基于Pade近似变换,将小时滞饱和系统的稳定域估计转化为估计奇异摄动饱和系统的稳定域问题.证明了此奇异摄动饱和系统的稳定域具有可解耦性,并在此基础上建立LMI优化模型并提出小时滞饱和系统稳定域估计的降阶方法.算例仿真验证了方法的正确性和有效性.
Based on Pade approximation, the stability region estimation for dynamical systems with saturation nonlinearities and a short time-delay is transformed to that for singular perturbation systems with saturation nonlinearities (SPSSN). The stability region of the singular systems with saturation nonlinearities is proved to be decomposable when the time-delay is short enough. Based on this characteristic, we develop a linear matrix inequality(LMI) optimization model, and propose an order-reduction method for estimating the stability region of systems with saturation nonlinearities and a short time-delay. Simulation results show the effectiveness and the validity of the proposed method.