LMI Approach to Analysis and Control of Takagi Sugeno Fuzzy Systems with Time Delay Stability Analysis of T S Fuzzy Systems Extension to Fuzzy Large Scale Systems Stabilization Methods for T S Fuzzy Systems Variable Structure Control for T S Fuzzy Systems Observer Based Fuzzy Control: Delay Independent Method Observer Based Fuzzy Control: Delay Dependent Method Output Tracking Control for T S Fuzzy Systems Fuzzy Filter Design for T S Fuzzy Systems Descriptor Method for T S Fuzzy Control Systems. SinceinitiatedbyLotA. Zadehin1965 fuzzysettheoryhastriggeredacons erably large body of areas to blossom. A fuzzy system is in a very broad sense anyfuzzylogic basedsystemwherefuzzylogiccanbeusedeither asthebasisfor the representation of dierent forms of system knowledge or the model for the interactions and relationships among the system variables. Fuzzy systems have proven to be an important tool for modeling complex systems for which due to complexity or imprecision classical tools are unsuccessful. There have been diverse elds of applications of fuzzy technology from medicine to management from engineering to behavioral science from vehicle control to computational linguistics and so on. Fuzzy modeling is a conjunction to understand the s tem’s behavior and build useful mathematical models. Dierent types of fuzzy models have been proposed in the literature among which the Takagi Sugeno (T S) fuzzy model is a rule based one suitable for the accurate approximation and identication of a wide class of nonlinear systems. There has been an creasing amount of work on analysis and synthesis of fuzzy systems based on T S fuzzy models. Since 2000 T S fuzzy model approach has been extended to tackleanalysisandcontrolproblemsofnonlinear systemswith time delay. So far extensive results have been presented for investigating T S fuzzy systems with time delay many of which adopt an easy and popular scheme say linear matrix inequality (LMI) based method. However there lacks of a monograph in this direction to provide the state of the art of coverage of this new growing area.