The switching is time-driven and the design is based on the average dwell time method.
Based on the average dwell time approach, the controllers are designed and H∞ performance level is developed.
Based on the average dwell time method, sufficient conditions for exponential stability are developed for a class of switching signals.
Sufficient delay-dependent existence conditions of the H∞ fault estimator (H∞-FE) are given in terms of certain matrix inequalities based on the average dwell time approach.
Furthermore, based on the surveyed dwell time distributions of passengers and the real-time data of passenger flow intensities, the total number of occupants in the check-in hall and the departure hall can be estimated separately.
Based on the average dwell time approach and piecewise Lyapunov functional technique, sufficient conditions for the existence of the robust H∞ filter are derived, and the proposed filter can be obtained by solving a set of LMIs linear matrix inequalities).
Based on the average dwell time approach and a set of Kronecker delta functions, a unified measurement model is established to represent the phenomena of missing measurements, time delays and nonlinearities.
Based on the cyclic dwell time approach, finite-time stability theorem and some inequality techniques, several sufficient criteria are proposed to ensure finite-time synchronization for a class of cyclic switched complex networks (CSCNs) with and without coupling delay.
When the switching signal of the switched controller involves delay, by constructing a novel Lyapunov functional which is allowed to increase during the running time of active subsystems with the mismatched controller, sufficient conditions for exponential stability are developed for a class of switching signals based on the average dwell time method.
Firstly, based on the average dwell time approach and the Lyapunov Krasovskii functional technique, a delay-dependent exponential stability criterion for the discrete-time impulsive switched nonlinear systems with time-varying delays is derived in terms of a set of linear matrix inequalities (LMIs).
