Automatic control engineering

The copious photographs in this book lavishly illustrate the current and future applications for robots in a wide scope of fields such as entertainment, medicine, space exploration, underwater navigation, and many more.

Numerical Algorithms: Methods for Computer Vision, Machine Learning, and Graphics presents a new approach to numerical analysis for modern computer scientists.

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

Nonlinear Vibration and Dynamics of Smart Continuous Structures and Materials delves into intricate subjects concerning the analysis of nonlinear vibration issues in continuous structures.

General Purpose Simulation System (GPSS) is a special computer programming language primarily used to simulate what can be classified as discrete systems.

A Concise Handbook of Mathematics, Physics, and Engineering Sciences takes a practical approach to the basic notions, formulas, equations, problems, theorems, methods, and laws that most frequently occur in scientific and engineering applications and university education.

Algorithms that control the computational processes relating sensors and actuators are indispensable for robot navigation and the perception of the world in which they move.

This book focuses on the integration of intelligent communication systems, control systems, and devices related to all aspects of engineering and sciences.

Iterative algorithms often rely on approximate evaluation techniques, which may include statistical estimation, computer simulation or functional approximation.

Offering a wide range of programming examples implemented in MATLAB, Computational Intelligence Paradigms: Theory and Applications Using MATLAB presents theoretical concepts and a general framework for computational intelligence (CI) approaches, including artificial neural networks, fuzzy systems, evolutionary computation, genetic algorithms and pr

Exploring fundamental research questions, Conceptual Structures in Practice takes you through the basic yet nontrivial task of establishing conceptual relations as the foundation for research in knowledge representation and knowledge mining.

This book focuses on the integration of intelligent communication systems, control systems, and devices related to all aspects of engineering and sciences.

Embrace the Future: Prosper in the Age of AIStep into a world transformed by artificial intelligence, where opportunity and innovation coexist with unprecedented change.

The book covers the role of emerging technologies such as blockchain technology, machine learning, IoT, cryptography, etc.

The First International Conference on Signal and Information Processing, Networking and Computers (ICSINC) focuses on the key technologies and challenges of signal and information processing schemes, network application, computer theory and application, etc.

Although much literature exists on the subject of RSA and public-key cryptography, until now there has been no single source that reveals recent developments in the area at an accessible level.

This volume presents the theory of control systems with sliding mode applied to electrical motors and power converters.

This handbook examines the dichotomy between the structure of products and their subgraphs.

Handbook of Big Data provides a state-of-the-art overview of the analysis of large-scale datasets.

The book captures the essence of the International Conference on Data Science & Exploration in Artificial Intelligence and offers a comprehensive exploration of cutting-edge research in AI, data science, and their applications.

The text comprehensively focusses on the use of artificial intelligence and optimization techniques for creating smart information systems.

The design of approximation algorithms for spanning tree problems has become an exciting and important area of theoretical computer science and also plays a significant role in emerging fields such as biological sequence alignments and evolutionary tree construction.

Despite its importance, logistics engineering often lags industry requirements, especially in terms of engineering-based needs.

Email has become an indispensable communication tool in daily life.

The rapid advancement in the theoretical understanding of statistical and machine learning methods for semisupervised learning has made it difficult for nonspecialists to keep up to date in the field.

Tracking is the goal of control of any object, plant, process, or vehicle.

Drawn from the US National Science Foundation's Symposium on Next Generation of Data Mining and Cyber-Enabled Discovery for Innovation (NGDM 07), Next Generation of Data Mining explores emerging technologies and applications in data mining as well as potential challenges faced by the field.

In response to the exponentially increasing need to analyze vast amounts of data, Neural Networks for Applied Sciences and Engineering: From Fundamentals to Complex Pattern Recognition provides scientists with a simple but systematic introduction to neural networks.

Commentaries by the editors to this comprehensive anthology in the area of physics-based vision put the papers in perspective and guide the reader to a thorough understanding of the basics of the field.

Based on the many approaches available for dealing with large-scale systems (LSS), Decentralized Control and Filtering in Interconnected Dynamical Systems supplies a rigorous framework for studying the analysis, stability, and control problems of LSS.

This book proposes an integrated design method for intelligent adaptive controllers to overcome the negative effects of various constraints on nonlinear systems and nonlinear multiagent systems in practical applications.

This book proposes an integrated design method for intelligent adaptive controllers to overcome the negative effects of various constraints on nonlinear systems and nonlinear multiagent systems in practical applications.

,Become the most competitive and dynamic knowledge based economy in the world by 2010, is the major objective of the Lisbon strategy for the European Community.

Process engineering spans industrial applications in the manufacturing sector from petrochemical to polymer to mineral production.

Emerging imaging techniques have opened new fronts to investigate tissues, cells, and proteins.

This book is dedicated to modern approaches to mathematical modeling of reflexive processes in control.

Methods Used to Solve Discrete Math ProblemsInteresting examples highlight the interdisciplinary nature of this areaPearls of Discrete Mathematics presents methods for solving counting problems and other types of problems that involve discrete structures.

As the complexity of today's networked computer systems grows, they become increasingly difficult to understand, predict, and control.

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

In recent years, new paradigms have emerged to replace-or augment-the traditional, mathematically based approaches to optimization.

Despite the large volume of publications devoted to neural networks, fuzzy logic, and evolutionary programming, few address the applications of computational intelligence in design and manufacturing.

The author compiles everything a student or experienced developmental engineer needs to know about the supporting technologies associated with the rapidly evolving field of robotics.

Fuzzy sets, near sets, and rough sets are useful and important stepping stones in a variety of approaches to image analysis.

This volume encompasses many new types of constraints and clustering methods as well as delivers thorough coverage of the capabilities and limitations of constrained clustering.

Background modeling and foreground detection are important steps in video processing used to detect robustly moving objects in challenging environments.

Commentaries by the editors to this comprehensive anthology in the area of physics-based vision put the papers in perspective and guide the reader to a thorough understanding of the basics of the field.

This book approaches robotics from a deep learning perspective.

Mathematical Modelling of Aerospace Dynamic Systems with Practical Applications provides mathematical models for several aerospace dynamic systems: aircraft, rotorcraft, missiles, unmanned aerial vehicles (UAVs), mini air vehicles (MAVs), autonomous underwater vehicles (AUWVs), and satellite-coordinate systems.

This book aims to provide a systematic approach to the design, assessment, operation, and maintenance of safety barriers that are used for preventing accidents and protecting humans, equipment, and the environment.