Design and development of event-triggered estimator-controller for networked control system with priori measurement compensation

• Published in: Information sciences Vol. 713; p. 122187
• Main Authors: Senthilkumar, K., Srinivasan, K.
• Format: Journal Article
• Language: English
• Published: Elsevier Inc 01.09.2025
• Subjects: Correlated noises; Event triggered mechanism; Linear matrix inequality; Networked control system; Orthogonal estimator based control; Quantization; Networked control system; Quantization; Linear matrix inequality; Correlated noises; Event triggered mechanism; Orthogonal estimator based control
• ISSN: 0020-0255
• DOI: 10.1016/j.ins.2025.122187

This article focuses on development of an event-triggered control architecture for an output feedback networked control system (NCS) subject to network constraints such as packet delay, packet loss, quantization noise and correlated random noises. Network constraints and event-triggering status are stochastically modeled with the aid of discrete distributed random sequences. The stochastic model fuses sensor measurement and priori measurement to compensate the effects of various network constraints and triggering failure. Because of the fusion model, computation burden of the estimator is reduced. Estimator is developed for the fusion NCS model using orthogonal projection principles. Posterior state information of an estimator is used to feedback the NCS. Controller gain is computed by solving linear matrix inequality so that the system is mean square stable. Event-triggered conditions are set up to limit the sensor measurement and control signals. This trigger situation allows the information that reinforces a change in estimation or control action, hence reducing energy consumption and communication bandwidth usage. The proposed estimator is suitable for online computations therefore it is recursive. Also, it has minimum variance property, and it is unbiased. Engineering applications are used to investigate the effectiveness of the proposed estimator-controller, and a quantitative performance comparison is provided. •Fusion based stochastic NCS model is developed.•Event based triggering mechanism adopted in sensor and controller nodes.•Energy efficient estimator-controller is developed.•Estimator-based servo controller is designed by using bilinear matrix inequality.