Dissipative analysis for aircraft flight control systems with randomly occurring uncertainties via non-fragile sampled-data control

This work investigates the problem of robust dissipative analysis for aircraft flight control systems via non-fragile sampled-data control approach. The uncertainties occurring in the system parameter is assumed to be random and satisfy the Bernoulli distribution. The main objective of this work is to design a non-fragile sampled-data controller such that the resulting closed-loop system is robustly stochastically stable and strictly (Q, S, R)-alpha-dissipative. By constructing a suitable augmented Lyapunov-Krasovskii functional (LKF) with Lyapunov stability theory, some sufficient conditions are composed in the structure of linear matrix inequalities (LMIs) and it can be interpreted through some known software collection. Finally, a practical example with simulation is provided to indicate the usefulness of the suggested control design technique. (C) 2018 International Association for Mathematics and Computers in Simulation (IMACS). Published by Elsevier B.V. All rights reserved.