Greatly enhancing the modeling accuracy for distributed parameter   systems by nonlinear time/space separation
  An effective modeling method for nonlinear distributed parameter systems (DPSs) is critical for both physical system analysis and industrial engineering. In this Rapid Communication, we propose a novel DPS modeling approach, in which a high-order nonlinear Volterra series is used to separate the time/space variables. With almost no additional computational complexity, the modeling accuracy is improved more than 20 times in average comparing with the traditional method. 
Hai-Tao Zhang, Chen-Kun Qi, Tao Zhou, and Han-Xiong Li