Modeling And Control Method Of Typical Network Communication Control System

Througnout the past decades of the information age,wire and wireless networks has become an irreplaceble information exchange way in human society.The spread,processing and application become more and more complex,the amount of information have an explosive growth.Along with the development,the problems about corresponding network resources limited also appeared.High-quality network services have become urgent needs of all sectors of society.In this paper,the transmission problems of wireless communication network,internet of vehicles and computer network are concerned.Some new methods and conclusions about network system modeling and control algorithm are proposed in order to improve the transmission performance of these three networks.The main work of this paper are as follows:(1)According to the physical characteristics and basic mathematical models of wireless communication network,internet of vehicles and computer network,a unified typical network communication control system model is proposed.This model can simultanesously summarize the basic characteristics of the three networks.So through this model,the three kinds of network problems with completely different physical meanings can become into a unified control problem,which provides great convenience for the research on control methods of this kind of network.(2)A typical network model with uncertainty and system state delay is concerned and a sliding mode variable structure control method is used to study this model.Firstly,an effective sliding surface is established to change the system structure.Then,the stability of the system is studied by establishing Lyapunov-Krasovsky function,so the gain solution of the state feedback controller can be obtained.Finally,a numerical example is given to verify the feasibility of the conclusion.(3)A typical network model with uncertainties,time-varying delays and non-linear factors is concerned,and a predictive control method is used to control it.Firstly,according to the needs of predictive control method,the system model is transformed into a prediction system model,and the influence of time-varying delays can be effectively weakened by obatianing the predicted state variables.Then,the gain of the state feedback controller is obtained through the Lyapunov stability principle.Finally,the correctness of the conclusion is verified by numerical examples.(4)A typical generalized network model with uncertainty,time-varying multi-delays,nonlinear factors and input constraints is concerned.A robust guaranteed cost control is used to deal with system problems and guarantee the stability and anti-interference performance of the system.Firstly,the stability of the system is discussed according to Lyapunov stability principle.Then,in order to ensure the system performance,a quadratic performance index J is given as a constraint of the system.And finaly the validity of the results is verified by numerical examples.According to the complexity of the obtained system models,different control methods are designed in Chapter 2,3 and 4 to study the system problems of typical networks.Due to the limited space of the example simulation part,this paper selects different basic network data as examples for simulation to prove the effectiveness of the model and algorithm.In Chapter 2,the basic data of computer network are chosen to simulate.In Chapter 3,the simulation example is about internet of vehicles.And in Chapter 4,the wireless communication network is used to prove the control performance.The simulation results all achieve the anticipated goal,and they varify the validity of the system models and control methods in this paper.