Adaptive tracking of a class of first-order systems with binary-valued observations and fixed thresholds

DOI10.1007/s11424-012-1257-0zbMath1282.93240OpenAlexW2030095023MaRDI QIDQ394374

Yanlong Zhao, Jin Guo, Ji-Feng Zhang

Publication date: 27 January 2014

Published in: Journal of Systems Science and Complexity (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11424-012-1257-0

zbMATH Keywords

parameter estimationadaptive controlstochastic systemoptimal trackingbinary-valued observation

Mathematics Subject Classification ID

Adaptive control/observation systems (93C40) Estimation and detection in stochastic control theory (93E10) Stochastic systems in control theory (general) (93E03)

Related Items (7)

Research on image signal identification based on adaptive array stochastic resonance ⋮ Radar target recognition algorithm based on RCS observation sequence -- set-valued identification method ⋮ Perfect adaptation of general nonlinear systems ⋮ Optimal control of unknown discrete-time linear systems with additive noise ⋮ Recursive identification of FIR systems with binary-valued outputs and communication channels ⋮ Credit scoring based on the set-valued identification method ⋮ Parameter estimation based on set-valued signals: theory and application

Cites Work

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• SOI-KF: Distributed Kalman Filtering With Low-Cost Communications Using the Sign of Innovations
• System identification using binary sensors
• State Observability and Observers of Linear-Time-Invariant Systems Under Irregular Sampling and Sensor Limitations
• Adaptive Tracking Control of A Class of First-Order Systems With Binary-Valued Observations and Time-Varying Thresholds

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