论文信息 - Piecewise linear identification of non-linear systems

Piecewise linear identification of non-linear systems

Methods of identifying a series of piecewise linear models which approximate to a non-linear system over some operating range are investigated. Spatial linear models and models with signal-dependent parameters are considered.

S. Billings | W. S. Voon

[1] The representation of nonlinear systems by exhaustive linearization , 1971 .

[2] Chi Hau Chen,et al. Pattern recognition and signal processing , 1978 .

[3] S. Rock,et al. Development of simplified nonlinear models from multiple linearizations , 1978, 1978 IEEE Conference on Decision and Control including the 17th Symposium on Adaptive Processes.

[4] M. Priestley. STATE‐DEPENDENT MODELS: A GENERAL APPROACH TO NON‐LINEAR TIME SERIES ANALYSIS , 1980 .

[5] László Keviczky,et al. Nonlinear System Identification by "Linear" Systems Having Signal-Dependent Parameters , 1982 .

[6] Heinz Unbehauen,et al. On-Line Parameter Estimation in a Class of Nonlinear Systems via Modified Least-Squares and Instrumental Variable Algorithms , 1985 .

[7] Robert Haber,et al. Identification of ‘linear’ systems having signal-dependent parameters † , 1985 .

[8] R. Haber. Nonlinearity Tests for Dynamic Processes , 1985 .