Delaydependent H_∞ Control For TS Fuzzy Time Delay Systems And Its Application In NCS  Posted on:20090507  Degree:Master  Type:Thesis  Country:China  Candidate:D W Zhang  Full Text:PDF  GTID:2178360272963580  Subject:Pattern Recognition and Intelligent Systems  Abstract/Summary:  PDF Full Text Request  It is well known that nonlinear dynamics exist in most practical control systems.Considering the uncertainties of the controlled plants usually occurred in modeling and everpresent timedelay phenomenon,it is a significant issue to design a robust controller for uncertain nonlinear systems with time delay.On the other hand,networked control systems(NCSs) are feedback control systems with the control loop closed via a realtime network. In such NCSs,a controller and spatially distributed sensors/actuators are grouped into network notes respectively and communicate by exchanging packetbased messages through a network.Thus the NCSs share greater flexible structure,more powerful function and more complicated analysis and synthesis.The insertion of the communication network makes conventional control theories be reevaluated before they can be applied to NCSs.Hence,it is important to investigate the NCSs with nonlinear controlled plant,not only in theory but also in application.In chapter 1,the significance of this thesis is introduced in both theory and application.And the research situation at home and abroad is recalled.In chapter 2,an uncertain TS fuzzy model is firstly adopted to represent nonlinear systems with timevarying delay,in which the modeling errors are absorbed in the uncertainty part.Then based on a novel LyapunovKrasovskii function,the delaydependent robust H_∞control problem for TS fuzzy time delay systems is considered.The design method of robust H_∞controller and new stabilization results are developed respectively in terms of LMIs,which are both less conservative than the existing ones.The efficiency of our design methods are finally illustrated by two numerical examples.In chapter 3,for a class of NNCSs which is composed of a nonlinear controlled plant,a reference model and network nodes,by the parallel distributed compensation(PDC) technique and choosing reasonable driven mode of network nodes,the tracking control model for such NNCSs is established and the synthetical network index with both networkinduced delay and packet losses and a H_∞tracking performance index in the network environment are presented.Based on the situation above,resorted to the idea in chapter 2,the tracking control problem is considered by using the H_∞fuzzy tracking control approach.The efficiency of our design method is finally verified by simulation on a Duffing ForcedOscillation system.In chapter 4,the main results of the thesis are concluded,and some research issues in future are proposed.The main contributions of the dissertation are as follows:(1) A novel LyapunovKrasovskii function is presented.And the design method of robust H_∞controller and new stabilization results for TS fuzzy time delay systems are respectively established in terms of LMIs,which reduce the conservatism of the previous results.(2) Based on the TS fuzzy model and the fuzzy PDC technique,the novel tracking control model for a class of NNCSs is firstly established,then the tracking control design for such NNCSs is equivalent to a feasibility problem of the provided criterion in terms of LMIs,which facilitates greatly network designers to resort our results in practice.(3) Considering the relation between the measured data of controlled plant and available data of the fuzzy controller via network transmission (includes premise variables),the difference of the fire mechanism between the TS fuzzy model of the controlled plant and the fuzzy controller is revealed.(4) A synthetical network index with both networkinduced delay and packet losses is presented,and the tracking control for a class of NNCSs based on TS fuzzy model is firstly investigated.  Keywords/Search Tags:  Robust H_∞control, TS fuzzy model, Nonlinear networked control systems (NNCSs), Tracking control, Networkinduced delay, Packet losses, Linear matrix inequality (LMI)  PDF Full Text Request  Related items 
 
