OFS model-based adaptive control for block-oriented nonlinear systems
Zhang H.T. and Zhang C and Chen Z.H. and Li M and Xiang W
Transactions of the Institute of Measurement and Control, Volume 28, Number 3, Pages 209-218, May 2006Abstract
A non-linear state feedback algorithm based on an OFS (orthonormal functional series) model
combined with Volterra Functional Series is proposed to solve block-oriented non-linear systems. This algorithm has excellent approximation ability for the variance of system timedelay,and can guarantee the closed-loop robust stability and the zero steady-state error property. In addition, it has lower online optimization computational load when dealing with the hard input constraints in contrast to traditional NMPC (non-linear model predictive control) based on the OFS model. The analyses of the stability and robustness of this algorithm are put forward systemically, and the steady-state performance analysis is also given. Case studies involving simulations on a Wiener-type non-linear system and temperature experiments on a simulation chemical reactor are used to validate the efficiency and superiority of this proposed algorithm.
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BibTex Entry
- @Article{,
- author = {Zhang H.T. and Zhang C and Chen Z.H. and Li M and Xiang W},
- journal = {Transactions of the Institute of Measurement and Control},
- title = {OFS model-based adaptive control for block-oriented nonlinear systems},
- year = {2006},
- month = {May},
- number = {3},
- pages = {209-218},
- volume = {28}
- }
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