Abstract
Controlling non-affine nonlinear systems is a challenging problem in the control community. In this paper, an adaptive neural control approach is presented for the completely non-affine pure-feedback system with only one mild assumption. By combining adaptive neural design with input-to-state stability (ISS) analysis and the small-gain theorem, the difficulty in controlling non-affine pure-feedback system is overcome by achieving the so-called "ISS-modularity" of the controller-estimator. The ISS-modular approach provides an effective way for controlling non-affine nonlinear systems with uncertainties. Simulation studies are included to demonstrate the effectiveness of the proposed approach.
Original language | English |
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Title of host publication | Proceedings of the 20th IEEE International Symposium on Intelligent Control, ISIC '05 and the 13th Mediterranean Conference on Control and Automation, MED '05 |
Publisher | IEEE, Institute of Electrical and Electronics Engineers |
Pages | 298-303 |
Number of pages | 6 |
ISBN (Print) | 0780389360, 9780780389366 |
DOIs | |
Publication status | Published - 2005 |
Externally published | Yes |
Event | IEEE International Symposium on Intelligent Control 2005 - Limassol, Cyprus Duration: 27 Jun 2005 → 29 Jun 2005 Conference number: 20th https://ieeexplore.ieee.org/xpl/conhome/9900/proceeding (Proceedings) |
Conference
Conference | IEEE International Symposium on Intelligent Control 2005 |
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Abbreviated title | ISIC '05 |
Country/Territory | Cyprus |
City | Limassol |
Period | 27/06/05 → 29/06/05 |
Internet address |
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