Review: Adaptive and Robust Active Vibration Control

This book review discusses "Adaptive and Robust Active Vibration Control – Methodology and Tests" (ARAVC), which focuses on adaptive and robust active control approaches in the field of vibration control. The lead author, Dr. Ioan Landau, is known for his pioneering contributions to hyperstability-based analysis and design in system identification and adaptive controls. Landau’s latest book delivers a comprehensive introduction to system identification methodology, digital control parameterizations, and controller-order reduction. The culmination of these concepts is applied practically to dynamic systems that strategically utilize or are impacted by vibrations. The book features intense experimental results conducted at GIPSA-LAB Grenoble and in benchmark tests performed in the community of vibration controls. Despite the significant relevance of the research topics (and the overarching iterative algorithms), an introductory overview remains not well established for their applications to active and vibration controls of mechanical dynamic systems. In the meantime, the book and corresponding benchmark projects have recently become open-source on such platforms as HAL Open Science and GitHub. Therefore, we believe that this review and resource update would be beneficial and timely. In addition to providing an overview of the subject matter encompassed in the book, this review further aims to impart several key insights to relevant recent results in the domain of vibration controls. These include the practical utilization of adaptive feedforward and feedback vibration controls, the fundamental performance limits, the deployment of Youla-Kucera (YK) parameterization for control design, and the pivotal roles of internal model principle, loop shaping, and infinite-impulse-response (IIR) filter designs. Supplementary reading materials and new open-source resources are provided for extended understanding and quick bootstraping of the book topics. These materials are anticipated to serve as a convenient academic reference for postgraduate students and investigators in the fields of adaptive control, system identification, digital signal processing, and vibration analysis.

Journal article