Skip to main content
Elsevier

Books in Systems and control

The Systems and Control collection addresses theory and applications in automation, feedback control, robotics, and dynamic system modeling. It provides researchers and engineers with advanced methodologies to design, analyze, and optimize complex engineered systems. Highlighting integration with AI, IoT, and smart technologies, this portfolio supports innovation in industrial, aerospace, and robotic control systems.

  • Predictive Digital Twins

    Foundations and Applications
    • 1st Edition
    • Agus Hasan
    • English
    Predictive Digital Twins: Foundations and Applications addresses the theoretical foundations, practical applications, and emerging trends associated with predictive digital twins. Specifically focusing on predictive capabilities, digital twins designated for this purpose are commonly known as predictive digital twins. Despite the growing recognition of their importance, discussions surrounding predictive digital twins remain fragmented and lacking a comprehensive resource. This gap becomes particularly pronounced in the academic world, where, as a university professor teaching a master's program course in digital twins, there arises a pressing need for a dedicated reference book to furnish students with a structured and in-depth exploration of predictive digital twins.The book fills the existing void in literature and academia, providing students, researchers, and practitioners with a valuable resource to enhance their understanding of this cutting-edge concept. The digital twin concept stands as a pivotal facilitator in the ongoing Industry 4.0 revolution, with one of its most significant advantages lying in its capacity to offer precise predictions.

  • Principles of Medical Biohybrid Microrobots

    • 1st Edition
    • Veronika Magdanz + 1 more
    • English

  • Advances in Automotive Exhaust Gas Control and Aftertreatment Technologies

    • 1st Edition
    • Mejdi Jeguirim
    • English
    Paving the way to a more sustainable transportation future, Automotive Exhaust Gas Control and Aftertreatment Technologies provides valuable insights into effective practices and innovative solutions to address the complexities of emissions management for internal combustion engines (both gasoline and diesel), alternative fuel vehicles, and hybrid systems.The book opens with the fundamental theory of pollutants’ formation and a comprehensive examination of the critical challenges posed by harmful emissions to both human health and the environment. The ensuing structured framework allows for an in-depth exploration of exhaust gas control technologies, which delve into catalytic converters, oxidation and reduction methods, and advanced aftertreatment devices. The integration of renewable fuels and hybridization techniques is also addressed, spotlighting their significance in achieving cleaner and more efficient vehicle systems engineering.With contributions from leading experts in the field, this well-thought-out reference volume is the ideal resource for researchers, students, and professionals who aim to drive the evolving automotive landscape forward in a pivotal way, while meeting both regulatory and consumer demands.

  • Adaptive Predefined-Time Attitude Control for Spacecraft

    • 1st Edition
    • Qiang Chen + 3 more
    • English
    Adaptive Predefined-Time Attitude Control for Spacecraft presents the latest advancements in spacecraft control dynamics, with a particular focus on time-bound strategies that guarantee rapid and smooth system stabilization under realistic mission constraints. Rooted in the expertise of scholars with extensive experience in nonlinear and adaptive control, the book establishes a solid theoretical foundation in finite-time and predefined-time formulations before transitioning to sophisticated techniques such as fuzzy logic, dynamic surface control, neural networks, and event-triggered design. Subsequent chapters broaden the scope to encompass multi-spacecraft coordination and time-triggered adaptation, reflecting the growing trend toward autonomy and intelligent systems in modern aerospace applications.Readers are guided through a cohesive suite of state-of-the-art methodologies, along with insights into emerging trends and future frontiers, all engineered to optimize reliability, efficiency, and fault tolerance. Graduate students, early-career researchers, and experienced engineers in both academia and industry will find this volume a comprehensive and indispensable reference for the design and deployment of intelligent attitude control systems in modern flight and satellite missions.

  • Swarm Robotics Solutions for National Security and Marine Forensics

    • 1st Edition
    • Adarsh Kumar + 3 more
    • English
    Swarm Robotics Solutions for National Security and Marine Forensics explores the cutting-edge applications of swarm robotics in safeguarding national security and advancing marine forensics. This book delves into the innovative use of collaborative robotic systems inspired by nature, where multiple autonomous agents work seamlessly together to address complex challenges. From enhancing surveillance and reconnaissance capabilities for national defence to revolutionizing marine forensic investigations, this comprehensive guide highlights the transformative impact of swarm robotics on critical domains.This is a must-read for researchers, practitioners, and enthusiasts in robotics, artificial intelligence, and security as it illuminates the future possibilities of swarm robotics in shaping a safer and more secure world.

