H_∞Control for Discrete-Time Markov Jump Systems With Uncertain Transition Probabilities

Hierarchical gradient parameter estimation algorithm for Hammerstein nonlinear systems using the key term separation principle

“…The proposed hierarchical MISG algorithm has a higher accuracy compared with the hierarchical SG algorithm, and can be applied in dealing with the parameter identification of other linear systems [34][35][36][37][38], nonlinear systems [39] and multirate sampled systems [40][41][42] and can be used to system control and filtering [43][44][45] and fault-tolerant control [46][47][48][49].…”

The model equivalence based parameter estimation methods for Box–Jenkins systems

“…System identification contains the system structure identification and parameter estimation. Parameter estimation plays an important part in the filtering [5,6,7], state estimation [8,9], system control [10,11] and others [12]. Because of the use of the system identification in many fields [13,14], many identification methods were proposed, such as the least squares (LS) methods [15,16] and the hierarchical identification methods [17].…”

Performance analysis of the recursive parameter estimation algorithms for multivariable Box–Jenkins systems

“…Parameter estimation has wide applications in system identification [1][2][3][4], signal processing [5,6], controller design [7][8][9], state estimation and filtering [10,11] and Adaptive fault-tolerant control [12][13][14][15], etc. Existing estimation methods can be roughly divided into three categories: the one-shot algorithms [16], the recursive methods [17][18][19] and the iterative methods [20][21][22].…”