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This paper aims to design a controller to robustly stabilize uncertain nonlinear systems with time-varying delay and norm bounded uncertainties via Takagi-Sugeno (T-S) fuzzy model. The stabilization conditions are given in the form of linear matrix inequalities using a single Lyapunov-Krasovskii functional (LKF) combining the introduction of some relaxation matrices and only one tuning parameter....
Fuzzy Lyapunov synthesis is extended to the design of type-2 fuzzy logic system controllers for the output regulation problem for a servomechanism with nonlinear backlash. The problem in question is to design a feedback controller so as to obtain the closed-loop system in which all trajectories are bounded and the load of the driver is regulated to a desired position while also attenuating the influence...
As an extension of T1 FLS, IT2 FLS was proposed to handle a higher level of uncertainties by providing an additional dimension to FSs. This paper investigates IT2 FLSs' advantages over type-1 FLSs in adaptive fuzzy systems. It is shown that the uncertainties existing in consequent sets could not be fully utilized when type-reduction is performed using the uncertainty bounds method, which may limit...
In this paper, fuzzy adaptive robust control approaches and fault-tolerant algorithms are proposed for single-input-single-output (SISO) nonlinear systems with the nonlinear uncertainties, actuators faults, unmodeled dynamics and dynamic uncertainties. The unknown nonlinear functions are not linearly parameterized and have no prior knowledge of the bounding. Fuzzy logic systems are used to approximate...
In this study a reactive navigation controller using fuzzy logic has been designed. The reactive controller deals with the uncertamty and ambiguity of the information the system (mobile robot) receives. The technique has been used on MOBIRO, an experimental mobile robot holding a set of five ultrasonic proximity sensors to extract the knowledge from its surroundings. The developed technique generates...
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