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|Title:||Adaptive-predictive control of a class of SISO nonlinear systems||Authors:||Tan, K.K.
|Issue Date:||Apr-2001||Citation:||Tan, K.K., Lee, T.H., Huang, S.N., Leu, F.M. (2001-04). Adaptive-predictive control of a class of SISO nonlinear systems. Dynamics and Control 11 (2) : 151-174. ScholarBank@NUS Repository. https://doi.org/10.1023/A:1012583811904||Abstract:||In this paper, an adaptive-predictive control algorithm is developed for a class of SISO nonlinear discrete-time systems based on a generalized predictive control (GPC) approach. The design is model-free, based directly on pseudo-partial-derivatives derived on-line from the input and output information of the system using a recursive least squares type of identification algorithm. The proposed control is especially useful for nonlinear systems with vaguely known dynamics. Robust stability of the closed-loop system is analyzed and proven in the paper. Simulation and real-time application examples are provided for real nonlinear systems which are known to be difficult to model and control.||Source Title:||Dynamics and Control||URI:||http://scholarbank.nus.edu.sg/handle/10635/54950||ISSN:||09254668||DOI:||10.1023/A:1012583811904|
|Appears in Collections:||Staff Publications|
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