Observers for Takagi-Sugeno fuzzy systems
By P. Bergsten, R. Palm, D. Driankov. IEEE Trans. Syst. Man Cybern. Part B, 2002
316 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/2bc03566b4d7dceee327fae00a570506237f2454
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
- Luka Eciolaza
- Tadanari Taniguchi
- Michio Sugeno
- Didier Maquin
- Víctor C. S. Campos
- Dalil Ichalal
- Mohammed Chadli
- Reinaldo Martinez Palhares
In Control and Systems Engineering
- Benoît Marx
- Dalil Ichalal
- José Ragot
- Didier Maquin
- Luka Eciolaza
- Tadanari Taniguchi
- Michio Sugeno
- Víctor C. S. Campos
Citations in the corpus
- Fuzzy Control Systems: Past, Present and Future (2019, methodology): “If the premise variables are measurable, then the approaches in [57], [66], [67], [78], [79] can be directly applied.”
- Robust Observer Design for Unknown Inputs Takagi–Sugeno Models (2013, methodology): “This assumption, used in previous works [30], [34], [35], will be useful to derive design conditions.”
- 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.”
- Simultaneous state and unknown inputs estimation with PI and PMI observers for Takagi Sugeno model with unmeasurable premise variables (2009, background): “Nevertheless, we can cite [16], [17], [26], [4], where the authors re-write the system either as a perturbed or uncertain T-S system with measurable premise variables.”
- Design of Observers for Takagi-Sugeno Systems with Immeasurable Premise Variables: an ℒ2 Approach (2008, methodology): “Only few works are based on this approach, nevertheless, one can cite (Bergsten and Palm, 2000), (Palm and Driankov, 1999), (Bergsten et al. , 2001) and (Bergsten et al. , 2002), in which a Luenberger observer is proposed, by using Lipschitz weighting functions.”
- State and unknown input estimation for nonlinear systems described by Takagi-Sugeno models with unmeasurable premise variables (2009, methodology): “In this paper the following notations are used”
- A Survey on Analysis and Design of Model-Based Fuzzy Control Systems (2006, unknown): “[3], [6], [12], [45], [47], [56], [151], [168], [192], [197], [198], [221], [267], [275], [282], [285], [312], [317].”
- Design of sliding mode unknown input observer for uncertain Takagi-Sugeno model (2007, unknown): “Since the study of stability of the T-S models [15], [16], [17], [18], the researchers accentuated their work on the T-S observer design [13], [19], [20], [21].”