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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.

BooksJournals

    • Swarm Robotics Solutions for National Security and Marine Forensics

      • 1st Edition
      • May 1, 2026
      • Adarsh Kumar + 3 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 3 6 2 1 8
      • eBook
        9 7 8 0 4 4 3 3 3 6 2 2 5
      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.

    • Stochastic Control in Energy, Environmental and Resource Management Applications

      • 1st Edition
      • May 1, 2026
      • Hidekazu Yoshioka + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 2 9 2 6 5
      • eBook
        9 7 8 0 4 4 3 3 2 9 2 7 2
      Stochastic Control in Energy, Environmental and Resource Management Applications presents a comprehensive exploration of stochastic control and 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, it 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. This book bridges the gap between experimentalists, who face practical issues without strong theoretical foundations, and theoreticians, who often propose idealised solutions. It does so by using stochastic modeling and control theory to foster a more sustainable balance between the environment and humanity.

    • Time-Synchronized Control and Applications for Autonomous Systems

      • 1st Edition
      • March 1, 2026
      • Dongyu Li
      • English
      • Paperback
        9 7 8 0 4 4 3 3 3 7 1 8 5
      • eBook
        9 7 8 0 4 4 3 3 3 7 1 9 2
      Time-Synchronized Control and Applications for Autonomous Systems presents a pioneering approach to control problems by introducing time-synchronized stability, where every system state converges to the origin simultaneously. This innovative concept addresses unique finite, fixed, or predefined-time stability considerations, marking a significant advancement in control theory. The book offers readers a thorough understanding of both the theoretical foundations and practical implementations of time-synchronized control, emphasizing its potential to transform the management of autonomous systems. With clear explanations and real-world examples, it serves as an essential resource for engineers, researchers, and students involved in modern control systems.In addition to its core focus, the book explores a broad spectrum of practical applications, such as spacecraft attitude control, satellite orbit management, dynamic vessel positioning, and cooperative control of autonomous vehicles. It examines various control system models, including disturbed, chaotic, multi-input multi-output (MIMO), nonlinear, and Euler-Lagrange systems.

    • Stabilization of Uncertain Fractional-Order Neutral-Type Delay Systems

      • 1st Edition
      • December 1, 2025
      • António M. Lopes + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 4 0 2 3 9
      • eBook
        9 7 8 0 4 4 3 3 4 0 2 4 6
      Stabilization of Uncertain Fractional-Order Neutral-Type Delay Systems presents an in-depth exploration of the challenges faced in stabilizing fractional-order systems with uncertainties, particularly those involving neutral-type delays. The book opens with a thorough introduction before advancing from constant fractional-order neutral-type systems (CFONT) to variable fractional-order counterparts (VFONT). Addressing real-world issues such as control input saturation and actuator delay, the book discusses both non-optimal and sub-optimal control approaches, including guaranteed cost controllers (GCC). It delves into output-feedback control as a viable alternative and compares static and dynamic feedback controllers, noting that dynamic controllers can enhance transient response but introduce additional complexity.These methods ensure closed-loop system stability and performance by providing clear stabilization conditions expressed as linear matrix inequalities (LMIs), which can be efficiently solved using tools like MATLAB’s LMI toolbox or freely available software such as SEDUMI and YALMIP. Beyond theory, the book examines state- and output-feedback controller structures, acknowledging the practical limitations of accessing all system states.

    • Adaptive Backstepping Consensus Control for Nonlinear Multi-Agent Systems

      • 1st Edition
      • December 1, 2025
      • Lin Zhao + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 4 1 6 4 4 6
      • eBook
        9 7 8 0 4 4 3 4 1 6 4 5 3
      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.

    • Modeling, Dynamics and Control approaches for Modern Robotics

      • 1st Edition
      • December 1, 2025
      • Ahmad Taher Azar + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 0 1 0 6 3
      • eBook
        9 7 8 0 4 4 3 3 0 1 0 7 0
      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.

