Iterative learning formation control for continuous-time multi-agent systems with randomly varying trial lengths
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Publication:2005347
DOI10.1016/j.jfranklin.2020.07.008zbMath1448.93085OpenAlexW3041467713MaRDI QIDQ2005347
Yimin Fan, Yang Liu, Yingmin Jia
Publication date: 7 October 2020
Published in: Journal of the Franklin Institute (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jfranklin.2020.07.008
Related Items (5)
Model-free algorithm for consensus of discrete-time multi-agent systems using reinforcement learning method ⋮ Feedback higher-order iterative learning control for nonlinear systems with non-uniform iteration lengths and random initial state shifts ⋮ A unified adaptive control approach of nonlinear continuous non‐parameterized systems with asymmetric control gains for trajectory tracking in different domains ⋮ Optimal iterative learning control design for continuous-time systems with nonidentical trial lengths using alternating projections between multiple sets ⋮ Distributed point-to-point iterative learning control for multi-agent systems with quantization
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