Simultaneous state and unknown inputs estimation with PI and PMI observers for Takagi Sugeno model with unmeasurable premise variables

By Dalil Ichalal, Benoît Marx, José Ragot, Didier Maquin. Mediterranean Conference on Control and Automation, 2009

100 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/961fc80f86e564b12ab3acb8d434dcc59403ea53

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Didier Maquin
2. Dalil Ichalal
3. José Ragot
4. Benoît Marx

In Control and Systems Engineering

1. Dalil Ichalal
2. Benoît Marx
3. José Ragot
4. Didier Maquin

Citations in the corpus

• State and unknown input estimation for nonlinear systems described by Takagi-Sugeno models with unmeasurable premise variables (2009, background): “…+P1A j −K jC−C T KTj + I (41) X2i = A T i P2 +P2Ai (42) Θi j = P1∆Ai j −K jC (43) Ψi j = P1∆Bi j (44) The gains of the observer are derived from: G j = P −1 1 K j (45) and the attenuation level is given by: γ = √ γ̄ (46) The performances of the observer can be increased by eigenvalue assignment…”
• Observers design for uncertain Takagi-Sugeno systems with unmeasurable premise variables and unknown (2011, unknown): “Recently, a few works [17,21,25] have been devoted to the case of unmeasurable premise variables.”