Reducing the conservatism of LMI-based stabilisation conditions for TS fuzzy systems using fuzzy Lyapunov functions

In this article, the fuzzy Lyapunov function approach is considered for stabilising continuous-time Takagi-Sugeno fuzzy systems. Previous linear matrix inequality (LMI) stability conditions are relaxed by exploring further the properties of the time derivatives of premise membership functions and by introducing slack LMI variables into the problem formulation. The relaxation conditions given can also be used with a class of fuzzy Lyapunov functions which also depends on the membership function first-order time-derivative. The stability results are thus extended to systems with large number of rules under membership function order relations and used to design parallel-distributed compensation (PDC) fuzzy controllers which are also solved in terms of LMIs. Numerical examples illustrate the efficiency of the new stabilising conditions presented. © 2013 Copyright Taylor and Francis Group, LLC.

Keywords

fuzzy Lyapunov functions, linear matrix inequalities, PDC fuzzy controllers, stability analysis, TS fuzzy systems, Fuzzy controllers, Fuzzy Lyapunov functions, Problem formulation, Relaxation condition, Stability analysis, Stability condition, T S fuzzy system, Takagi Sugeno fuzzy systems, Lyapunov functions, Membership functions, Linear matrix inequalities