Modeling And Filter Designing For Wireless Networked Control Systems With Resource Constraints

With development of network communication technology and control technology,the application of wireless network communication technology is widely used in the actual industrial control system.The distributed sensors,actuators and controllers/filters are connected over a wireless network,which are called wireless Networked control systems.which has low cost?simple installation and high reliability,but when wireless communication network is inserted in industrial control,the performance of these systems on analysis and design become complicated,it leads to many problems,such as communication constraints and random packet losses,network-induced delays.Therefore,it is very important to study and develop the problem of filter technique for WNCSs with resource constraints.This paper mainly focuses on build modeling and filter designing for the WNCSs and the simulation is investigated.The researches are as follows:First of all,the method of H? filter for WNCSs is studied to solve communication constraints and noise interference.The communication constraints are modeled by discrete Markov chain,and then the closed-loop WNCSs model is derived and the model dependent H?filters is designed,parameter matrix of the model-dependent filter is given.In addition,the design of l2/l? filter designing for WNCSs with communication constraints and random packet losses are considered.The system measurement outputs are quantized by a logarithmic quantizer before being transmitted to the filter,communication constraints are described by discrete Markov chain,multiple packet losses,which are modeled by Bernoulli random binary distribution.And then the closed-loop WNCSs model and the l2/l? filter parameters under stochastic stability are derived.Finally,H? filter designing of wireless networked control system with the energy constraints is investigated from the viewpoint of energy saving optimization.Time-varying sampling strategy and Frequency-drop Sending Strategy are adopted to reduce energy consumption during sensor sampling and transmission,stochastic stability of the closed-loop WNCSs are derived by the lyapunov stability theory and LMI approach,and H? filter designed.