Fuzzy descriptor systems and nonlinear model following control

By Tadanari Taniguchi, Kazuo Tanaka, Hua O. Wang. IEEE transactions on fuzzy systems, 2000

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Design of observers for TakagiߝSugeno descriptor systems with unknown inputs and application to fault diagnosis (2007, methodology): “The stability and the design of state-feedback controllers for TS descriptor systems (TSDS) are characterised via LMI in [17],[18], in particular, the problem of nonlinear model following is treated in [18].”
A Descriptor System Approach to Fuzzy Control System Design via Fuzzy Lyapunov Functions (2007, background): “A fuzzy descriptor representation that is a kind of nonlinear descriptor system was first stated in [20], [21].”
Robust fault detection and estimation for descriptor systems based on multi-models concept (2012, background): “For descriptor systems, a few works on fuzzy control have attracted a lot of attention during the last few years [18, 19].”
An alternative to inverse dynamics joint torques estimation in human stance based on a Takagi–Sugeno unknown-inputs observer in the descriptor form (2008, methodology): “A fuzzy Takagi-Sugeno representation in a descriptor form leads to a collection of LTI models in descriptor form blended together with nonlinear functions (Taniguchi et al., 2000):”