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| Title: | Fast ADMM for distributed model predictive
control of cooperative Waterborne AGVs | | | Authors: | H. Zheng, R.R. Negenborn, G. Lodewijks |
| | Journal: | IEEE Transactions on Control Systems Technology | | |
| | Abstract: | This article proposes a distributed predictive path following controller with arrival time awareness for multiple waterborne AGVs applied to Inter Terminal Transport (ITT). The goal is to design an efficient cooperative distributed algorithm that solves local problems in parallel and minimizes an overall objective. We model the ITT problem using waterborne AGVs with independent dynamics and objectives but coupling collision avoidance constraints. The problem is then solved by distributed model predictive control (DMPC) of which the parallelism is realized using the alternating direction method of multipliers (ADMM). Successive linearizations are utilized to maintain a trade-off among computational complexity, optimality and ease of decomposition. Moreover, we propose a fast ADMM by iteratively incorporating in local problems adaptive global information to improve convergence rates. Simulation results for an ITT case study illustrate the effectiveness of the proposed algorithms for DMPC of time varying networks in general and cooperative distributed waterborne AGVs in particular. |
| | Reference: | Fast ADMM for distributed model predictive
control of cooperative Waterborne AGVs. H. Zheng, R.R. Negenborn, G. Lodewijks. IEEE Transactions on Control Systems Technology, vol. 25, no. 4, pp. 1406-1413, July 2017. | | | Request: | A
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