Výsledky vyhledávání - "Earl Matthew"

Akademický článek

Comparative study of Co3O4(111), CoFe2O4(111), and Fe3O4(111) thin film electrocatalysts for the oxygen evolution reaction

Autor: Earl Matthew Davis, Arno Bergmann, Chao Zhan, Helmut Kuhlenbeck, Beatriz Roldan Cuenya

Publikováno v: Nature Communications, Vol 14, Iss 1, Pp 1-10 (2023)

Abstract Water electrolysis to produce ‘green H2’ with renewable energy is a promising option for the upcoming green economy. However, the slow and complex oxygen evolution reaction at the anode limits the efficiency. Co3O4 with added iron is a c

Externí odkaz: https://doaj.org/article/309b70a722fd4c469aea9bd062227534

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Akademický článek

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Iterative MILP Methods for Vehicle Control Problems

Autor: Earl, Matthew, D'Andrea, Raffaello

Publikováno v: M. G. Earl and R. D'Andrea, "Iterative MILP Methods for Vehicle Control Problems," IEEE Transactions on Robotics, Volume 21, Issue 6, pages 1158-1167, Dec. 2005.

Mixed integer linear programming (MILP) is a powerful tool for planning and control problems because of its modeling capability and the availability of good solvers. However, for large models, MILP methods suffer computationally. In this paper, we pr

Externí odkaz: http://arxiv.org/abs/cs/0505042

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A Decomposition Approach to Multi-Vehicle Cooperative Control

Autor: Earl, Matthew, D'Andrea, Raffaello

Publikováno v: M. G. Earl and R. D'Andrea, "A Decomposition Approach to Multi-Vehicle Cooperative Control," Robotics and Autonomous Systems, Volume 55, Issue 4, pages 276-291, April 2007.

We present methods that generate cooperative strategies for multi-vehicle control problems using a decomposition approach. By introducing a set of tasks to be completed by the team of vehicles and a task execution method for each vehicle, we decompos

Externí odkaz: http://arxiv.org/abs/cs/0504081

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Multi-Vehicle Cooperative Control Using Mixed Integer Linear Programming

Autor: Earl, Matthew G., D'Andrea, Raffaello

Publikováno v: M. G. Earl and R. D'Andrea, "Multi-Vehicle Cooperative Control using Mixed Integer Linear Programming," In Cooperative Control of Distributed Multi-Agent Systems, J. S. Shamma ed., John Wiley & Sons, 2007

We present methods to synthesize cooperative strategies for multi-vehicle control problems using mixed integer linear programming. Complex multi-vehicle control problems are expressed as mixed logical dynamical systems. Optimal strategies for these s

Externí odkaz: http://arxiv.org/abs/cs/0501092

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