Automatic control engineering

Comprehensive Coverage of the Entire Area of ClassificationResearch on the problem of classification tends to be fragmented across such areas as pattern recognition, database, data mining, and machine learning.

A review of open channel turbulence, focusing especially on certain features stemming from the presence of the free surface and the bed of a river.

The thesis provides different opportunities and ideas to face some current challenges in the electricity systems.

Models of dynamical systems are required for various purposes in the field of systems and control.

This book gathers papers presented during the 5th International Conference on Electrical Engineering and Control Applications (ICEECA 2022), held on November, 15-17, 2022, Khenchela, Algeria.

This book presents an authoritative collection of contributions reporting on computational intelligence, fuzzy systems as well as artificial intelligence techniques for modeling, optimization, control and decision-making together with applications and case studies in engineering, management and economic sciences.

Equitable Solutions for Retaining a Robust STEM Workforce offers strategies and proven recommendations to accommodate work/life satisfaction for those in the STEM fields.

This textbook provides a comprehensive, but tutorial, introduction to robotics, computer vision, and control.

This book is targeted for students of electronics and computer sciences.

In many practical applications we deal with a wide class of dynamical systems that are comprised of a family of continuous-time or discrete-time subsystems and a rule orchestrating the switching between the subsystems.

Artificial intelligence (AI) and machine learning (ML) techniques play an important role in our daily lives by enhancing predictions and decision-making for the public in several fields such as financial services, real estate business, consumer goods, social media, etc.

In recent years, drones have been integrated with the Internet of Things to offer a variety of exciting new applications.

Discover how to use the LEGO SPIKE Prime kit and boost your confidence in robotics, coding, and engineeringKey FeaturesGet up and running with new parts not seen in previous LEGO kitsGain deeper insights into non-compatible sensors and components that work with all prior LEGO components and third-party elementsExplore new features and experiment with new robot builds with LEGO's new coding platformBook DescriptionThe new LEGO SPIKE Prime is one of the latest additions to the LEGO robotics line of products.

A Proven, Hands-On Approach for Students without a Strong Statistical FoundationSince the best-selling first edition was published, there have been several prominent developments in the field of machine learning, including the increasing work on the statistical interpretations of machine learning algorithms.

This is the first book to focus on robotic reproductive cell manipulation.

This book is devoted to the development of the shape memory materials and their applications.

This book illustrates the main characteristics, challenges and optimisation requirements of robotic disassembly.

Receding Horizon Control (RHC) introduces the essentials of a successful feedback strategy that has emerged in many industrial fields.

This book presents recent developments on the theoretical, algorithmic, and application aspects of Big Data in Complex and Social Networks.

A concise, in-depth introduction to active disturbance rejection control theory for nonlinear systems, with numerical simulations and clearly worked out equations Provides the fundamental, theoretical foundation for applications of active disturbance rejection control Features numerical simulations and clearly worked out equations Highlights the advantages of active disturbance rejection control, including small overshooting, fast convergence, and energy savings

This textbook serves as a guide to real estate students and educators on the various property innovations and digital technologies that continue to shape the property industry.

This book presents the proceedings of 24th International Conference Series on Climbing and Walking Robots.

True Digital Control: Statistical Modelling and Non Minimal State Space Designdevelops a true digital control design philosophy that encompasses data based model identification, through to control algorithm design, robustness evaluation and implementation.

No detailed description available for "e;Time Series Predictive Control in Robotics"e;.

"e;Design Rules for Actuators in Active Mechanical Systems"e; deals with the formulation of model-based design rules to be used in the conception of optimized mechatronic and adaptronic systems.

This volume contains revised and extended research articles written by prominent researchers participating in the conference.

Dieses Fachbuch gibt einen vertieften Einblick in das dynamische Verhalten von thermoaktiven Bauteilsystemen.

Increasing complexity and performance and reliability expectations make modeling of automotive system both more difficult and more urgent.

This book includes papers presented at the International Conference "e;Educational Robotics 2016 (EDUROBOTICS)"e;, Athens, November 25, 2016.

Dieser Band stellt die wesentlichen Eigenschaften von Gleichstrom- Asynchron- und Synchronmotoren im Hinblick auf die Streckenanalyse dar und beschreibt ihre dynamische Struktur.

Robot Motion and Control presents very recent results in robot motion and control.

Thirty years after RSA was first publicized, it remains an active research area.

This book primarily illustrates the rationale, design and technical realization/verification for the cooperative guidance and control systems (CGCSs) of missile autonomous formation (MAF).

Neural Approximations for Optimal Control and Decision provides a comprehensive methodology for the approximate solution of functional optimization problems using neural networks and other nonlinear approximators where the use of traditional optimal control tools is prohibited by complicating factors like non-Gaussian noise, strong nonlinearities, large dimension of state and control vectors, etc.

Coefficient of Variation (CV) is a unit free index indicating the consistency of the data associated with a real-world process and is simple to mold into computational paradigms.

Over the last decade, progress in deep learning has had a profound and transformational effect on many complex problems, including speech recognition, machine translation, natural language understanding, and computer vision.

This book includes papers from the 5th International Conference on Robot Intelligence Technology and Applications held at KAIST, Daejeon, Korea on December 13-15, 2017.

This book gathers selected research articles from the International Conference on Innovative Product Design and Intelligent Manufacturing System (ICIPDIMS 2019), held at the National Institute of Technology, Rourkela, India.

This book is the sixth volume of the successful book series on Robot Operating System: The Complete Reference.

This book addresses fault detection and isolation topics from a computational perspective.

This book constitutes the proceedings of the 19th Chinese Intelligent Systems Conference, CISC 2023, which was held during October 14-15, 2023, in Ningbo, Zhejiang, China.

Der erste Teil dieses Werkes gibt eine praxisorientierte Einführung in die Sprache C.

This book presents a compilation of selected papers from the 17th IEEE International Conference on Machine Learning and Applications (IEEE ICMLA 2018), focusing on use of deep learning technology in application like game playing, medical applications, video analytics, regression/classification, object detection/recognition and robotic control in industrial environments.

This book explores the design and analysis of fractional-order and active disturbance rejection control, examining both the theoretical foundations and their practical applications.

Based on interdisciplinary research into "e;Directional Change"e;, a new data-driven approach to financial data analysis, Detecting Regime Change in Computational Finance: Data Science, Machine Learning and Algorithmic Trading applies machine learning to financial market monitoring and algorithmic trading.