Analysis For Distributed Control Of Dynamical Networks

Dynamic networks is a real-time network system consisting of achanging over time by the various subsystems. As a large and complexdynamic systems, network control key is to consider the complexity ofthe whole system and the subsystem. Distributed network is able toachieve the interconnection between the subsystems, and thus be able touse a plurality of subsystem information not only on the control design,further comprising a state between the adjacent subsystem, a novel classof this method is known as a distributed control, such a method has betterperformance than traditional distributed control compared.This paper introduces dynamic network distributed control systemmathematical control model for dynamic network of distributed systems.Control strategies of dynamic network system design, the use of twoprograms: decentralized control and distributed control, and added thatthe delay of a distributed control control solutions. The two designs tosimulate and analyze the convergence rate compared to the two programs.The results show that the relative superiority of decentralized control ofdistributed control, and time delay the introduction of the solution greatlyimproved the stability of the system performance.Network communication data transmission through the network linkwill experience delays cause system instability, reasonable and whether toadd communication links will play a very critical role to improve theperformance of the entire system.Dynamic network distributed AC servo system mathematical modeland simulation model based on the real-time network toolbox of Matlab/Simulink TrueTime. The model is used to simulate the dynamic networkdistributed AC servo system output at different delays (Time Delay),different network communication mode (Network Mode), differentsampling period (Sampling Period), different from the case of the packetloss rate (Loss Probability) the case of the waveform.