Dalil Ichalal

Control and Systems Engineering · 2008–2010

A researcher in the Science corpus: 4 papers; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Dalil Ichalal trusts overall

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

  1. Abdelkader Akhenak
  2. Thierry-Marie Guerra
  3. Zhiwei Gao
  4. José Ragot
  5. Alexandre Kruszewski
  6. Mohammed Chadli
  7. Benoît Marx
  8. Didier Maquin
  9. D.W.C. Ho

Who trusts Dalil Ichalal overall

  1. Benoît Marx
  2. José Ragot

Papers from Dalil Ichalal's perspective

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

  1. Conditions of output stabilization for nonlinear models in the Takagi-Sugeno's form (Fuzzy Sets Syst.)
  2. Design of observers for TakagiߝSugeno descriptor systems with unknown inputs and application to fault diagnosis
  3. Nonquadratic Stabilization Conditions for a Class of Uncertain Nonlinear Discrete Time TS Fuzzy Models: A New Approach (IEEE Transactions on Automatic Control)
  4. A new fuzzy Lyapunov function approach for a Takagi-Sugeno fuzzy control system design (Fuzzy Sets Syst.)
  5. State and unknown input estimation for nonlinear systems described by Takagi-Sugeno models with unmeasurable premise variables (Mediterranean Conference on Control and Automation)
  6. Proportional multiple-integral observer design for descriptor systems with measurement output disturbances
  7. Observers for Takagi-Sugeno fuzzy systems (IEEE Trans. Syst. Man Cybern. Part B)
  8. Simultaneous state and unknown inputs estimation with PI and PMI observers for Takagi Sugeno model with unmeasurable premise variables (Mediterranean Conference on Control and Automation)
  9. Sliding mode observers for detection and reconstruction of sensor faults (at - Automatisierungstechnik)
  10. On the interpretation and identification of dynamic Takagi-Sugeno fuzzy models (IEEE transactions on fuzzy systems)

Their papers