ABSTRACT
It has been recognized that an event-triggered control strategy is helpful in reducing the resource consumption while maintaining acceptable system performance. In addition, the adopted sensors collecting agent’s information are made of low-cost devices with low computing capacity. Such limited computing capacity could become a stumbling block to the use of sophisticated encryption for secure transmission, and this makes it possible for the attackers to extract information from sensor transmissions. Therefore, it is of practical importance to deal with event-triggering consensus control subject to cyberattacks. The challenges we are going to cope with are identified as follows: 1) How do we make mild assumptions on statistical behaviors of networkor detection-induced deception attacks? 2) How do we design a distributed observer effectively fusing the unreliable data and realizing output-feedbackbased consensus control? 3) What kind of method can be developed to reduce the computation burden as the number of agents increases?
