamical networks.
Book Synopsis Analysis and Control for Fractional-order Systems by : Yonggui Kao
Download or read book Analysis and Control for Fractional-order Systems written by Yonggui Kao and published by Springer Nature. This book was released on with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Qualitative Analysis and Control of Complex Neural Networks with Delays by : Zhanshan Wang
Download or read book Qualitative Analysis and Control of Complex Neural Networks with Delays written by Zhanshan Wang and published by Springer. This book was released on 2015-07-18 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the stability of the dynamical neural system, synchronization of the coupling neural system and their applications in automation control and electrical engineering. The redefined concept of stability, synchronization and consensus are adopted to provide a better explanation of the complex neural network. Researchers in the fields of dynamical systems, computer science, electrical engineering and mathematics will benefit from the discussions on complex systems. The book will also help readers to better understand the theory behind the control technique and its design.
Book Synopsis Analysis and Control of Output Synchronization for Complex Dynamical Networks by : Jin-Liang Wang
Download or read book Analysis and Control of Output Synchronization for Complex Dynamical Networks written by Jin-Liang Wang and published by Springer. This book was released on 2018-08-14 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces recent results on output synchronization of complex dynamical networks with single and multiple weights. It discusses novel research ideas and a number of definitions in complex dynamical networks, such as H-Infinity output synchronization, adaptive coupling weights, multiple weights, the relationship between output strict passivity and output synchronization. Furthermore, it methodically edits the research results previously published in various flagship journals and presents them in a unified form. The book is of interest to university researchers and graduate students in engineering and mathematics who wish to study output synchronization of complex dynamical networks.
Book Synopsis Recent Advances in Control Problems of Dynamical Systems and Networks by : Ju H. Park
Download or read book Recent Advances in Control Problems of Dynamical Systems and Networks written by Ju H. Park and published by Springer Nature. This book was released on 2020-08-11 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited book introduces readers to new analytical techniques and controller design schemes used to solve the emerging “hottest” problems in dynamic control systems and networks. In recent years, the study of dynamic systems and networks has faced major changes and challenges with the rapid advancement of IT technology, accompanied by the 4th Industrial Revolution. Many new factors that now have to be considered, and which haven’t been addressed from control engineering perspectives to date, are naturally emerging as the systems become more complex and networked. The general scope of this book includes the modeling of the system itself and uncertainty elements, examining stability under various criteria, and controller design techniques to achieve specific control objectives in various dynamic systems and networks. In terms of traditional stability matters, this includes the following special issues: finite-time stability and stabilization, consensus/synchronization, fault-tolerant control, event-triggered control, and sampled-data control for classical linear/nonlinear systems, interconnected systems, fractional-order systems, switched systems, neural networks, and complex networks. In terms of introducing graduate students and professional researchers studying control engineering and applied mathematics to the latest research trends in the areas mentioned above, this book offers an excellent guide.
Book Synopsis Dynamical Behaviors of Fractional-Order Complex Dynamical Networks by : Jin-Liang Wang
Download or read book Dynamical Behaviors of Fractional-Order Complex Dynamical Networks written by Jin-Liang Wang and published by Springer Nature. This book was released on with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Computational and Mathematical Models in Biology by : Carla M.A. Pinto
Download or read book Computational and Mathematical Models in Biology written by Carla M.A. Pinto and published by Springer Nature. This book was released on 2024-01-09 with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides the most valuable and updated research on computational and mathematical models in biological systems from influential researchers around the world and contributes to the development of future research guidelines in this topic. Topics include (but are not limited to): modeling infectious and dynamic diseases; regulation of cell function; biological pattern formation; biological networks; tumor growth and angiogenesis; complex biological systems; Monte Carlo methods; Control theory, optimization and their applications
Book Synopsis Fractional Order Systems by : Ivo Petráš
Download or read book Fractional Order Systems written by Ivo Petráš and published by MDPI. This book was released on 2019-10-29 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is focused on fractional order systems. Historically, fractional calculus has been recognized since the inception of regular calculus, with the first written reference dated in September 1695 in a letter from Leibniz to L’Hospital. Nowadays, fractional calculus has a wide area of applications in areas such as physics, chemistry, bioengineering, chaos theory, control systems engineering, and many others. In all those applications, we deal with fractional order systems in general. Moreover, fractional calculus plays an important role even in complex systems and therefore allows us to develop better descriptions of real-world phenomena. On that basis, fractional order systems are ubiquitous, as the whole real world around us is fractional. Due to this reason, it is urgent to consider almost all systems as fractional order systems. This Special Issue explores applications of such systems to control, synchronization, and various mathematical models, as for instance, MRI, long memory process, diffusion.
