IEEE Transactions on Automatic Control, Vol.53, No.2, 606-611, 2008
Nonquadratic stabilization conditions for a class of uncertain nonlinear discrete time TS fuzzy models: A new approach
The discrete-time uncertain nonlinear models are considered in a Takagi-Sugeno form and their stabilization is studied through a nonquadratic Lyapunov function. The classical conditions consider a one-sample variation, here, the main results are obtained considering k samples variation, i.e., Delta V-k(x(t)) = V(x(t + k)) - V(x(t)). The results are shown to always include the classical cases, and several examples illustrate the effectiveness of the approach.
Keywords:linear matrix inequality (LMI);nonlinear discrete models;nonquadratic Lyapunov function;uncertain Takagi-Sugeno fuzzy model