Advances in Nonlinear Dynamical Systems and Robotics

Aim & scope

Nonlinear Dynamical Systems: The series covers various aspects of nonlinear dynamical systems, including mathematical modeling, stability analysis, bifurcation theory, chaos theory, and control strategies. It explores the dynamics of complex systems and their behavior in response to nonlinear interactions.

Robotics and AI: The series focuses on the intersection of robotics and artificial intelligence, highlighting the role of AI techniques in enhancing robotic systems. It encompasses areas such as robot perception, motion planning, machine learning, cognitive robotics, swarm robotics, human-robot interaction, and autonomous systems.

Robotic Applications: The series emphasizes the practical applications of robotics and AI across different domains. It explores robotic systems in fields such as manufacturing, healthcare, transportation, agriculture, space exploration, entertainment, and disaster response. The book series aims to showcase state-of-the-art robotic applications and their impact on society.

Control and Optimization: The series delves into control theory and optimization techniques applied to nonlinear dynamical systems and robotic platforms. It covers topics such as adaptive control, optimal control, robust control, hybrid systems, multi-agent systems, and evolutionary algorithms.

Emerging Trends and Future Directions: The series aims to shed light on emerging research areas, technological advancements, and future directions in the fields of nonlinear dynamical systems and robotics. It explores topics like soft robotics, bio-inspired systems, swarm intelligence, explainable AI, human-centered robotics, and ethical considerations in autonomous systems.

The book series "Advances in Nonlinear Dynamical Systems and Robotics" serves as a valuable resource for researchers, graduate students, and professionals interested in gaining a deeper understanding of the theoretical foundations, practical applications, and interdisciplinary nature of nonlinear dynamical systems and robotics. It encourages the dissemination of high-quality research, innovative methodologies, and transformative ideas that have the potential to shape the future of these fields.

Coverage & approach

The book series on "Advances in Nonlinear Dynamical Systems and Robotics" is targeted towards a diverse audience with an interest in the fields of robotics, control systems, artificial intelligence (AI), and computational intelligence. The series aims to cater to both academics and professionals who are involved in research, development, and application of advanced technologies in these areas.

Researchers and Academics: The series provides a valuable resource for researchers and academics working in the fields of robotics, control systems, AI, and computational intelligence. It presents cutting-edge research, theoretical advancements, and practical applications, making it an essential reference for those involved in advancing the knowledge and understanding of these fields. The series covers a wide range of topics, including nonlinear dynamics, motion planning, robot control, swarm robotics, intelligent systems, and evolutionary algorithms, appealing to researchers and academics looking to explore new ideas and stay updated with the latest developments.

Professionals in Robotics and Automation: Professionals working in the robotics and automation industry will find the series highly beneficial. It offers insights into state-of-the-art techniques, methodologies, and applications related to nonlinear dynamical systems and robotics. The series covers topics such as robot design, dynamics and kinematics, control algorithms, human-robot interaction, machine learning in robotics, and sensor integration. Professionals in industries such as manufacturing, logistics, healthcare, and transportation can leverage this series to enhance their knowledge, optimize processes, and develop innovative solutions using advanced robotics technologies.

Engineers and Practitioners: Engineers and practitioners who are involved in designing, implementing, and deploying control systems and intelligent robots will find the series to be a valuable resource. It provides practical guidance, case studies, and real-world examples that highlight the challenges and solutions encountered in the field. The series addresses topics such as adaptive control, robust control, optimization techniques, sensor fusion, motion planning, and navigation, catering to the needs of engineers and practitioners seeking to improve the performance, efficiency, and safety of their systems.

Students and Educators: The book series serves as an excellent reference for students pursuing degrees or courses related to robotics, control systems, AI, and computational intelligence. It offers a comprehensive and accessible introduction to fundamental concepts, theories, and applications in these fields. The series covers both theoretical foundations and practical aspects, making it suitable for undergraduate and graduate students. Educators can also utilize the series as a teaching resource to enhance their course materials and provide students with a broader perspective on the subject matter.

In conclusion, the book series on "Advances in Nonlinear Dynamical Systems and Robotics" caters to a wide audience ranging from researchers and academics to professionals, engineers, practitioners, students, and educators. By covering topics such as robotics, control systems, AI, and computational intelligence, the series offers valuable insights, cutting-edge research, and practical applications to readers seeking to explore and advance their knowledge in these exciting fields.

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Series volumes

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  Renewable Energy Systems(opens in new tab/window)

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  Design, Analysis and Applications of Renewable Energy Systems(opens in new tab/window)

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  Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications(opens in new tab/window)

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  Unmanned Aerial Systems(opens in new tab/window)

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  Backstepping Control of Nonlinear Dynamical Systems(opens in new tab/window)

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  Fractional Order Systems(opens in new tab/window)