Event-triggered observer-based tracking control for leader-follower multi-agent systems

Distributed filtering of networked dynamic systems with non-Gaussian noises over sensor networks: A survey

“…Models References [78,108] RR protocolỹ [12,73,76,84,110,111] SC protocolỹ i (t) = y i (t), i = φ 3,t y i (t − 1), otherwise [9,75,109] ET protocolỹ i (t) = y i (t k ), φ 4,t < 0 y i (t), otherwise [10,11,23,24,99] Tab. 2.…”

“…Sensor networks are usually seamlessly integrated into industrial cyber-physical systems to facilitate real-time sensing, monitoring, and control. Typical applications include the supervisory control and data acquisition (SCADA) of both distributed power systems or industrial process control systems, and the tracking of maneuvering targets [3,4,7,53,88,92,99]. It is noteworthy that, different from fashionable distributed filtering of the single system, there are essentially two simultaneous configurations of interactions/connections of a cyber-physical system (CPS): the physical connection among subsystems and cyber connection among units of information processing [3].…”

Event-triggered $H_\infty$ static output feedback control of discrete time piecewise-affine systems

“…To alleviate the channel overload, the event-based triggering manner has stimulated the interesting of the researchers since the transmission is determined by the predefined condition [2,9,21]. Around this topic, fruit results have been reported in [10,12,15,26,34]. [12] employs perturbed linear and piecewise linear systems to study the even generators embeded between sensor-to-controller and the controller-to-actuator, respectively.…”

Distributed resilient filtering of large-scale systems with channel scheduling

“…On the other hand, the deployed sensor nodes or subsystems could be powered by energy-limited batteries and the main energy is costed in communication especially in wireless communication. It should be pointed out that batteries could not be replaceable or recharged in complex environments and hence reducing the energy consumption is of crucial importance to prolong the service life [11,37,40]. In other words, one of the most important researches is how to save the energy of information transmission while ensuring the necessary filtering quality [41].…”