机构地区: 宁波大学信息科学与工程学院
出 处: 《系统工程与电子技术》 2006年第12期1874-1877,共4页
摘 要: 针对一类含有常参数不确定性及外部干扰的Liu混沌系统的跟踪控制问题,采用动态面控制方法设计了一个新颖的非线性自适应鲁棒跟踪控制器。该方法由于在逆推设计过程中结合使用了一阶低通滤波器,从而避免了因“微分项的膨胀”而引起的算法复杂性。理论分析及仿真结果均表明所得到的控制器能够保证闭环系统的半全局渐近稳定,使得输出渐近期望跟踪轨迹,且对不确定性具有良好的适应性及鲁棒性。 For the tracking control problem of Liu chaotic systems containing constant parameter uncertainties and external disturbances, a novel nonlinear adaptive robust tracking controller is designed based on the dynamic surface control method. Because first-order low pass filters are used and combined with the backstepping design procedure in this method, the complexity arising from the "explosion of terms" is avoided finally. The theory analysis and simulation results demonstrate that the proposed controller guarantees the closed-loop semiglobally asymptotically stable and makes the output track the desired trajectory, at the same time, it owns super robustness and adaptability to uncertainties.
关 键 词: 跟踪控制 混沌系统 动态面控制 逆推方法 参数不确定性 外部干扰
领 域: [自动化与计算机技术] [自动化与计算机技术]