A Study On Distributed Model Predictive Consensus
نویسندگان
چکیده
We investigate convergence properties of a proposed distributed model predictive control (DMPC) scheme, where agents negotiate to compute an optimal consensus point using an incremental subgradient method based on primal decomposition as described in [1], [2]. The objective of the distributed control strategy is to agree upon and achieve an optimal common output value for a group of agents in the presence of constraints on the agent dynamics using local predictive controllers. Stability analysis using a receding horizon implementation of the distributed optimal consensus scheme is performed. Conditions are given under which convergence can be obtained even if the negotiations do not reach full consensus.
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ورودعنوان ژورنال:
- CoRR
دوره abs/0802.4450 شماره
صفحات -
تاریخ انتشار 2008