Journal
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
Volume 53, Issue 14, Pages 3010-3026Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/00207721.2022.2067912
Keywords
High-gain observer; interval observer; continuous-discrete-time system; bounded uncertainty
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In this paper, a high-gain interval observer (HGIO) is proposed to handle partially linear continuous-time systems with sampled measured outputs in the presence of bounded noise and additive disturbances. The gain of the HGIO is designed using the Linear Matrix Inequality (LMI) framework and a time-varying change of coordinates. A procedure for designing the HGIO gain to minimize the effect of noise and disturbances is provided. Simulation results validate the effectiveness of the proposed approach.
In this paper, a high-gain interval observer (HGIO) for a class of partially linear continuous-time systems with sampled measured outputs in the presence of bounded noise and additive disturbances is proposed. The design of the HGIO is formulated in the Linear Matrix Inequality (LMI) framework. The gain of the HGIO is designed to satisfy the cooperative property using a time-varying change of coordinates based on pole placement in separate LMI regions. Moreover, a procedure for designing the HGIO gain to minimise the effect of the noise and disturbance in the estimation is provided. The stability of the proposed HGIO is also guaranteed. The proposed approach is assessed in simulation using a numerical example.
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