Please use this identifier to cite or link to this item: https://doi.org/10.1023/A:1012583811904
Title: Adaptive-predictive control of a class of SISO nonlinear systems
Authors: Tan, K.K. 
Lee, T.H. 
Huang, S.N. 
Leu, F.M. 
Keywords: Adaptive control
Nonlinear systems
Predictive control
Stability
System model
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
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