76 citations · 237 across the 17 of their papers we have counts for
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cs.RO2005
Iterative MILP Methods for Vehicle Control Problems
Matthew Earl, Raffaello D'Andrea
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 l…
cs.RO2005★ 73 cited
A Decomposition Approach to Multi-Vehicle Cooperative Control
Matthew Earl, Raffaello D'Andrea
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…
cs.RO2005
Multi-Vehicle Cooperative Control Using Mixed Integer Linear Programming
Matthew G. Earl, Raffaello D'Andrea
We present methods to synthesize cooperative strategies for multi-vehicle control problems using mixed integer linear programming. Complex multi-vehicle control problems are expres…