About

Marc Rouff is a pioneering researcher in nonlinear control theory, with a career-spanning focus on the decoupling and linearization of complex dynamical systems. His most influential work, "Applications and prospect of the nonlinear decoupling method" (1998, 17 citations), synthesizes his foundational contributions to static feedback linearization—a technique that simplifies the control of nonlinear systems by transforming them into linear equivalents. Rouff’s 1986 paper on a new approach to nonlinear optimal feedback law (14 citations) further cemented his reputation, offering innovative solutions for optimal control in robotics and mechanical systems. His phenomenological approach to linearization by static feedback (1989, 7 citations) provided a rigorous framework for controlling elastic and hysteretic robots, addressing long-standing challenges in flexible process control. Rouff also extended his decoupling method to Hamiltonian systems (1995, 4 citations), demonstrating its versatility across robotics, hydrodynamics, and medicine. With over 50 total citations, his work has influenced both theoretical advancements and practical applications in nonlinear control, making him a key figure in the development of robust, feedback-based control strategies for complex engineering systems.

Research Focus

Key Achievements

4
H-Index
7
Papers
52
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Applications and prospect of the nonlinear decoupling method
17 citations · 1998
📈 Most Prolific Year: 1989 (2 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Centre National de la Recherche Scientifique, Laboratoire des signaux et systèmes, Laboratoire de Génie Électrique et Électronique de Paris, École Centrale d'Électronique

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago