Reducing the sensitivity to parameter variations of a minimum-order reduced-order observer

DOI10.1080/00207178208922666zbMath0484.93025OpenAlexW2020669571MaRDI QIDQ3944424

Raymond T. Stefan

Publication date: 1982

Published in: International Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207178208922666

zbMATH Keywords

parameter sensitivityintegral squared error objective functionminimum-order reduced-order observer

Mathematics Subject Classification ID

Related Items (8)

Robustness of Luenberger observers: Linear systems stabilized via non- linear control ⋮ Robust observers for systems with parameters ⋮ The optimal projection equations for reduced-order, discrete-time state estimation for linear systems with multiplicative white noise ⋮ Robust, reduced-order, nonstrictly proper state estimation via the optimal projection equations with Petersen-Hollot bounds ⋮ Observer-based robust controller design for a linear system with time-varying perturbations ⋮ Robust observer design for nonlinear uncertain systems with LQ regulators ⋮ Observer design methodology for stochastic and deterministic robustness ⋮ Robust control system design with a proportional integral observer

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• Design of sensitivity-reducing compensators using observers
• Minimal order arbitrarily fast adaptive observers and identifiers
• Robustness with observers
• An adaptive observer for single-input single-output linear systems

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