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Predefined-time distributed optimization and anti-disturbance control for nonlinear multi-agent system with neural network estimator: A hierarchical framework
Research article (Neural Networks, 2024) · cited 30× · AI/ML
Predefined-time distributed optimization and anti-disturbance control for nonlinear multi-agent system with neural network estimator: A hierarchical framework
Summary
Predefined-time distributed optimization and anti-disturbance control for nonlinear multi-agent system with neural network estimator: A hierarchical framework is a scholarly article[1].
Key Facts
Predefined-time distributed optimization and anti-disturbance control for nonlinear multi-agent system with neural network estimator: A hierarchical framework's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Predefined-time distributed optimization and anti-disturbance control for nonlinear multi-agent system with neural network estimator: A hierarchical framework. Retrieved May 24, 2026, from https://4ort.xyz/entity/predefined-time-distributed-optimization-and-anti-disturbance-control-for-nonlinear-multi-agent-system-with-neural-netwo
MLA“Predefined-time distributed optimization and anti-disturbance control for nonlinear multi-agent system with neural network estimator: A hierarchical framework.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predefined-time-distributed-optimization-and-anti-disturbance-control-for-nonlinear-multi-agent-system-with-neural-netwo.
BibTeX@misc{4ortxyz_predefined-time-distributed-optimization-and-anti-disturbance-control-for-nonlinear-multi-agent-system-with-neural-netwo_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predefined-time distributed optimization and anti-disturbance control for nonlinear multi-agent system with neural network estimator: A hierarchical framework}}, year = {2026}, url = {https://4ort.xyz/entity/predefined-time-distributed-optimization-and-anti-disturbance-control-for-nonlinear-multi-agent-system-with-neural-netwo}, note = {Accessed: 2026-05-24}}
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