High gain estimation for nonlinear systems
Systems & Control Letters
Recursive fading memory filtering
Information Sciences: an International Journal
On observer design for nonlinear systems
International Journal of Systems Science
Optimal control of nonlinear systems using RBF neural network and adaptive extended Kalman filter
ACC'09 Proceedings of the 2009 conference on American Control Conference
Nonlinear observers for closed-loop control of a combustion engine test bench
ACC'09 Proceedings of the 2009 conference on American Control Conference
Stereo vision based motion identification
ICIC'07 Proceedings of the intelligent computing 3rd international conference on Advanced intelligent computing theories and applications
Stereo vision based motion parameter estimation
ICIC'09 Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications
IEEE Transactions on Circuits and Systems Part I: Regular Papers - Special section on 2009 IEEE custom integrated circuits conference
Brief Sonar-based robot navigation using nonlinear robust observers
Automatica (Journal of IFAC)
Nonlinear observers comprising high-gain observers and extended Kalman filters
Automatica (Journal of IFAC)
Hi-index | 22.15 |
The topic of this article is a nonlinear observer based on a slight modification of the extended Kalman filter. The purpose of this modification is twofold: first the degree of stability can be assigned in advance and secondly this modification allows an effective treatment of the nonlinearities. Using the second method of Lyapunov it is proved that the proposed observer is an exponential observer. To examine the practical usefulness the proposed observer is applied to the highly nonlinear flux and angular velocity estimation problem for induction machines.