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RISNonlinear System Identification With Gaussian Processes Using Laguerre and Kautz Filters1
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: System identification can be used to determine data-driven mathematical models of dynamic processes. For nonlinear processes, model architectures that are as flexible as possible are required. One possibility is to utilize ...
Reviewer’s Recognition
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The Editor-in-Chief and Editorial Board of the ASME Letters in Dynamic Systems and Control would like to thank all the reviewers for volunteering their expertise and time reviewing manuscripts in 2024. Serving as reviewers ...
H∞ Control Co-Design for Uncertain Polytopic Systems
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Control co-design (CCD) refers to approaches that fully integrate plant and control system interactions, using an optimization-based methodology where physical and control system designs are addressed simultaneously. In ...
Discriminative Feature Extraction Through Dictionary Learning for Piezoelectric Admittance-Based Bolt-Loosening Damage Detection
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Bolt loosening is a major concern in many structural systems, especially in critical applications like pressure vessels. Traditional detection methods, such as acoustic emission, fiber Bragg-grating sensing, and vibration-based ...
Precision Quaternion Estimation With Partially Norm-Constrained Unscented Kalman Filtering
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Accurate orientation estimation is a key challenge in dynamics and control, particularly for rigid body motion. Quaternions are commonly used to represent rotations due to their computational efficiency, but they must ...