Distributed cooperative anti-disturbance control of multi-agent systems
Disturbance exists everywhere in most real networks and systems, and in most cases, has a negative effect on system performance. Disturbance can be modeled from environmental interference, measurement noise, friction, load variation of mechanical and electrical systems, and other methods. With the rapid development of modern engineering systems, high-precision control has become a priority, which makes disturbance processing much more important in industrial applications as well as academic theoretical research. Anti-disturbance control comprises the design of a proper controller to eliminate the effects caused by disturbances.
In the past few decades, distributed cooperation in multi-agent systems has received much attention because of its applications in industrial manufacturing and such fields as unmanned aerial vehicles (UAVs), distributed sensor networks, space exploration and marine exploration. Regarding the wide application of distributed cooperation in multi-agent systems and the universality of the existence of disturbance, the research on distributed cooperative anti-disturbance control of multi-agent systems is considered urgent. The key idea is to design distributed anti-disturbance controls on each individual agent to collectively achieve global anti-disturbance control goal. In the past decade, many excellent works have been done on this topic.
Recently, a paper published in 2017(11) issue of SCIENCE CHINA Information Sciences, "Distributed cooperative anti-disturbance control of multi-agent systems: an overview," reviews results and recent progress in distributed cooperative anti-disturbance control (DCADC) of multi-agent systems.
The authors particularly concerned with some kinds of DCADC methods, such as distributed cooperative variable structure control, distributed cooperative sliding mode control, distributed cooperative disturbance-observer-based control, distributed cooperative output regulation control approaches, etc. Some future research topics regarding DCADC methods are also pointed out.
More information:
Wenwu Yu et al, Distributed cooperative anti-disturbance control of multi-agent systems: an overview, Science China Information Sciences (2017). DOI: 10.1007/s11432-017-9141-x
Provided by Science China Press
