Model-Based Control of Mass–Stiffness–Damping Systems / by Hai-An Zhu.

Format:

Book

Author/Creator:

Zhu, Hai-An.

Series:

Advances in Industrial Control, 2193-1577

Language:

English

Subjects (All):

Automatic control.

Multibody systems.

Vibration.

Mechanics, Applied.

Statics.

Automotive engineering.

Aerospace engineering.

Astronautics.

Robotics.

Control and Systems Theory.

Multibody Systems and Mechanical Vibrations.

Mechanical Statics and Structures.

Automotive Engineering.

Aerospace Technology and Astronautics.

Robotic Engineering.

Local Subjects:

Control and Systems Theory.

Multibody Systems and Mechanical Vibrations.

Mechanical Statics and Structures.

Automotive Engineering.

Aerospace Technology and Astronautics.

Robotic Engineering.

Physical Description:

1 online resource (464 pages)

Edition:

1st ed. 2026.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2026.

Summary:

This book provides a comprehensive and practical framework for model-based control of MKC (mass–stiffness–damping or mass–spring–damper) systems, emphasizing seamless integration of theory and application. It explores the intricacies of modeling and control strategies tailored to the complexities of MKC systems, prevalent in various industrial applications. Clear explanations and real-world examples equip readers with advanced techniques for enhancing system performance, robustness, and adaptability in the face of nonlinearities and uncertainties. Key topics include: fundamentals of MKC system modeling; strategies for feedback linearization and dynamic decoupling; and robust control techniques essential for managing real-world systems. This book is an important resource for anyone dealing with multivariable systems, introducing innovative approaches to disturbance and uncertainty reduction, and decentralized adaptive pole placement. It addresses the need for robust and adaptable control strategies that can handle the inherent complexities and uncertainties of MKC systems, often encountered in industries like robotics, automotive engineering, and aerospace. Collectively, these topics help engineers and researchers deal with common challenges in designing controllers for systems with complex dynamics and interactions. Model-Based Control of Mass–Stiffness–Damping Systems is valuable for control engineers, researchers, and postgraduate students looking to enhance their understanding and practical familiarity with advanced control methods. Offering a generally applicable and expandable control framework, this book enables immediate practical improvements in existing control schemes and a solid foundation for further exploration and innovation in the control of complex dynamic systems.

Contents:

Chapter 1. Introduction

Part I. Modeling

Chapter 2. Mathematical Models

Chapter 3. Model Identification

Chapter 4. Model Reduction

Chapter 5. Controllability and Observability of MKC Systems

Part II. Basic Control

Chapter 6. Model-Based Feedback Linearization

Chapter 7. Synthesis of Outer-Loop Controllers

Part III. Enhanced Control

Chapter 8. Model-based Decoupling

Chapter 9. Model-based Disturbance Rejection and Uncertainty Attenuation

Chapter 10. Enhanced Model-Following Control

Chapter 11. Structural Properties of Model-following Schemes

Chapter 12. Enhanced Feedforward Control

Chapter 13. Enhanced Model-Reference Adaptive Control

Chapter 14. Enhanced Internal Model Control

Chapter 15. Machine Learning in Modeling and Control

Chapter 16. Concluding Remarks

Appendices

Index.

Notes:

Description based on publisher supplied metadata and other sources.

Other Format:

Print version: Zhu, Hai-An Model-Based Control of Mass-Stiffness-Damping Systems

ISBN:

9783031975929

OCLC:

1561172462