Iterative learning control of multi-agent systems with random noises and measurement range limitations
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Publication:5025905
DOI10.1080/00207721.2019.1616127zbMath1483.93165OpenAlexW2945535451MaRDI QIDQ5025905
JinRong Wang, Dong Shen, Chen Liu
Publication date: 7 February 2022
Published in: International Journal of Systems Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207721.2019.1616127
multi-agent systemiterative learning controlcommunication noisesmeasurement saturationtime-switching topologies
Related Items (2)
Global iterative learning control based on fuzzy systems for nonlinear multi-agent systems with unknown dynamics ⋮ Observer-based data-driven iterative learning control
Cites Work
- Unnamed Item
- Iterative learning control for discrete-time systems with event-triggered transmission strategy and quantization
- Containment of linear multi-agent systems under general interaction topologies
- On the cluster consensus of discrete-time multi-agent systems
- Iterative learning control design based on composite energy function with input saturation
- On almost sure and mean square convergence of P-type ILC under randomly varying iteration lengths
- Leader-following consensus of multi-agent systems under fixed and switching topologies
- Distributed learning consensus for heterogenous high-order nonlinear multi-agent systems with output constraints
- Linear systems theory. A structural decomposition approach.
- Output Feedback ILC for a Class of Nonminimum Phase Nonlinear Systems With Input Saturation: An Additive-State-Decomposition-Based Method
- A survey on iterative learning control for nonlinear systems
- A study on the robustness of a PID-type iterative learning controller against initial state error
- A Novel Markov Chain Based ILC Analysis for Linear Stochastic Systems Under General Data Dropouts Environments
- Learning control for discrete-time nonlinear systems with sensor saturation and measurement noises
- Robust learning control for nonlinear systems with nonparametric uncertainties and nonuniform trial lengths
- Consensus Conditions of Multi-Agent Systems With Time-Varying Topologies and Stochastic Communication Noises
- On initial conditions in iterative learning control
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