    • Nonlinear Dynamics Approach to Robotic Capsule Endoscopy

      • 1st Edition
      • November 28, 2025
      • Yang Liu + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 8 8 3 2 6
      • eBook
        9 7 8 0 4 4 3 2 8 8 3 3 3
      Nonlinear Dynamics Approach to Robotic Capsule Endoscopy is an innovative resource that explores the development and progress of self-propelled capsule robots for medical use. This book guides readers from the initial conceptual stages to the final proof-of-concept demonstrations, with a special focus on applied dynamics principles. It introduces various mathematical modeling techniques that allow these robots to navigate and propel themselves within the human intestine. Researchers, professors, engineers, and postgraduate students alike will find this a crucial addition to their libraries.The book's multidisciplinary approach ensures a thorough understanding of the subject, enabling the design of new driving technologies for capsule endoscopy. It combines theoretical foundations with practical insights, making it an invaluable resource for applied mathematics, robotics, and biomechanical engineering. The comprehensive coverage of this book provides guidance in designing and optimizing advanced medical devices, pushing the boundaries of current medical practices and advancing the field of capsule endoscopy.

    • Reliability Analysis and Modeling for Complex Systems

      • 1st Edition
      • November 14, 2025
      • Seifedine Kadry + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 3 6 5 5 3
      • eBook
        9 7 8 0 4 4 3 3 3 6 5 6 0
      Reliability Analysis and Modeling for Complex Systems is a crucial resource for engineers and technologists grappling with modern challenges. As technology advances and safety concerns mount, the complexity of systems like autonomous vehicles and critical infrastructure demands innovative reliability assessment methods. This book bridges theory and practice, offering practical solutions for professionals navigating the intricate world of reliability engineering. Through real-world case studies and interdisciplinary insights, it equips readers to address the multifaceted challenges of ensuring dependability in today's interconnected technological landscape.

    • Human-Machine interfaces in Medical Robotics

      • 1st Edition
      • November 1, 2025
      • Yanpei Huang + 6 more
      • English
      • Paperback
        9 7 8 0 4 4 3 1 3 7 2 3 5
      • eBook
        9 7 8 0 4 4 3 1 3 7 2 4 2
      Human-Machine Interfaces in Medical Robotics presents essential and advanced information on developing intuitive human-machine interfaces (HMI) for robotic surgery and rehabilitation. This book provides extensive coverage of multidisciplinary information needed to develop efficient HMI, discussing core technologies of the field, including hand-free control strategies, sensory feedback, data-driven approaches, human-robot shared control, autonomous control, human motor adaption, training, and learning.Arranged in three parts, including interfaces in medical robotics, intelligent machines, and human users, this book provides potential solutions to open questions like what the optimal interface and efficient interaction mode is to facilitate a surgeon’s operation, a patient’s motor control, or human augmentation.

    • Spatio-Temporal Learning and Monitoring for Complex Dynamic Processes with Irregular Data

      • 1st Edition
      • July 25, 2025
      • Chunhui Zhao + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 3 6 7 5 1
      • eBook
        9 7 8 0 4 4 3 3 3 6 7 6 8
      Spatio-Temporal Learning Using Irregular Data for Complex Dynamic Processes introduces learning, modeling, and monitoring methods for highly complex dynamic processes with irregular data. Two classes of robust modeling methods are highlighted, including low-rank characteristic of matrices and heavy-tailed characteristic of distributions. In this class, the missing data, ambient noise, and outlier problems are solved using low-rank matrix complement for monitoring model development. Secondly, the Laplace distribution is explored, which is adopted to measure the process uncertainty to develop robust monitoring models.The book not only discusses the complex models but also their real-world applications in industry.

Related subjects

Adaptive control

Aerospace control

Architectures

Artificial intelligence in control

Biological control systems

Computer aided control systems design

Control applications

Control of chemical and biotechnological processes

Control of non linear systems

Control of power systems

Control systems

Control theory

Fault detection and safety of control systems

Fuzzy control neural systems and genetic algorithms

Land vehicles control

Man machine systems

Manufacturing and instrumentation

Marine systems control

Modelling

Optimal control

Real time control

Robotics

Robust control

Systems identification and signal processing