Sébastien Mariéthoz

Control and Systems Engineering · 2001–2012

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

Whom Sébastien Mariéthoz trusts overall

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

  1. Francesco Borrelli
  2. Johan Efberg
  3. Alberto Bemporad
  4. Manfred Morari
  5. Peter W. Lehn
  6. Iroon Polytechniou
  7. S. Qin
  8. Mariusz Malinowski
  9. Petter Tøndel

Who trusts Sébastien Mariéthoz overall

  1. M. Nauman
  2. Marco E. Rivera
  3. José Raúl Rodríguez Rodríguez
  4. Kurtland Chua
  5. Nolan Wagener
  6. Ali Ghadirzadeh
  7. Xiaoqi Yin
  8. Sergio Vazquez
  9. Eurika Kaiser
  10. Ammar Hasan

Papers from Sébastien Mariéthoz's perspective

Ordered by how strongly the researchers Sébastien Mariéthoz trusts endorse each paper. Same corpus, a different order for every researcher.

  1. YALMIP : a toolbox for modeling and optimization in MATLAB
  2. Constrained Optimal Control of Linear and Hybrid Systems (IEEE Transactions on Automatic Control)
  3. Influence of cultivation temperature on the ligninolytic activity of selected fungal strains
  4. Predictive Current Control of a Voltage Source Inverter (IEEE transactions on industrial electronics (1982. Print))
  5. A Simple Voltage Sensorless Active Damping Scheme for Three-Phase PWM Converters With an $LCL$ Filter (IEEE transactions on industrial electronics (1982. Print))
  6. Digital Current Control of a Voltage Source Converter With Active Damping of LCL Resonance (IEEE transactions on power electronics)
  7. An algorithm for multi-parametric quadratic programming and explicit MPC solutions (Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228))
  8. HYSDEL-a tool for generating computational hybrid models for analysis and synthesis problems (IEEE Transactions on Control Systems Technology)
  9. A survey of industrial model predictive control technology
  10. Efficient interior point methods for multistage problems arising in receding horizon control (IEEE Conference on Decision and Control)

Their papers