{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,22]],"date-time":"2025-02-22T05:26:50Z","timestamp":1740202010966,"version":"3.37.3"},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"abstract":"<jats:p>Distributed drive electric vehicle steering system affect the vehicle handling stability, active safety and ride comfort and other performance. Electric power steering (EPS) is a new vehicle power steering technology, in line with the automotive energy conservation, environmental development theme, consistent with the theme of the development of automotive electronics, intelligent vehicles, and become the focus of attention for domestic and foreign auto industry experts and scholars. The dynamic model of EPS is established, and the influence of the perturbation of parameters such as parameter perturbation, sensor measurement noise and external disturbance in the dynamic model of electric power steering control system is analyzed by using H&amp;infin;control theory. In the process of solving controller, the weight function modeling and linear fractional transformation theory deals with these uncertainties and designs the H&amp;infin;controller of the steering assist process. The performance of the controller is simulated by Matlab. The simulation results show that the controller has good robust stability and robust performance.<\/jats:p>","DOI":"10.3233\/978-1-61499-785-6-299","type":"book-chapter","created":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T10:26:53Z","timestamp":1740133613000},"source":"Crossref","is-referenced-by-count":0,"title":["H"],"prefix":"10.3233","author":[{"family":"Ni Zhang","sequence":"additional","affiliation":[]},{"family":"Zhao Jing-bo","sequence":"additional","affiliation":[]},{"family":"Fan Xin","sequence":"additional","affiliation":[]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Information Technology and Intelligent Transportation Systems"],"original-title":[],"deposited":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T10:54:50Z","timestamp":1740135290000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.medra.org\/servlet\/aliasResolver?alias=iospressISBN&isbn=978-1-61499-784-9&spage=299&doi=10.3233\/978-1-61499-785-6-299"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/978-1-61499-785-6-299","relation":{},"ISSN":["0922-6389"],"issn-type":[{"value":"0922-6389","type":"print"}],"subject":[],"published":{"date-parts":[[2017]]}}}