Feasibility study of active roll stabilizer for reducing roll angle of an experimental medium-duty truck : Yuhji Kusahara, Xiansheng Li, Nobuo Hata, Yoshito Watanabe (Nissan Diesel Motor Co., Ltd./Japan), pp. 343–348, 12 figs., 3 refs.

• Book ID: 103904940
• Publisher: Elsevier Science
• Year: 1995
• Tongue: English
• Weight: 278 KB
• Volume: 16
• Category: Article
• ISSN: 0389-4304
• DOI: 10.1016/0389-4304(95)94941-f

✦ Synopsis

pp. 305-310, 11 figs., 4 refs.

This paper presents a new design method of nonlinear semi-active suspensions based on the integration of neural networks and bilinear systems. It is known that semi-active suspensions with ideal linear components have a bilinear structure. However actual semi-active suspensions with nonlinear components have an structure which is not purely bilinear. In order to improve the performance of semi-active suspensions, nonlinear neural networks and bilinear systems are integrated and used for the identification and optimal control of nonlinar semi-active suspensions. The validity and applicability of the proposed method are analyzed and verified theoretically and experimentally using a semi-active suspension model equipped with fast-response piezo-electric actuators.