Abstract
Geometric techniques of controller design for nonlinear systems have enjoyed great success. A serious shortcoming, however, has been the need for access to full-state feedback. This paper addresses the issue of state estimation from limited sensor measurements in the presence of parameter uncertainty. An adaptive nonlinear observer is suggested for Lipschitz nonlinear systems and the stability of this observer is shown to be related to finding solutions to a quadratic inequality involving two variables. A co-ordinate transformation is used to reformulate this inequality as a Linear Matrix Inequality. A systematic algorithm is presented which checks for feasibility of a solution to the quadratic inequality and yields an observer whenever the solution is feasible. The state estimates then are guaranteed to converge to zero asymptotically. The convergence of the parameters, however, is determined by a persistence-of-excitation type constraint.
Original language | English (US) |
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Title of host publication | IEEE International Symposium on Intelligent Control - Proceedings |
Editors | Anon |
Publisher | IEEE |
Pages | 478-482 |
Number of pages | 5 |
State | Published - Jan 1 1995 |
Event | Proceedings of the 10th IEEE International Symposium on Intelligent Control - Monterey, CA, USA Duration: Aug 27 1995 → Aug 29 1995 |
Other
Other | Proceedings of the 10th IEEE International Symposium on Intelligent Control |
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City | Monterey, CA, USA |
Period | 8/27/95 → 8/29/95 |