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.

在线参数估计与自适应控制（即与时间有关的工厂）一起很重要。这项研究同时使用了在线识别和带有速度反馈的简单自适应控制算法。递归最小二乘法用于确定结构层的刚度和阻尼参数。鉴定是在线进行的，无需初步估计，仅通过测量结构响应即可。检查有关传感器测量，参数收敛和协方差矩阵的影响的有限信息。结合应用的在线辨识，简单自适应控制中适当的参考模型选择以及采用比例积分滤波器的方法，来限制结构控制响应误差。模拟了一些数值示例，以验证所提出方法的能力。尽管信息有限，但结果表明，将在线识别与递归最小二乘法和简单的自适应控制算法同时使用，可以改善整体结构性能。