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1 - 12 de 12 resultados para “calin belta”
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  • Adaptive and Learning-Based Control of Safety-Critical Systems

    de Max Cohen, Calin Belta ...
    Series series eBColl Synthesis Collection 12
    This book stems from the growing use of learning-based techniques, such as reinforcement learning and adaptive control, in the control of autonomous and safety-critical systems. Safety is critical to many applications, such as autonomous driving, air traffic control, and robotics. As these learning-enabled technologies become more prevalent in the control of autonomous systems, it becomes ... Leer más

    $58.99 USD

  • Safe Autonomy with Control Barrier Functions

    Theory and Applications

    de Wei Xiao, Christos G. Cassandras, Calin Belta ...
    Series series eBColl Synthesis Collection 12
    This book presents the concept of Control Barrier Function (CBF), which captures the evolution of safety requirements during the execution of a system and can be used to enforce safety. Safety is formalized using an emerging state-of-the-art approach based on CBFs, and many illustrative examples from autonomous driving, traffic control, and robot control are provided. Safety is central to ... Leer más

    $58.99 USD

  • Formal Methods for Discrete-Time Dynamical Systems

    de Calin Belta, Boyan Yordanov, Ebru Aydin Gol ...
    Series series Engineering (R0)
    This book bridges fundamental gaps between control theory and formal methods. Although it focuses on discrete-time linear and piecewise affine systems, it also provides general frameworks for abstraction, analysis, and control of more general models.The book is self-contained, and while some mathematical knowledge is necessary, readers are not expected to have a background in formal methods or ... Leer más

    $170.99 USD

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  • Fuzzy Neural Networks for Real Time Control Applications

    Concepts, Modeling and Algorithms for Fast Learning

    de Erdal Kayacan, Mojtaba Ahmadieh Khanesar ...
    AN INDISPENSABLE RESOURCE FOR ALL THOSE WHO DESIGN AND IMPLEMENT TYPE-1 AND TYPE-2 FUZZY NEURAL NETWORKS IN REAL TIME SYSTEMS Delve into the type-2 fuzzy logic systems and become engrossed in the parameter update algorithms for type-1 and type-2 fuzzy neural networks and their stability analysis with this book! Not only does this book stand apart from others in its focus but also in its ... Leer más

    $89.99 USD

  • 3D Point Cloud Analysis

    Traditional, Deep Learning, and Explainable Machine Learning Methods

    de Shan Liu, Min Zhang, Pranav Kadam, C.-C. Jay Kuo ...
    This book introduces the point cloud; its applications in industry, and the most frequently used datasets. It mainly focuses on three computer vision tasks -- point cloud classification, segmentation, and registration -- which are fundamental to any point cloud-based system. An overview of traditional point cloud processing methods helps readers build background knowledge quickly, while the deep ... Leer más

    $107.99 USD

  • Machine Learning

    A Constraint-Based Approach

    de Marco Gori ...
    Machine Learning: A Constraint-Based Approach provides readers with a refreshing look at the basic models and algorithms of machine learning, with an emphasis on current topics of interest that includes neural networks and kernel machines. The book presents the information in a truly unified manner that is based on the notion of learning from environmental constraints. While regarding symbolic ... Leer más

    $71.99 USD

  • Fundamentals of Massive MIMO

    de Thomas L. Marzetta, Erik G. Larsson, Hong Yang, Hien Quoc Ngo ...
    Written by pioneers of the concept, this is the first complete guide to the physical and engineering principles of Massive MIMO. Assuming only a basic background in communications and statistical signal processing, it will guide readers through key topics in multi-cell systems such as propagation modeling, multiplexing and de-multiplexing, channel estimation, power control, and performance ... Leer más

    $81.99 USD

  • Hands-On Mathematics for Deep Learning

    Build a solid mathematical foundation for training efficient deep neural networks

    de Jay Dawani ...
    A comprehensive guide to getting well-versed with the mathematical techniques for building modern deep learning architecturesKey FeaturesUnderstand linear algebra, calculus, gradient algorithms, and other concepts essential for training deep neural networksLearn the mathematical concepts needed to understand how deep learning models functionUse deep learning for solving problems related to vision, ... Leer más

    $27.99 USD o gratis con Kobo Plus

  • Design of Heuristic Algorithms for Hard Optimization

    With Python Codes for the Travelling Salesman Problem

    de Éric D. Taillard ...
    Series series Graduate Texts in Operations Research
    This open access book demonstrates all the steps required to design heuristic algorithms for difficult optimization. The classic problem of the travelling salesman is used as a common thread to illustrate all the techniques discussed. This problem is ideal for introducing readers to the subject because it is very intuitive and its solutions can be graphically represented. The book features a ... Leer más

    Gratis

  • Handbook of Blind Source Separation

    Independent Component Analysis and Applications

    Edición de Pierre Comon, Christian Jutten ...
    Edited by the people who were forerunners in creating the field, together with contributions from 34 leading international experts, this handbook provides the definitive reference on Blind Source Separation, giving a broad and comprehensive description of all the core principles and methods, numerical algorithms and major applications in the fields of telecommunications, biomedical engineering and ... Leer más

    $148.99 USD

  • Graph Theoretic Methods in Multiagent Networks

    de Mehran Mesbahi, Magnus Egerstedt ...
    Series series Princeton Series in Applied Mathematics
    This accessible book provides an introduction to the analysis and design of dynamic multiagent networks. Such networks are of great interest in a wide range of areas in science and engineering, including: mobile sensor networks, distributed robotics such as formation flying and swarming, quantum networks, networked economics, biological synchronization, and social networks. Focusing on graph ... Leer más

    $70.59 USD

  • Deep Learning For Physics Research

    de Martin Erdmann, Jonas Glombitza, Gregor Kasieczka, Uwe Klemradt ...
    A core principle of physics is knowledge gained from data. Thus, deep learning has instantly entered physics and may become a new paradigm in basic and applied research.This textbook addresses physics students and physicists who want to understand what deep learning actually means, and what is the potential for their own scientific projects. Being familiar with linear algebra and parameter ... Leer más

    $35.99 USD