State reconstruction for linear time-invariant systems with binary-valued output observations

DOI10.1016/j.sysconle.2008.05.007zbMath1149.93306OpenAlexW2173742807MaRDI QIDQ958145

Guohua Xu, L. Y. Wang, G. George Yin

Publication date: 2 December 2008

Published in: Systems \& Control Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.sysconle.2008.05.007

zbMATH Keywords

linear systemstate reconstructionactive observabilitybinary sensor

Mathematics Subject Classification ID

Linear systems in control theory (93C05) Eigenvalue problems (93B60) Realizations from input-output data (93B15) Control/observation systems governed by ordinary differential equations (93C15)

Related Items (6)

Moving horizon estimation for discrete-time linear systems with binary sensors: algorithms and stability results ⋮ Adaptive tracking of a class of first-order systems with binary-valued observations and fixed thresholds ⋮ State reconstruction for linear time-invariant systems with binary-valued output observations ⋮ Study of the convergence in state estimators for LTI systems with event detection ⋮ Estimability and stochastic observability of quantised linear systems ⋮ Fusion estimation under binary sensors

Cites Work

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• On the zeros of real trigonometric sums.
• Joint identification of plant rational models and noise distribution functions using binary-valued observations
• State reconstruction for linear time-invariant systems with binary-valued output observations
• Asymptotically efficient parameter estimation using quantized output observations
• One-bit sigma-delta quantization with exponential accuracy
• System identification using binary sensors

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