In control theory, sliding mode control (SMC) is a nonlinear control method that alters the dynamics of a nonlinear system by application of a discontinuous control signal that forces the system to slide along a cross-section of the system's normal behaviour.
As the sister book to "e;Introduction to Multicopter Design and Control,"e; published by Springer in 2017, this book focuses on using a practical process to help readers to deepen their understanding of multicopter design and control.
This book provides a foundation of the overall cycle from design and modelling to implementation and control of unmanned systems, exhibiting autonomy and instantiating self-organization amidst disturbances, also functioning in uncertain and dynamic environments.
Aus den Besprechungen zur ersten Auflage: "Der vorliegende Band gibt eine sehr gut lesbare übersichtliche Darstellung der für die Analyse und den Entwurf linearer Systeme relevanten Verfahren.
This book includes original, peer-reviewed research papers from the 4th ICAUS 2024, which provides a unique and engaging platform for scientists, engineers and practitioners from all over the world to present and share their most recent research results and innovative ideas.
The primary aim of this volume is to provide researchers and engineers from both academic and industry with up-to-date coverage of new results in the field of robotic welding, intelligent systems and automation.
Human-Machine Interaction and IoT Applications for a Smarter World explores the futuristic trends at the cutting edge of study and research on Human-Machine Interaction (HMI), which is also known as Human-Computer Interface (HCI), and the Internet of Things (IoT) by featuring applications in a proficient, adaptable, and manageable way.
On-Road Intelligent Vehicles: Motion Planning for Intelligent Transportation Systems deals with the technology of autonomous vehicles, with a special focus on the navigation and planning aspects, presenting the information in three parts.
This journal-like book series includes edited volumes to rapidly report and spread the latest technological results, new scientific discovery and valuable applied researches in the fields concerning offshore robotics as well as promote international academic exchange.
This book gathers contributions from a multidisciplinary research team comprised of control engineering and economics researchers and formed to address a central interdisciplinary social issue, namely economically enabled energy management.
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.
This book covers topics such as AeroSpace Systems, Intelligent Systems, Machine Learning and Analytics, Internet of Things, Applied Media Informatics and Technology, Adaptive Control Systems, Software Engineering and Cyber-Physical Systems.
This book presents the proceedings of the 2021 International Symposium on Automation, Mechanical and Design Engineering (SAMDE), held in Beijing, China, on 3-5 December 2021, and organized by the Hong Kong Society of Robotics and Automation (HKSRA).
Today's real-world problems and applications in sensory systems and target detection require efficient, comprehensive and fault-tolerant multi-sensor allocation.
Unlike most engineers, system engineers focus on the knowledge base needed to develop good systems in a cross-functional fashion rather than deeply on isolated topics.
Dieser Buchtitel ist Teil des Digitalisierungsprojekts Springer Book Archives mit Publikationen, die seit den Anfängen des Verlags von 1842 erschienen sind.
This volume consists of selected essays by participants of the workshop Control at Large Scales: Energy Markets and Responsive Grids held at the Institute for Mathematics and its Applications, Minneapolis, Minnesota, U.
The book presents the modeling and control of hydrogen-air PEM fuel cells, including simultaneous estimation of the parameters and states, fuzzy cluster modeling, SPM-based predictive control and advanced fuzzy control.
A Systems Approach to AMT Development is part of the Advanced Manufacturing Series edited by Professor Pham of the University of Wales, College of Cardiff.
Offering a modern, process-oriented approach emphasizing process control scheme development instead of extended coverage of LaPlace space descriptions of process dynamics, Designing Controls for the Process Industries focuses on aspects that are most important for contemporary practical process engineering and reflects the industry's use of digital distributed control-based systems.
Artificial Intelligence Tools: Decision Support Systems in Condition Monitoring and Diagnosis discusses various white- and black-box approaches to fault diagnosis in condition monitoring (CM).
This book presents an extensive exploration of the latest trends in Unmanned Aerial Systems (UAS) technology and the boundless opportunities they offer.
Between Theory and Practice in Architectural Design: Imagination and Interdisciplinarity in the Art of Building examines the intersection of philosophy and practice in architecture, exploring life, viability, and interdisciplinary collaboration and offering practical design insights for all beings.
This book examines computer vision and IoT-integrated technologies used by medical professionals in decision-making, for sustainable development in a healthcare ecosystem, and to better serve patients and stakeholders.
After two decades, data processing has finally, and probably forever, found its niche among civil engineering and construction (CEC) professionnals, through word processors, digitizing tables, management software, and increasingly via drawing software and computer-aided design (CAD), recently, robots have even started invading work sites.
The aim of this book is to stimulate research on the topic of the Social Internet of Things, and explore how Internet of Things architectures, tools, and services can be conceptualized and developed so as to reveal, amplify and inspire the capacities of people, including the socialization or collaborations that happen through or around smart objects and smart environments.
Discover New Methods for Dealing with High-Dimensional DataA sparse statistical model has only a small number of nonzero parameters or weights; therefore, it is much easier to estimate and interpret than a dense model.
