Automatic control engineering

This volume contains the proceedings of the IUTAM Symposium on Model Order Reduction of Coupled System, held in Stuttgart, Germany, May 22-25, 2018.

This book offers organizations the catalyst for swift change to take strategic advantage of what AI has to offer.

This book contains the original, peer-reviewed research papers from the International Symposium on Automatic Control and Emerging Technologies, held in Kenitra, Morrocco, on July 11-13, 2023.

The arrival of the 21st century has completed an authentic technological revolution of the information and knowledge systems where education plays an essential role.

Intelligent computation is the need of the current society.

This book presents proceedings of the third international conference in this field, continuing the success of the previous events.

The book covers the latest theoretical results and sophisticated applications in the field of variable-structure systems and sliding-mode control.

This unique book captures state of the art thinking and methodologies designed to advance intelligence education to produce a capable and qualified intelligence workforce.

Data Science in Practice is the ideal introduction to data science.

Anhand von simulierten Beispielen (kostenlose Software) werden Ampere- und Voltmeter mit ihren Anwendungen und Fehlerquellen erklaert.

The book shows how the operation of renewable-energy microgrids can be facilitated by the use of model predictive control (MPC).

This book discusses the parametric modeling, performance evaluation, design optimization and comparative study of the high-speed, parallel pick-and-place robots.

This book, Active Filters and Amplifier Frequency Response, is the third of four books of a larger work, Fundamentals of Electronics.

Create the next generation of AUTONOMOUS ANDROIDS!

An electric machine is a device that converts mechanical energy into electrical energy or vice versa.

Machine Learning in Medicine covers the state-of-the-art techniques of machine learning and their applications in the medical field.

The text comprehensively discusses the latest Opto-VLSI devices and circuits useful for healthcare and biomedical applications.

This book aims at bringing together academic and industry, researchers in mechanical engineering and their worldwide partners in a stimulating environment.

Algebraic Structures in Natural Language addresses a central problem in cognitive science concerning the learning procedures through which humans acquire and represent natural language.

This volume contains the papers of the 1st Workshop IFToMM for Sustainable Development Goals (I4SDG), held online on November 25-26, 2021.

The text provides a comprehensive study of the application of advanced artificial intelligence (AI) in next-generation wireless communications with a focus on theory, standardization, and core development.

This book provides a systematical and comprehensive description of some facets of modeling, designing, analyzing and exploring the control allocation and fault-tolerant control problems for over-actuated spacecraft attitude control system under actuator failures, system uncertainties and disturbances.

This book describes the latest advances in fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, and their applications in areas such as: intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction, and optimization of complex problems.

Face Image Analysis by Unsupervised Learning explores adaptive approaches to image analysis.

This textbook provides a thorough introduction and overview of the design and engineering of state-of-the-art prosthetics and assistive technologies.

This book presents selected peer reviewed papers from the International Conference on Advanced Production and Industrial Engineering (ICAPIE 2019).

In many ways, estimation by an appropriate minimum distance method is one of the most natural ideas in statistics.

This textbook is a concise yet precise supplement to traditional books on Signals and Systems, focusing exclusively on the continuous-time case.

Brain Computer Interface: EEG Signal Processing discusses electroencephalogram (EEG) signal processing using effective methodology and algorithms.

The book deals with the conceptual and practical knowledge of the latest tools and methodologies of hardware development for Internet of Things (IoT) and variety of real-world challenges.

The papers in this volume provide a vision of the evolution of the robotics disciplines and indicate new directions in which these disciplines are foreseen to develop.

This book aims at providing an overview of state-of-the-art in both the theory and methods of intuitionistic fuzzy logic, partial differential equations and numerical methods in informatics.

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.

This monograph applies the relative optimization approach to time nonhomogeneous continuous-time and continuous-state dynamic systems.

Nowadays, people have tendency to be fond of smarter machines that are able to collect data, make learning, recognize things, infer meanings, communicate with human and perform behaviors.

This book focuses on light invariant bare hand gesture recognition while there is no restriction on the types of gestures.

This book gathers the proceedings of the 3rd Latin American Congress on Automation and Robotics, held at Monterrey, Mexico, on November 17-19, 2021.

Have you thought of how it feels to be an AI brain in the world of humans?

Paradoxes are poems of science and philosophy that collectively allow us to address broad multidisciplinary issues within a microcosm.

This thesis develops a systematic, data-based dynamic modeling framework for industrial processes in keeping with the slowness principle.

The availability of machine-learning algorithms, and the immense computational power required to develop robust models with high accuracy, has driven researchers to conduct extensive studies in forensic science, particularly in the identification and examination of evidence found at crime scenes.

Internal combustion engines still have a potential for substantial improvements, particularly with regard to fuel efficiency and environmental compatibility.

This book is written in a clear and thorough way to cover both the traditional and modern uses of artificial intelligence and soft computing.

Automatic navigation makes ocean-going and flying safer and less expensive: Safer because machines are tireless and always vigilant; inexpensive because it does not use human navigators who are, unavoidably, highly trained and thus expensive people.

This book brings together leading experts from around the world to explore the transformative potential of Machine Learning (ML) and the Internet of Things (IoT) in healthcare.