Self-Triggered Reduced-Attention Output Feedback Control for Linear Networked Control Systems

Abstract

A major challenge in networked control systems is to reduce the use of shared communication and control resources without compromising the performance of the closed-loop system. Motivated by this challenge, this paper presents an observer-based controller with irregular sampling that reduces the control attention and guarantees closed-loop stability and global ultimate boundedness of the plant's state vector regardless of bounded input and output disturbances. The feedback control design is based on self-triggered control, whereas the observer is based on the block-form state-space representation of the plant. It is shown via analysis and simulation that the overall control law decreases the number of samples without loosing observability and closed-loop stability, reducing the utilization of communication resources.