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Astract: Ths aer ntrouces a fuzzy controesn methofor nonnear systems wth H Abstract: This paper introduces a fuzzy control design method for nonlinear systems with H??? rerfomance nex. Frst, te Taa???ueno T???fuzzmoes emoeto eresnt a nonnear performance index First the Takagi Sugeno (T S) fuzzy model is employed to epresnt a nonlinear Abstract: This paper introduces a fuzzy control design method for nonli near syste ms with H??? ra ar roces ucotreeoonn r ms perforance index. First the Takagi???Sugeno (T???S) fuzzy model is eployed to represent a noninear Abst t: This p p int du a f zz n od sign m th d f r onli ar syste with H??? m . , , l mpe rf orma nce index Fi rst, the Takagi S ugeno (T ???S) fu zzy model is employed t o r p res ent a nonr sstem ext, aseon te fuzzmoea araestrutecomensaton PDaseeaesystem Next based on the fuzzy model a parallel distributed compensation (PDC) based delayed fuzzy controer s eveoeThe avanta e of the roosecontroess that ony a sme fuzzy controller is d eveloped . The advantge of the proposed control desgis that only a simple system. Next, based on the fuzzy model, a para lel distributed compensaton (PDC) based delayed i s dvel oped The dvantage of the proposed control desgn sthat only a simple controer az. isy ste m. Ne xt, bas ed on the fu zzy mod el, a pa rallel distribu ed compe ns ation (PDC) b ased delayed cont roer s usn our arocwtout te feeacnearaton tecnue Bconstructnfuzzy control er is used in our approach without the feedback linearization techni que By constructing fuzzy controll er i s devel oped . The advantage of the propos ed control design s that only a simple zzr n r t iarzon c. na sutae Launov KrasovsfunctonaLKFanusnte rtneraseneuatmetote asuitable Lyapunov Krasovskii functional (LKF) and using theWirtinger based inequality method the fu y controlle is used i ou approach withou the feedback l ne ati te hnique By co tructing zzx . , roosefuy controroem s esen terms of near matreuaty LMroem Fnay proposed fuzzy cntrol prblem is desged in terms of liear matrx equality (LMI) probleFinally asuitable Lyapunov???Krasovskii functonal(LKF)andusingtheWrtinger-basedinequalitymethod,the no???nsnrna suitable Lyapu v???Krasovskii fu cti onal (LKF) and u i g the Wi ti ger-based inequali h d h te smuaton resus resenteto sow te effectveness of te rooseconton proposed fuzzy conrol poblem i s desi gned in terms of linear matrix i nequality (LMI) the simulation result is resented to show the effectiveness of the proposed condition d f t l bl i d i d i f li t i i lit (LMI)