73 citations · 73 across the 3 of their papers we have counts for
3 papers
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…