Pierre-Brice Wieber

Control and Systems Engineering · 2002–2014

A researcher in the Science corpus: 7 papers; trusts 16 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Pierre-Brice Wieber trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Shuuji Kajita
  2. Moritz Diehl
  3. Jerry E. Pratt
  4. Fumio Kanehiro
  5. Hans Georg Bock
  6. John Carff
  7. Johannes P. Schlöder
  8. Roger Fletcher
  9. Oussama Khatib
  10. Sergey V. Drakunov

Who trusts Pierre-Brice Wieber overall

  1. Eric C. Whitman
  2. Johannes Englsberger
  3. Twan Koolen
  4. Christopher G. Atkeson
  5. Christian Ott
  6. Tomas de Boer
  7. Thomas Geijtenbeek
  8. Holger Diedam
  9. Alin Olimpiu Albu-Schäffer
  10. John R. Rebula

Papers from Pierre-Brice Wieber's perspective

Ordered by how strongly the researchers Pierre-Brice Wieber trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Humanoid robot HRP-2 (IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004)
  2. Constrained model predictive control: Stability and optimality
  3. Biped walking pattern generation by using preview control of zero-moment point (IEEE International Conference on Robotics and Automation)
  4. Real-time optimization and nonlinear model predictive control of processes governed by differential-algebraic equations
  5. Robot dynamics: equations and algorithms (Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065))
  6. Real-Time Optimization for Large Scale Nonlinear Processes
  7. An online active set strategy to overcome the limitations of explicit MPC
  8. A Real-Time Iteration Scheme for Nonlinear Optimization in Optimal Feedback Control (SIAM Journal of Control and Optimization)
  9. Nominal stability of real-time iteration scheme for nonlinear model predictive control
  10. An efficient multiple shooting based reduced SQP strategy for large-scale dynamic process optimization. Part 1: theoretical aspects (Computers and Chemical Engineering)

Their papers