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To reduce the conservativeness of quadratic stability approach the parameter-dependent Lyapunov function (PDLF) is used.

The boundary information of membership functions is considered in the stability analysis to reduce the conservativeness of the imperfect premise matching design technique.

Similar to the sector condition in absolute stability problems, the bounded derivative condition of nonlinear functions can be used to reduce the conservativeness of the given criteria.

Suitable properties of these approaches were adopted to reduce the conservativeness of the quadratic stability condition, to reduce the control inputs constraints evaluation, and to minimize a computational effort.

Mode-dependent average dwell time (MDADT) approach, which permits each subsystem to have its own average dwell time, is adopted in this paper to reduce the conservativeness of the average dwell time method.

The extended linear matrix inequalities (LMIs) are used to reduce the conservativeness of the SFDCC results by introducing additional matrix variables to eliminate the couplings of Lyapunov matrices with the system matrices.

A mode-dependent average dwell-time (MDADT) approach, which means that each subsystem has its own average dwell time, is adopted in this paper to reduce the conservativeness of the average dwell time method.

We use two ways to reduce the conservativeness: a good choice of the Lyapunov-Krasovskii functionals, and the use of a less conservative integral inequality.

A controller design method based on parameter-dependent Lur'e Postnikov function is proposed in order to reduce the conservativeness and the controller can be constructed via feasible solutions of a certain set of linear matrix inequalities (LMIs).

Some slack matrices are introduced to reduce the conservativeness.

These constraints are fuzzified to reduce the conservativeness.