Book Synopsis Cooperative Control of Nonlinear Multiagent Systems by : Jin-Liang Wang
Download or read book Cooperative Control of Nonlinear Multiagent Systems written by Jin-Liang Wang and published by Elsevier. This book was released on 2024-11-05 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cooperative Control for Nonlinear Multiagent Systems: Passivity-Based and Non-Passivity-Based Approaches focuses on the cooperative control of nonlinear multiagent systems containing passivity-based or non-passivity-based consensus, lag consensus, and formation control of multiagent systems. The book provides professional and convenient guidance for those who want to know basic knowledge, advancements, and processes for designing and analyzing cooperative control for nonlinear multiagent systems.Currently, there are a lack of reference titles that systematically introduce students, researchers, and technologists to the backgrounds, developments, and designs protocols for cooperative control (contains passivity-based or not passivity-based consensus, lag consensus, formation control) of nonlinear multiagent systems. - Constructs the frameworks of passivity analysis, consensus control, lag consensus control, and formation control for multiagent systems - Helps readers learn novel control methods - Includes systematic introductions and detailed implementations on how control protocols solve problems in nonlinear multiagent systems
Book Synopsis Cognitive Systems and Information Processing by : Fuchun Sun
Download or read book Cognitive Systems and Information Processing written by Fuchun Sun and published by Springer Nature. This book was released on 2023-12-06 with total page 445 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set CCIS 1918 and 1919 constitutes the refereed post-conference proceedings of the 8th International Conference on Cognitive Systems and Information Processing, ICCSIP 2023, held in Luoyang, China, during August 10–12, 2023. The 52 full papers presented in these proceedings were carefully reviewed and selected from 136 submissions. The papers are organized in the following topical sections: Volume I : Award; Algorithm & Control; and Application. Volume II: Robotics & Bioinformatics; and Vision.
Book Synopsis Distributed Optimization, Game and Learning Algorithms by : Huiwei Wang
Download or read book Distributed Optimization, Game and Learning Algorithms written by Huiwei Wang and published by Springer Nature. This book was released on 2021-01-04 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides the fundamental theory of distributed optimization, game and learning. It includes those working directly in optimization,-and also many other issues like time-varying topology, communication delay, equality or inequality constraints,-and random projections. This book is meant for the researcher and engineer who uses distributed optimization, game and learning theory in fields like dynamic economic dispatch, demand response management and PHEV routing of smart grids.
Book Synopsis An Introduction to Neural Network Methods for Differential Equations by : Neha Yadav
Download or read book An Introduction to Neural Network Methods for Differential Equations written by Neha Yadav and published by Springer. This book was released on 2015-02-26 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces a variety of neural network methods for solving differential equations arising in science and engineering. The emphasis is placed on a deep understanding of the neural network techniques, which has been presented in a mostly heuristic and intuitive manner. This approach will enable the reader to understand the working, efficiency and shortcomings of each neural network technique for solving differential equations. The objective of this book is to provide the reader with a sound understanding of the foundations of neural networks and a comprehensive introduction to neural network methods for solving differential equations together with recent developments in the techniques and their applications. The book comprises four major sections. Section I consists of a brief overview of differential equations and the relevant physical problems arising in science and engineering. Section II illustrates the history of neural networks starting from their beginnings in the 1940s through to the renewed interest of the 1980s. A general introduction to neural networks and learning technologies is presented in Section III. This section also includes the description of the multilayer perceptron and its learning methods. In Section IV, the different neural network methods for solving differential equations are introduced, including discussion of the most recent developments in the field. Advanced students and researchers in mathematics, computer science and various disciplines in science and engineering will find this book a valuable reference source.
