Abstract

AbstractThis article presents a novel geometric framework for the design of extended state observers (ESOs) using the immersion and invariance (I&I) method. The ESO design problem of a class of uncertain lower‐triangular nonlinear systems is considered for joint state and total disturbance observation. This problem is formulated as designing a dynamical system, as the observer, along with an appropriately defined manifold in the system‐observer extended state‐space. The ESO convergence translates into the attractivity of this manifold; that is, the convergence of the system‐observer trajectories to a small boundary layer around the manifold. The design of both reduced‐order and full‐order ESOs is studied using the I&I formulation. Moreover, an optimization method based on linear matrix inequalities is proposed to establish the convergence of ESOs. It is shown that the I&I‐based method leads to a unifying framework for the design and analysis of ESOs with linear, nonlinear, and time‐varying gains. Detailed simulations are provided to show the efficacy of the proposed ESOs.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.