“…State and parameter estimation is involved in many applications such as nonlinear systems (Dochain, 2003;Raïssi, Ramdani, & Candau, 2004), stochastic systems (Chen, Morris, & Martin, 2005) and spatiotemporal systems (Aram, Kadirkamanathan, & Anderson, 2015;Dewar & Kadirkamanathan, 2007). A large number of estimation methods such as the Bayesian methods (Krishnanathan, Anderson, Billings, & Kadirkamanathan, 2016;Pan, Yuan, Gonçalves, & Stan, 2016), the maximum likelihood methods (Gu, Liu, Li, Chou, & Ji, 2019), the least squares methods (Mu, Bai, Zheng, & Zhu, 2017), the iterative identification methods (Ding, Xu, Meng, Jin, & Alsaedi, 2019;Pan, Jiang, Wan, & Ding, 2017) and the separated least squares methods (Gan, Chen, Chen, & Chen, 2018;Gan & Li, 2014) have been developed for identification.…”