Automatic control engineering

The book addresses the system performance with a focus on the network-enhanced complexities and developing the engineering-oriented design framework of controllers and filters with potential applications in system sciences, control engineering and signal processing areas.

Work is all around us and permeates everything we do and everyday activities.

The 2005 Virtual International Conference on IPROMS took place on the Internet between 4 and 15 July 2005.

Practical Optimization: Algorithms and Engineering Applications provides a hands-on treatment of the subject of optimization.

Up to date with the third edition of PMI's Standard for Program Management, this is the most comprehensive resource available to help prepare readers for the PgMP Exam.

This book describes new energy saving methods and technologies for heat power engineering.

This book focuses on the control and state estimation problems for dynamical network systems with complex samplings subject to various network-induced phenomena.

This book presents the state of the art in designing high-performance algorithms that combine simulation and optimization in order to solve complex optimization problems in science and industry, problems that involve time-consuming simulations and expensive multi-objective function evaluations.

Introducing multibody dynamics with an emphasis on flexible body dynamics, this edition features an additional chapter with explanations for the fundamental issues addressed.

With businesses becoming ever more competitive, marketing strategies need to be more precise and performance oriented.

The Internet has gone from an Internet of people to an Internet of Things (IoT).

This monograph provides an in-depth treatment of the class of linear-dynamical quantum systems.

Machines that are smarter than people?

This book is a reference on digital technology and its impact on sustainability, providing insight into sustainable practices globally.

Ordinary and fractional approximations by non-additive integrals, especially by integral approximators of Choquet, Silkret and Sugeno types, are a new trend in approximation theory.

Practical Field Robotics: A Systems Approach is an introductory book in the area of field robotics.

This book was developed to help researchers and practitioners select measures to be used in the evaluation of human/machine systems.

Efficient Dynamic Simulation of Robotic Mechanisms presents computationally efficient algorithms for the dynamic simulation of closed-chain robotic systems.

Unmanned aircraft systems (UAS) are rapidly emerging as flexible platforms for capturing imagery and other data across the sciences.

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.

This book provides applications of machine learning in healthcare systems and seeks to close the gap between engineering and medicine.

Interdisciplinary approaches using Machine Learning and Deep Learning techniques are smartly addressing real life challenges and have emerged as an inseparable element of disruption in current times.

This volume presents the 17th International Conference on Information Technology-New Generations (ITNG), and chronicles an annual event on state of the art technologies for digital information and communications.

In terms of pioneering and latest technologies, present-day advancements in manufacturing and industrial engineering are required to attend to the accelerated and simultaneous demands of high quality, productivity and sustainability.

Rapid technological advances in the field of robotics and autonomous systems (RAS) are transforming the international security environment and the conduct of contemporary conflict.

This book demonstrates the unifying methods of generalized versions of Hilfer, Prabhakar and Hilfer-Prabhakar fractional calculi, and we establish related unifying fractional integral inequalities of the following types: Iyengar, Landau, Polya, Ostrowski, Hilbert-Pachpatte, Hardy, Opial, Csiszar's f-Divergence, self-adjoint operator and related to fuzziness.

Mixture models have been around for over 150 years, and they are found in many branches of statistical modelling, as a versatile and multifaceted tool.

This book vividly illustrates all the promising and potential machine learning (ML) and deep learning (DL) algorithms through a host of real-world and real-time business use cases.

Coupled with machine learning, the use of signal processing techniques for big data analysis, Internet of things, smart cities, security, and bio-informatics applications has witnessed explosive growth.

This volume, which contains 15 contributions, is based on a minicourse held at the 1987 IEEE Plasma Science Meeting.

This book is a concise introduction to emerging concepts and ideas found at the intersection of contemporary behavioural science and artificial intelligence.

Advances in Robotic Systems, Part 1 shows how the activity in robotic systems has increased significantly over the past decade.

Input-to-State Stability presents the dominating stability paradigm in nonlinear control theory that revolutionized our view on stabilization of nonlinear systems, design of robust nonlinear observers, and stability of nonlinear interconnected control systems.

This book aims to provide a comprehensive overview of the various services that are available to help cities develop their smart communities.

In diesem Sammelband geht es darum, neue Algorithmen aus den Bereichen der Künstlichen Intelligenz (KI) und des Künstlichen Lebens (KL) und deren praktische Anwendung zu zeigen.

Many control problems can be naturally formulated, analyzed, and solved in a set-theoretic context.

This book describes the uses of different mathematical modeling and soft computing techniques used in epidemiology for experiential research in projects such as how infectious diseases progress to show the likely outcome of an epidemic, and to contribute to public health interventions.

A NEW EDITION OF THE CLASSIC TEXT ON OPTIMAL CONTROL THEORY As a superb introductory text and an indispensable reference, this new edition of Optimal Control will serve the needs of both the professional engineer and the advanced student in mechanical, electrical, and aerospace engineering.

Handbook of Artificial Intelligence in Biomedical Engineering focuses on recent AI technologies and applications that provide some very promising solutions and enhanced technology in the biomedical field.

The text discusses recurrent neural networks for prediction and offers new insights into the learning algorithms, architectures, and stability of recurrent neural networks.

This book dives into the vanguard of robotics and AI with this scholarly edition, a compilation of pioneering research from the 11th International Conference on Robot Intelligence Technology and Applications (RiTA) Volume 2.

Design, select and operate the latest electronic instruments.

Future predictions are always a topic of interest.

This book covers advancements and future challenges in biomedical application development using disruptive technologies like artificial intelligence (AI), the Internet of Things (IoT), and signal processing.

It seems that artificial intelligence (AI) is always just five years away, but it never arrives.

I wrote this book because I wanted to learn more about interstel- lar flight.

Traditionally, electrical machines are classi?

Robots challenge humans' beliefs and expectations.

This book represents a comprehensive exploration of the intricate intersection between geology and mining through the lens of system-oriented perspectives.