This thesis considers cooperative control of non-holonomic autonomous agents which are modeled as linear parameter-varying (LPV) systems. Two approaches are considered. First, the formation control approach; here a coupled information flow filter is presented that enables feedback of local agent data into the consensus protocol. Moreover, a simultaneous design and optimization of filter and local controller is proposed. Secondly, extension of flocking control to LPV agents. A separation in design is achieved by designing a flocking filter that receives data from and provides reference trajectories to local agents. This approach is illustrated with source seeking and level curve tracking scenarios.
Aly Attallah
linear parameter varying systems distributed control formation control, flocking control