Optimal bipartite consensus control for heterogeneous unknown multi-agent systems via reinforcement learning
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DOI: 10.1016/j.amc.2024.128785
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References listed on IDEAS
- Arockia Samy, Stephen & Anbalagan, Pratap, 2023. "Disturbance observer-based integral sliding-mode control design for leader-following consensus of multi-agent systems and its application to car-following model," Chaos, Solitons & Fractals, Elsevier, vol. 174(C).
- Peng, Zhinan & Hu, Jiangping & Shi, Kaibo & Luo, Rui & Huang, Rui & Ghosh, Bijoy Kumar & Huang, Jiuke, 2020. "A novel optimal bipartite consensus control scheme for unknown multi-agent systems via model-free reinforcement learning," Applied Mathematics and Computation, Elsevier, vol. 369(C).
- Parivallal, A. & Sakthivel, R. & Wang, Chao, 2022. "Output feedback control for bipartite consensus of nonlinear multi-agent systems with disturbances and switching topologies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 589(C).
- Zhou, Min & Wang, JinRong & Shen, Dong, 2023. "Iterative learning control for continuous-time multi-agent differential inclusion systems with full learnability," Chaos, Solitons & Fractals, Elsevier, vol. 174(C).
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Keywords
Optimal bipartite consensus; Heterogeneous multi-agent systems; Cooperative control; Reinforcement learning;All these keywords.
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