Decentralized dynamic output feedback control for affine fuzzy large-scale systems with measurement errors

This paper investigates the decentralized output feedback control problem for affine fuzzy large-scale systems with unknown interconnections. A decentralized piecewise dynamic output feedback controller is constructed, and the measurement errors between actual outputs and measured outputs are considered in control synthesis. By introducing the S-procedure and a cyclic-small-gain condition, novel controller design conditions in terms of linear matrix inequalities (LMIs) are derived, which allow for reducing the worst case peak output due to measurement errors with satisfying an L∞-norm constraint. Finally, two examples are given to illustrate the effectiveness and superiority of the new results.