Nonquadratic Stabilization Conditions for a Class of Uncertain Nonlinear Discrete Time TS Fuzzy Models: A New Approach

By Alexandre Kruszewski, R. Wang, Thierry-Marie Guerra. IEEE Transactions on Automatic Control, 2008

383 citations recorded by the source corpus.

How researchers see this paper

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

Recent developments on the stability of systems with aperiodic sampling: An overview (2017, background): “Condition 2) in Theorem 17 corresponds to the existence of a non-monotonic Lyapunov function V̄ (x) = xPx, [167,141,2] which is decreasing every N samples.”
Robust Observer Design for Unknown Inputs Takagi–Sugeno Models (2013, background): “Remark 2: Notice that other interesting formulations are also possible using the works of [15], [16].”
Reliable Output Feedback Control of Discrete-Time Fuzzy Affine Systems With Actuator Faults (2017, methodology): “Correspondingly, some stability analysis criteria have been derived based on single/common LF method [5], [17]–[18] and piecewise/fuzzy LFs method [16], [19]–[25], respectively.”
A New Design of Delay-Dependent Robust ${\cal H}_{\bm \infty}$ Filtering for Discrete-Time T--S Fuzzy Systems With Time-Varying Delay (2009, methodology): “In this way, the computation complexity will decrease, but the filtering design results tend to be more conservative [17], [18], [22].”
State and unknown input estimation for nonlinear systems described by Takagi-Sugeno models with unmeasurable premise variables (2009, background): “In the field of stability analysis and stabilization, many works, such as state feedback control [2], [11], [12], [13], [3] have been developed and applied in a lot of practical situations.”