机译:Hammerstein状态空间模型的基于不动点迭代的子空间识别
Chongqing Univ Posts & Telecommun Coll Automat Chongqing 400065 Peoples R China|Minist Educ Key Lab Ind Internet Things & Networked Control Chongqing 400065 Peoples R China;
Wuhan Univ Dept Automat Wuhan 430072 Hubei Peoples R China;
least squares approximations; identification; singular value decomposition; parameter estimation; Markov processes; convergence; state-space methods; iterative methods; two-stage least-squares-based iterative method; static non-linearity; fixed point theory; singular value decomposition based method; linear subsystem parameters; extended Markov parameters; nonlinear subsystem; linear dynamics; hierarchical identification principle; fixed point iteration-based subspace identification method; Hammerstein state-space models;
机译:具有不连续非线性的Hammersein状态空间模型描述的非线性动力系统的识别
机译:Hammerstein和Wiener模型的基于子空间的识别算法
机译:Hammerstein和Wiener模型的基于子空间的识别算法
机译:子空间状态空间系统识别数值算法的汽车动力学模型的实验识别
机译:状态空间系统识别中子空间方法的性能分析。
机译:使用固定步骤欧拉方法的分数级状态空间系统建模的平行实现
机译:用于识别结构状态空间模型的约束子空间方法(COSMOS)