TY  - GEN
N1  - This version is the author accepted manuscript. For information on re-use, please refer to the publisher?s terms and conditions.
EP  - 2498
SP  - 2493
AV  - public
Y1  - 2018/06//
TI  - Deadbeat Simultaneous Parameter-State Estimation for Linear Continuous-time Systems: a Kernel-based Approach
KW  - Kernel

KW  - 
Convergence

KW  - 
MISO communication

KW  - 
Observers

KW  - 
Algebra

KW  - 
Europe
A1  - Peng, L
A1  - Boem, F
A1  - Pin, G
A1  - Parisini, T
UR  - https://doi.org/10.23919/ECC.2018.8550508
PB  - IEEE
ID  - discovery10046406
N2  - The simultaneous estimation of parameters and states in continuous-time linear MISO systems is considered in this paper. The estimates of system's parameters and states are provided simultaneously by a single estimator, where Volterra operators are suitably applied to the I/O measurements. This makes the estimator independent on the initial conditions thanks to the design of suitably shaped kernel functions equipped with non-asymptotic properties. As a result, in the noise-free scenario, instantaneous convergence can be obtained. Nohigh-gain injection nor periodic resetting is necessary. Numerical examples are reported showing the effectiveness of the proposed estimator.
ER  -