IEEE Control Systems Letters · 2022 · 14 citations · 16 references
This paper presents a novel interval observer design for uncertain locally Lipschitz continuous-time (CT) and discrete-time (DT) systems with noisy nonlinear observations that is input-to-state stable (ISS) and minimizes the L1-gain of the observer error system with respect to the uncertainties. Using mixed-monotone decompositions, the proposed observer is correct and positive by construction without the need for additional constraints/assumptions. This, in turn, allows us to directly leverage techniques for positive systems to design an ISS and L1-robust interval observer via mixed-integer (linear) programs instead of semi-definite programs with linear matrix inequalities. Further, our observer design offers additional degrees of freedom that may serve as a surrogate for coordinate transformations. Finally, we demonstrate the effectiveness of our proposed observer on some CT and DT systems.
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YALMIP : a toolbox for modeling and optimization in MATLAB
Johan Löfberg · 2005 · 9.1K citations
Mathematical Programming, Engineering, Matlab Toolbox Yalmip +17
Interval state observer for nonlinear time varying systems
Denis Efimov, Tarek Raïssi, Stanislav Chebotarev et al. · Automatica · 2012 · 303 citations · Full text
Design of interval observers for uncertain dynamical systems
Denis Efimov, Tarek Raïssi · Automation and Remote Control · 2016 · 213 citations · Full text