Hysteresis and Parameter Estimation of Mdof Systems by a Continuous-Time Least Squares Method

Garrido, R.; Rivero-Angeles, F.J.

doi:10.1080/13632460609350595

Cited by 10 publications

(1 citation statement)

References 18 publications

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“…System identification and plant control have been evaluated separately in various studies. The least squares (LS) estimation method has been widely used in system identifications for adaptive tracking (Yang and Lin, 2005), identification with unknown inputs (Garrido and Rivero-Angeles, 2006; Ji et al, 2019), combinations with other algorithms including GA, etc (Zhu et al, 2019). Also, other identification methods, such as the extended Kalman filter (EKF) method, have been conducted to identify the characteristics of the MR damper (Su et al, 2018), identify structural parameters with unknown inputs (Liu et al, 2016), and combine the EKF-WGI and WAI algorithms (Xu and He, 2015).…”

Section: Introductionmentioning

confidence: 99%

Online parameter estimation and adaptive control with limited information in structures

Amini

Aghabarari

2021

Journal of Vibration and Control

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An online parameter estimation is important along with the adaptive control, that is, a time-dependent plant. This study uses both online identification and the simple adaptive control algorithm with velocity feedback. The recursive least squares method was used to identify the stiffness and damping parameters of the structure’s stories. Identification was carried out online without initial estimation and only by measuring the structural responses. The limited information regarding sensor measurements, parameter convergence, and the effects of the covariance matrix is examined. The integration of the applied online identification, the appropriate reference model selection in simple adaptive control, and adopting the proportional integral filter was used to limit the structural control response error. Some numerical examples are simulated to verify the ability of the proposed approach. Despite the limited information, the results show that the simultaneous use of online identification with the recursive least squares method and simple adaptive control algorithm improved the overall structural performance.

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