Distributed Optimal Consensus Learning Control for Nonlinear MASs with Output Constraints

2021 6th International Conference on Robotics and Automation Engineering (ICRAE)(2021)

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摘要
This paper proposes a distributed optimal consensus control approach based on adaptive dynamic programming for multi-agent systems (MASs) with output constraints. Considering the environment and security constraints of system outputs, a barrier function is adopted to transform the constrained system into an equivalent unconstrained system. To facilitate the controller design, a distributed observe...
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关键词
Training,Optimal control,Artificial neural networks,Transforms,Consensus control,Observers,Cost function
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