Описание: It originated from computational neuroscience and machine learning but has, in recent years, spread dramatically, and has been introduced into a wide variety of fields, including complex systems science, physics, material science, biological science, quantum machine learning, optical communication systems, and robotics.
Описание: This book explains the essentials of fractional calculus and demonstrates its application in control system modeling, analysis and design. It presents original research to find high-precision solutions to fractional-order differentiations and differential equations. Numerical algorithms and their implementations are proposed to analyze multivariable fractional-order control systems. Through high-quality MATLAB programs, it provides engineers and applied mathematicians with theoretical and numerical tools to design control systems. ContentsIntroduction to fractional calculus and fractional-order controlMathematical prerequisitesDefinitions and computation algorithms of fractional-order derivatives and IntegralsSolutions of linear fractional-order differential equationsApproximation of fractional-order operatorsModelling and analysis of multivariable fractional-order transfer function MatricesState space modelling and analysis of linear fractional-order SystemsNumerical solutions of nonlinear fractional-order differential EquationsDesign of fractional-order PID controllersFrequency domain controller design for multivariable fractional-order SystemsInverse Laplace transforms involving fractional and irrational OperationsFOTF Toolbox functions and modelsBenchmark problems for the assessment of fractional-order differential equation algorithms
Автор: Bello Название: Algorithms and VLSI Implementations of MIMO Detection ISBN: 3031045114 ISBN-13(EAN): 9783031045110 Издательство: Springer Рейтинг: Цена: 11878.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a detailed overview of detection algorithms for multiple-input multiple-output (MIMO) communications systems focusing on their hardware realisation. The book begins by analysing the maximum likelihood detector, which provides the optimal bit error rate performance in an uncoded communications system. However, the maximum likelihood detector experiences a high complexity that scales exponentially with the number of antennas, which makes it impractical for real-time communications systems. The authors proceed to discuss lower-complexity detection algorithms such as zero-forcing, sphere decoding, and the K-best algorithm, with the aid of detailed algorithmic analysis and several MATLAB code examples. Furthermore, different design examples of MIMO detection algorithms and their hardware implementation results are presented and discussed. Finally, an ASIC design flow for implementing MIMO detection algorithms in hardware is provided, including the system simulation and modelling steps and register transfer level modelling using hardware description languages. * Provides an overview of MIMO detection algorithms and discusses their corresponding hardware implementations in detail; * Highlights architectural considerations of MIMO detectors in achieving low power consumption and high throughput; * Discusses design tradeoffs that will guide readers’ efforts when implementing MIMO algorithms in hardware; * Describes a broad range of implementations of different MIMO detectors, enabling readers to make informed design decisions based on their application requirements.
Автор: K. Sridharan; Panakala Rajesh Kumar Название: Robotic Exploration and Landmark Determination ISBN: 3642094651 ISBN-13(EAN): 9783642094651 Издательство: Springer Рейтинг: Цена: 16977.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents hardware-efficient algorithms and FPGA implementations for two robotic tasks, namely exploration and landmark determination. The work identifies scenarios for mobile robotics where parallel processing and selective shutdown offered by FPGAs are invaluable.
Автор: Amitava Chatterjee; Anjan Rakshit; N. Nirmal Singh Название: Vision Based Autonomous Robot Navigation ISBN: 3642426700 ISBN-13(EAN): 9783642426704 Издательство: Springer Рейтинг: Цена: 16977.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers the theory and development of autonomous navigation of mobile robots using computer vision based sensing mechanism. It details several new approaches for real life vision based autonomous navigation algorithms.
Автор: Chatterjee Название: Vision Based Autonomous Robot Navigation ISBN: 3642339646 ISBN-13(EAN): 9783642339646 Издательство: Springer Рейтинг: Цена: 19591.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers the theory and development of autonomous navigation of mobile robots using computer vision based sensing mechanism. It details several new approaches for real life vision based autonomous navigation algorithms.
Автор: Saini Sandeep, Lata Kusum, Sinha G. R. Название: VLSI and Hardware Implementations using Modern Machine Learning Methods ISBN: 1032061715 ISBN-13(EAN): 9781032061719 Издательство: Taylor&Francis Рейтинг: Цена: 19906.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book aims to provide the latest machine learning based methods, algorithms, architectures, and frameworks designed for VLSI design with focus on digital, analog and mixed-signal design techniques, device modeling, physical design, hardware implementation, testability, reconfigurable design, synthesis and verification, and related areas.
Автор: Sied Mehdi Fakhraie; Kenneth C. Smith Название: VLSI — Compatible Implementations for Artificial Neural Networks ISBN: 0792398254 ISBN-13(EAN): 9780792398257 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Introduces an approach to biologically-inspired and VLSI-compatible definition, simulation, and implementation of artificial neural networks. This book develops a set of guidelines for general hardware implementation of artificial neural networks. It provides a geometrical interpretation of the behavior of different variants of these networks.
Автор: Sied Mehdi Fakhraie; Kenneth C. Smith Название: VLSI — Compatible Implementations for Artificial Neural Networks ISBN: 1461378974 ISBN-13(EAN): 9781461378976 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces several state-of-the-art VLSI implementations of artificial neural networks (ANNs). The work of Professors Fakhraie and Smith, presented in this book, is a welcome addition to the state-of-the-art and will greatly benefit researchers and students working in this area.
Автор: Mohd. Samar Ansari Название: Non-Linear Feedback Neural Networks ISBN: 8132215621 ISBN-13(EAN): 9788132215622 Издательство: Springer Рейтинг: Цена: 19591.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book details the non-linear synapse neural network (NoSyNN). It also discusses the applications in computationally intensive tasks like graph coloring, ranking, and linear as well as quadratic programming.
Автор: Mohd. Samar Ansari Название: Non-Linear Feedback Neural Networks ISBN: 8132228960 ISBN-13(EAN): 9788132228967 Издательство: Springer Рейтинг: Цена: 15672.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book details the non-linear synapse neural network (NoSyNN). It also discusses the applications in computationally intensive tasks like graph coloring, ranking, and linear as well as quadratic programming.
Автор: Yoel Tenne; Chi-Keong Goh Название: Computational Intelligence in Optimization ISBN: 3642263615 ISBN-13(EAN): 9783642263613 Издательство: Springer Рейтинг: Цена: 30606.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This collection of recent studies spans a range of computational intelligence applications, emphasizing their application to challenging real-world problems. Covers Intelligent agent-based algorithms, Hybrid intelligent systems, Machine learning and more.
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