Islam, S.I.Shi, P.Lim, C.C.2024-01-022024-01-022020Granular Computing, 2020; 5(1):55-692364-49662364-4974https://hdl.handle.net/2440/140294This paper presents a new technique for stabilising a Takagi-Sugeno (T-S) fuzzy system with time-delay and uncertainty. A robust fuzzy functional observer is employed to design a controller when the system states are not measurable. The model uncertainty is norm bounded, and the time delay is time varying but bounded. The parallel distributed compensation method is applied for defining the fuzzy functional observer to design this controller. The proposed procedure reduces the observer order to the dimension of the control input. Improved stability conditions are provided for the observer compared with the existing results of functional observer based stabilisation of T-S fuzzy models. Lyapunov-Krasovskii functionals are used to construct delay dependent stability conditions as linear matrix inequalities. The solution of these inequalities is used for calculating the observer parameters. The sensitivity of the estimation error to the model uncertainty is reduced by minimising the L2 gain. The new design method developed is illustrated and verified using two examples.en© Springer Nature Switzerland AG 2018Takagi–Sugeno fuzzy model; Functional observer; Time-delay; Robust controller designJournal article10.1007/s41066-018-0138-x2024-01-02439587Shi, P. [0000-0001-6295-0405] [0000-0001-8218-586X] [0000-0002-0864-552X] [0000-0002-1358-2367] [0000-0002-5312-5435]Lim, C.C. [0000-0002-2463-9760]