%0 Journal Article
%T Random anonymization via multi-objective immune cloning evolution<br>基于多目标免疫克隆进化的随机匿名化算法*
%A WANG Li
%A GONG Zhao-xuan
%A <br>王莉
%A 宫照煊
%J 计算机应用研究
%D 2010
%I 
%X For the conventional integral control for nonlinear systems, designed an improved adaptive integral control method to reduce the steady-state tracking error and prevent integral saturation. The method used feedback linearization to eliminate nonlinearity, and adjusted the proportional factor and integral factor corresponding to the error by introducing penalty functions, then could avoid the large overshoots due to the large initial errors. By using the Lyapunov synthesis approach, it is proved that the closed-loop system is uniformly ultimately bounded in the presence of bounded disturbance force. Theoretical analysis on the stability of the closed-loop system and simulation results show the feasibility of the proposed scheme.
%K privacy protection
%K anonymization
%K multi-objective
%K immune cloning<br>隐私保护
%K 匿名化
%K 多目标
%K 免疫克隆
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=2C61FFF05C4C31FC3FC952757371CF92&yid=140ECF96957D60B2&vid=DB817633AA4F79B9&iid=708DD6B15D2464E8&sid=8967CB91435F214E&eid=333A7EBA0DFB36B5&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=14