A weighted distributed predictor-feedback control synthesis for interconnected time delay systems

Abstract The paper investigates the control design of interconnected time delay systems by means distributed predictor-feedback compensation approaches and event-triggered mechanism. idea behind is to counteract negative effects delays in control-loop feeding back future predictions system state. Nevertheless, an exact prediction overall state vector cannot be obtained providing that each has only knowledge their local data regarding model variables. Consequently, may lose effectiveness if coupling between subsystems sufficiently strong. To circumvent this drawback, proposed incorporates extra degree freedom for synthesis introducing new weighting factors term. addressed, together with parameters, algorithm based on Linear Matrix Inequalities (LMI) Cone Complementarity Linearization (CCL). Simulation results are provided show achieved improvements validate method, even case other strategies fail stabilize closed-loop system.