Bandwidth scheduling of a networked learning control system using particle swarm optimization and the game theory

The optimal bandwidth scheduling problem was studied for a two-layer networked learning control system (NLCS). A dynamic bandwidth scheduling methodology based on the network pricing mechanism was proposed to allocate the bandwidth for each subsystem, so the network resource allocation problem was transformed into the solution of the Nash equilibrium with a non-cooperation game model. Under this framework, particle swarm optimization (PSO) was used to obtain the Nash equilibrium for NLCS, and the time slice scheduling method was also provided. Simulation results were given to demonstrate the effectiveness of the proposed approach.