An approach to quantized consensus of continuous-time linear multi-agent systems
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Publication:1641051
DOI10.1016/j.automatica.2018.01.028zbMath1387.93021OpenAlexW2790870688WikidataQ130117353 ScholiaQ130117353MaRDI QIDQ1641051
Dong Sun, Ji Ma, Gang Feng, Hai-Bo Ji
Publication date: 14 June 2018
Published in: Automatica (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.automatica.2018.01.028
samplingquantizationconsensuscontinuous-time linear multi-agent systems (MASs)ISS-Lyapunov functions
Linear systems in control theory (93C05) Decentralized systems (93A14) Agent technology and artificial intelligence (68T42)
Related Items (9)
Distributed Nash equilibrium seeking under quantization communication ⋮ Quantized guaranteed cost memory consensus for nonlinear multi-agent systems with switching topology and actuator faults ⋮ Fixed-time consensus for disturbed multiple Euler-Lagrange systems with connectivity preservation and quantized input ⋮ Structural balance control of complex dynamical networks based on state observer for dynamic connection relationships ⋮ Hierarchical predefined‐time control of teleoperation systems with state and communication constraints ⋮ Prescribed-time adaptive output feedback tracking control for nonlinear systems with quantized input ⋮ Bipartite consensus for networked robotic systems with quantized-data interactions ⋮ Leader-following fixed-time quantized consensus of multi-agent systems via impulsive control ⋮ Sampled-data-based fault-tolerant consensus control for multi-agent systems: a data privacy preserving scheme
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