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

• Published in: Information sciences Vol. 543; pp. 367 - 381
• Main Author: González, Antonio
• Format: Journal Article
• Language: English
• Published: Elsevier Inc 08.01.2021
• Subjects: Delay compensation; Distributed control; Event-triggered control; Interconnected system; Linear matrix inequality (LMI); Time delay; Delay compensation; Distributed control; Time delay; Event-triggered control; Linear matrix inequality (LMI); Interconnected system
• ISSN: 0020-0255; 1872-6291
• DOI: 10.1016/j.ins.2020.07.011

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