Book Synopsis Fractional Order Systems and Applications in Engineering by : Dumitru Baleanu
Download or read book Fractional Order Systems and Applications in Engineering written by Dumitru Baleanu and published by Academic Press. This book was released on 2022-11-17 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: Fractional Order Systems and Applications in Engineering presents the use of fractional calculus (calculus of non-integer order) in the description and modelling of systems and in a range of control design and practical applications. The book covers the fundamentals of fractional calculus together with some analytical and numerical techniques, and provides MATLAB® codes for the simulation of fractional-order control (FOC) systems. The use of fractional calculus can improve and generalize well-established control methods and strategies. Many different FOC schemes are presented for control and dynamic systems problems. These extend to the challenging control engineering design problems of robust and nonlinear control. Practical material relating to a wide variety of applications including, among others, mechatronics, civil engineering, irrigation and water management, and biological systems is also provided. All the control schemes and applications are presented with either system simulation results or real experimental results, or both. Fractional Order Systems and Applications in Engineering introduces readers to the essentials of FOC and imbues them with a basic understanding of FOC concepts and methods. With this knowledge readers can extend their use of FOC in other industrial system applications, thereby expanding their range of disciplines by exploiting this versatile new set of control techniques. - Provides the most recent and up-to-date developments on the Fractional-order Systems and their analyzing process - Integrates recent advancements of modeling of real phenomena (on Fractional-order Systems) via different-different mathematical equations with demonstrated applications in numerous seemingly diverse and widespread fields of science and engineering - Provides readers with illustrative examples of how to use the presented theories of Fractional-order Systems in specific cases with associated MATLAB code
Book Synopsis Mathematical Methods in Engineering and Applied Sciences by : Hemen Dutta
Download or read book Mathematical Methods in Engineering and Applied Sciences written by Hemen Dutta and published by CRC Press. This book was released on 2020-01-03 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers tools and techniques used for developing mathematical methods and modelling related to real-life situations. It brings forward significant aspects of mathematical research by using different mathematical methods such as analytical, computational, and numerical with relevance or applications in engineering and applied sciences. Presents theory, methods, and applications in a balanced manner Includes the basic developments with full details Contains the most recent advances and offers enough references for further study Written in a self-contained style and provides proof of necessary results Offers research problems to help early career researchers prepare research proposals Mathematical Methods in Engineering and Applied Sciences makes available for the audience, several relevant topics in one place necessary for crucial understanding of research problems of an applied nature. This should attract the attention of general readers, mathematicians, and engineers interested in new tools and techniques required for developing more accurate mathematical methods and modelling corresponding to real-life situations.
Book Synopsis Stability and Synchronization Control of Stochastic Neural Networks by : Wuneng Zhou
Download or read book Stability and Synchronization Control of Stochastic Neural Networks written by Wuneng Zhou and published by Springer. This book was released on 2015-08-13 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reports on the latest findings in the study of Stochastic Neural Networks (SNN). The book collects the novel model of the disturbance driven by Levy process, the research method of M-matrix, and the adaptive control method of the SNN in the context of stability and synchronization control. The book will be of interest to university researchers, graduate students in control science and engineering and neural networks who wish to learn the core principles, methods, algorithms and applications of SNN.
Book Synopsis Advances in Neural Networks – ISNN 2024 by : Xinyi Le
Download or read book Advances in Neural Networks – ISNN 2024 written by Xinyi Le and published by Springer Nature. This book was released on with total page 635 pages. Available in PDF, EPUB and Kindle. Book excerpt:
