Intelligent fuzzy weighted input estimation method for the multi-story buildings with unknown ground motion acceleration

✍ Scribed by Tsung-Chien Chen; Ming-Hui Lee; Huai-Min Wang

• Publisher: Elsevier Science
• Year: 2009
• Tongue: English
• Weight: 930 KB
• Volume: 29
• Category: Article
• ISSN: 0267-7261
• DOI: 10.1016/j.soildyn.2009.05.006

✦ Synopsis

This paper presents a novel intelligent fuzzy weighted input estimation method which effiviently and robustly estimates the unknown ground motion accelerations. The new input estimation method includes the Kalman Filter (KF) and the recursive least square estimator (RLSE), which is weighted by the fuzzy weighting factor proposed based on the fuzzy logic inference system. By directly synthesizing the Kalman filter with the estimator, this work presents an efficient robust forgetting zone, which is capable of providing a reasonable compromise between the tracking capability and the flexibility against noises. The excellent performace of this inverse method is demonstrated by solving the earthquake-excitation estimation problem, and the proposed algorithm is compared by alternating between the constant and adaptive weighting factors. The results reveal that this method has the properties of better target tracking capability and more effective noise reduction.