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In the conventional robust ISS (input to state stable) which satisfies control strategy, all parameters of the system must be known and deterministic. Since it confines the application, in this paper an attempt is made to create a bridge between two important design techniques, i.e., the robust ISS-satisficing control strategy and the variable universe indirect fuzzy control strategy, to offset this...
Within the model reference adaptive control (MRAC) framework, a continuous adaptive output-feedback control scheme is developed for a class of nonlinear SISO dynamic systems with time delays which is robust with respect to unknown time-varying plant delays and to an external disturbance with unknown bounds. A special form of the Lyapunov-Krasovskii functional with a “virtual” adaptation gain vector...
In this paper, an observer-based robust adaptive fuzzy sliding mode controller (RAFSMC) for an unknown nonlinear dynamical system with dead-zone input is presented. First, the fuzzy models are used to estimate the unknown function of the nonlinear dynamical system. Next, an observer is employed to estimate the tracking error. By the strictly-positive-real (SPR) Lyapunov stability theorem, it is shown...
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