A Bottom-Following Preview Controller for Autonomous Underwater Vehicles

@article{Silvestre2006ABP,
  title={A Bottom-Following Preview Controller for Autonomous Underwater Vehicles},
  author={Carlos Silvestre and Rita Cunha and Nuno Paulino and Ant{\'o}nio Manuel Santos Pascoal},
  journal={Proceedings of the 45th IEEE Conference on Decision and Control},
  year={2006},
  pages={715-720}
}
The paper addresses the problem of bottom-following for autonomous underwater vehicles by taking into account the terrain characteristics ahead of the vehicle, as measured by two echo sounders. The methodology used to solve this problem amounts to posing it as a discrete time path following control problem where a conveniently defined error state space model of the plant is augmented with bathymetric (i.e. depth) preview data. A piecewise affine parameter-dependent model representation is used… CONTINUE READING
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and R

  • N. Paulino, C. Silvestre
  • Cunha, “Affine parameter-dependent preview…
  • 2006
Highly Influential
3 Excerpts

and A

  • N. Paulino, C. Silvestre, R. Cunha
  • Pascoal, “A Bottom- Following Preview Controller…
  • 2006
1 Excerpt

On the design of gain - scheduled trajectory tracking controllers

  • A. Pascoal Silvestre, I. Kaminer
  • International Journal of Robust Nonlinear Control
  • 2002

and I

  • C. Silvestre, A. Pascoal
  • Kaminer, “On the design of gainscheduled…
  • 2002
2 Excerpts

Multi-objective optimization theory with applications to the integrated design of controllers / plants for autonomous vehicles,

  • C. Silvestre
  • Ph.D. dissertation,
  • 2000
3 Excerpts

Trajectory tracking for autonomous vehicles : An integrated approach to guidance and control

  • A. Pascoal Kaminer, E. Hallberg, C. Silvestre
  • AIAA Journal of Guidance , Control , and Dynamics
  • 1998

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