Hua Changchun, Guan Xinping, Shi Peng
Institute of Electrical Engineering, Yanshan University, Qinhuangdao City 066004, China.
IEEE Trans Neural Netw. 2007 Mar;18(2):495-505. doi: 10.1109/TNN.2006.888368.
In this paper, the problem of robust output tracking control for a class of time-delay nonlinear systems is considered. The systems are in the form of triangular structure with unmodeled dynamics. First, we construct an observer whose gain matrix is scheduled via linear matrix inequality approach. For the case that the information of uncertainties bounds is not completely available, we design an observer-based neural network (NN) controller by employing the backstepping method. The resulting closed-loop system is ensured to be stable in the sense of semiglobal boundedness with the help of changing supplying function idea. The observer and the controller designed are both independent of the time delays. Finally, numerical simulations are conducted to verify the effectiveness of the main theoretic results obtained.
本文考虑了一类时滞非线性系统的鲁棒输出跟踪控制问题。这些系统具有三角结构且存在未建模动态。首先,我们构造一个观测器,其增益矩阵通过线性矩阵不等式方法进行调度。对于不确定性界限信息不完全可用的情况,我们采用反步法设计基于观测器的神经网络(NN)控制器。借助变供应函数思想,确保所得闭环系统在半全局有界意义下稳定。所设计的观测器和控制器均与时间延迟无关。最后,进行数值仿真以验证所获得的主要理论结果的有效性。