In this paper, we propose a new method for implementation of a High-Gain Observer (HGO) to cope with measurement noise through Stochastic Approximation (SA). Most approaches have been using a trade-off between a speed of regeneration of states in the presence of uncertainties and the effect of measurement noise. Through SA, we are able to reserve authentic properties of the HGO i.e., a fast reconstruction of system states and robustness to uncertainties, while dealing with the effect of measurement noise both in practical and analytical manners. Regularity conditions are verified to analyze the stability by the associated Ordinary Differential Equation (ODE), i.e., the ODE method. Stability analysis of the full system is conducted. Numerical simulation results demonstrate the validity of the proposed design method.
|Title of host publication||2016 European Control Conference, ECC 2016|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||6|
|Publication status||Published - 2017 Jan 6|
|Event||2016 European Control Conference, ECC 2016 - Aalborg, Denmark|
Duration: 2016 Jun 29 → 2016 Jul 1
|Name||2016 European Control Conference, ECC 2016|
|Other||2016 European Control Conference, ECC 2016|
|Period||16/6/29 → 16/7/1|
Bibliographical notePublisher Copyright:
© 2016 EUCA.
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Control and Optimization