Deqing Huang – författare
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4 produkter
4 produkter
Häftad, Engelska, 2019
1 510 kr
Skickas inom 10-15 vardagar
Precision Motion Systems: Modeling, Control, and Applications presents basic dynamics and the control knowledge needed for the daily challenges of researchers and professionals working in the field. The book explains accurate dynamics and control algorithms, along with experimental validation of precision systems in industrial, medical, airborne and spaceborne applications. By using the proposed experimental designs, readers will be able to make further developments and validations.
Presents accurate dynamics and control algorithms in industrial, medical, airborne and spaceborne applications Explains basic dynamics and control knowledge, such as Laplace transformations and stability analysis Teaches how to design, develop and control typical precision systems
E-bok
Engelska, 20192 113 kr
Läs direkt efter köp
Precision Motion Systems: Modeling, Control, and Applications presents basic dynamics and the control knowledge needed for the daily challenges of researchers and professionals working in the field. The book explains accurate dynamics and control algorithms, along with experimental validation of precision systems in industrial, medical, airborne and spaceborne applications. By using the proposed experimental designs, readers will be able to make further developments and validations.- Presents accurate dynamics and control algorithms in industrial, medical, airborne and spaceborne applications- Explains basic dynamics and control knowledge, such as Laplace transformations and stability analysis- Teaches how to design, develop and control typical precision systems
Häftad, Engelska, 2026
1 618 kr
Skickas inom 10-15 vardagar
Network-Constrained Data-Driven Control of High-Speed Rail Systems: Adaptive and Learning-Based Approaches addresses critical challenges in high-speed railway (HSR) operational control systems, focusing on enhancing safety, efficiency, and automation in an era of rapid network expansion. The book introduces a transformative framework for data-driven adaptive control and multi-train cooperative control under dynamic network constraints. It integrates next-generation 5G-R communication to enable real-time train-to-train (T2T) coordination, reducing dependency on fixed infrastructure and addressing vulnerabilities like faded channels and interference. By combining rigorous theoretical analysis with simulations, the book proposes solutions to improve operational precision, resilience against disruptions, and transportation capacity.This resource is helpful for researchers, engineers, and graduate students in high speed railway control systems, offering innovative strategies to advance autonomous operations and meet the demands of high-density, high-speed rail networksPresents a data-driven adaptive and learning control framework for high-speed trains under network constraintsDiscusses the theory and method of multi-train cooperative control in detail: particularly, how to realize real-time information interaction and dynamic adjustment between trains with the support of train-to-train communicationDiscusses the influence of network constraints (such as fading measurement, malicious attacks, etc.) on train cooperative control, and proposes a series of compensation strategiesFocuses on current, high-speed rail control technology, but also contains a forward-looking discussion of future high-speed rail communication and control technology, such as the application of 5G-R communication system and autonomous driving technology
E-bok
Engelska, 20262 046 kr
Läs direkt efter köp
Network-Constrained Data-Driven Control of High-Speed Rail Systems: Adaptive and Learning-Based Approaches addresses critical challenges in high-speed railway (HSR) operational control systems, focusing on enhancing safety, efficiency, and automation in an era of rapid network expansion. The book introduces a transformative framework for data-driven adaptive control and multi-train cooperative control under dynamic network constraints. It integrates next-generation 5G-R communication to enable real-time train-to-train (T2T) coordination, reducing dependency on fixed infrastructure and addressing vulnerabilities like faded channels and interference. By combining rigorous theoretical analysis with simulations, the book proposes solutions to improve operational precision, resilience against disruptions, and transportation capacity.This resource is helpful for researchers, engineers, and graduate students in high speed railway control systems, offering innovative strategies to advance autonomous operations and meet the demands of high-density, high-speed rail networks- Presents a data-driven adaptive and learning control framework for high-speed trains under network constraints- Discusses the theory and method of multi-train cooperative control in detail: particularly, how to realize real-time information interaction and dynamic adjustment between trains with the support of train-to-train communication- Discusses the influence of network constraints (such as fading measurement, malicious attacks, etc.) on train cooperative control, and proposes a series of compensation strategies- Focuses on current, high-speed rail control technology, but also contains a forward-looking discussion of future high-speed rail communication and control technology, such as the application of 5G-R communication system and autonomous driving technology