Dynamic sensor transmission power scheduling for remote state estimation

DOI10.1016/j.automatica.2014.02.022zbMath1298.93319OpenAlexW2002781653MaRDI QIDQ463913

Ling Shi, Peng Cheng, Zhu Ren, Huan-Shui Zhang, Ji-Ming Chen

Publication date: 17 October 2014

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2014.02.022

zbMATH Keywords

Markov chainKalman filteringsensor schedulingestimation stability

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Estimation and detection in stochastic control theory (93E10) Optimal stochastic control (93E20)

Related Items (14)

Transmission power allocation for remote estimation with multi-packet reception capabilities ⋮ Stochastic link activation for distributed filtering under sensor power constraint ⋮ Transmission scheduling for remote state estimation and control with an energy harvesting sensor ⋮ Defensive deception against reactive jamming attacks in remote state estimation ⋮ Optimizing DoS attack energy with imperfect acknowledgments and energy harvesting constraints in cyber-physical systems ⋮ Encryption scheduling for remote state estimation under an operation constraint ⋮ Optimal multiple-sensor scheduling for general scalar Gauss-Markov systems with the terminal error ⋮ Optimal acknowledgment signal attacks against remote estimation ⋮ Scheduling parallel Kalman filters with quantized deadlines ⋮ control of stochastic networked control systems with time‐varying delays: The event‐triggered sampling case ⋮ Dwell-time-based energy scheduling and distributed control for large-scale nonlinear systems under round-Robin protocol ⋮ Multi-channel transmission scheduling with hopping scheme under uncertain channel states ⋮ Finite-horizon \(H_\infty\) consensus control for multi-agent systems under energy constraint ⋮ Attack allocation on remote state estimation in multi-systems: structural results and asymptotic solution

Cites Work

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• Optimal causal coding - decoding problems
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• Optimal Scheduling of Scalar Gauss-Markov Systems With a Terminal Cost Function
• Kalman Filtering Over a Packet-Dropping Network: A Probabilistic Perspective
• Fast Sensor Scheduling for Spatially Distributed Sensors
• Remote State Estimation With Communication Costs for First-Order LTI Systems
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