  • Robust Model Predictive Control of Permanent Magnet Synchronous Motor Under Parameter Mismatch

    • 1st Edition
    • Gongping Wu + 3 more
    • English
    Permanent magnet synchronous motors (PMSMs) are essential in electromechanical systems like urban rail vehicles and wind power generation, thanks to their fast torque response and wide speed range. Model predictive control (MPC) offers high accuracy and dynamic response, making it suitable for PMSMs. However, MPC relies on accurate motor parameters, which may vary over time, leading to mismatches that affect performance. These mismatches can cause unstable switching frequencies and increased torque/flux ripples, becoming a common fault in PMSM systems. This book presents improved MPC methods to enhance robustness against parameter mismatches. It aims to help researchers understand advanced motor control strategies and assist engineers in applying these algorithms effectively to improve the operational performance of industrial motor systems.

  • Innovations in Robotic Design, Control, and Rehabilitation Dynamics

    • 1st Edition
    • Ahmad Taher Azar + 1 more
    • English
    Innovations in Robotic Design, Control, and Rehabilitation Dynamics explores a wide range of topics, from biomechanics-inspire... exoskeletons to neural control strategies for mobile robot swarms. From autonomous vehicles to medical robotics, this book delves into the latest advancements in modeling, dynamics, and control. Each chapter offers insights essential for navigating the complexities of modern robotic systems. By focusing on precise modeling techniques, researchers aim to better understand and predict robot behavior while advanced control strategies optimize performance and adaptability in dynamic environments. With a keen eye on integrating sensory feedback and perception systems, robots are becoming increasingly autonomous and intelligent. Whether you're interested in cable-driven haptic devices or AI-enhanced biosensors in medical robotics, this book provides a deep-dive into cutting-edge developments shaping the future of robotics.

  • Stochastic Analysis and Control in Energy, Environmental and Resource Management Applications

    • 1st Edition
    • Hidekazu Yoshioka + 1 more
    • English
    Stochastic Control in Energy, Environmental and Resource Management Applications offers practical insights and solutions to contemporary challenges in resource, environment, and energy management. From sustainable fishery practices to water quality assessment and renewable energy generation, the book addresses urgent global issues. Additionally, it delves into the mathematical and computational aspects of stochastic control, aligning with modern concepts like Sustainable Development Goals and Green Transformation. It bridges the gap between experimentalists, who face practical issues without strong theoretical foundations, and theoreticians, who often propose idealized solutions. It does so by using stochastic modeling and control theory to foster balance between the environment and humanity.

  • Modeling, Dynamics and Control approaches for Modern Robotics

    • 1st Edition
    • Ahmad Taher Azar + 1 more
    • English
    Modeling, Dynamics and Control approaches for Modern Robotics explores and investigates various theoretical and practical principles related to modeling, dynamics, and control in robotics. The objective is to enhance the understanding and development of robotic systems by applying these principles. Through accurate representations of robot kinematics and dynamics, researchers aim to effectively analyze and predict robot behavior. This title focuses on designing algorithms and control strategies for precise and efficient robotic system management.Additiona... the book delves into sensory feedback and perception systems for robots, advancements in autonomous vehicles, industrial automation, humanoid robots, and medical robotics, showcasing the integration of technology and computing power in modern applications. The study of control approaches and the development of optimized performance schemes are highlighted, demonstrating the significance of stability and adaptive response in changing environments. This comprehensive examination underscores the evolution and complexity of robotic systems, emphasizing their growing role in various sectors.

  • Adaptive Backstepping Consensus Control for Nonlinear Multi-Agent Systems

    • 1st Edition
    • Lin Zhao + 1 more
    • English
    Adaptive Backstepping Consensus Control for Nonlinear Multi-Agent Systems: Command Filtered Backstepping offers a new design solution for students, researchers, and engineers working on distributed cooperative control problems for nonlinear multi-agent systems. The book is structured around six key topics, focusing on command filtered backstepping-based distributed adaptive consensus control. By combining command filtered backstepping techniques with adaptive control, fuzzy logic systems, neural networks, and other control approaches, the book investigates and proposes control schemes for the consensus control problem of nonlinear multi-agent systems. Readers will gain a comprehensive understanding of consensus control based on adaptive command filtered backstepping technology.

Related subjects