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In this manuscript, we present a novel method to solve Lorenz chaos problem. As we known, the traditional fuzzy logic control method, it spends a lot of time to determine the membership functions and fuzzy if-then rules by trial-and-error tuning. To overcome these drawbacks, we propose to design an interval fuzzy type-2 controller with the sliding surface. The fuzzy if-then rules are defined based...
In this paper, a fuzzy controller is implemented by an embedded system and applies to the wall-following control of a car-like mobile robot. First, we introduce a model of the car-like mobile robot. Next, we address the design scheme of fuzzy control. According to the expert, the fuzzy rules are constructed. Finally, the feasibility and robustness of the proposed controller are demonstrated by experimental...
This paper presents an adaptive fuzzy sliding mode control (AFSMC) scheme for chaos control of Lorenz system. In this scheme, the reaching law required to drive the system states of Lorenz system to the sliding surface is inferred by an adaptive technique and a set of fuzzy logic rules based upon the output of a sliding mode controller (SMC). The feasibility and effectiveness of the AFSMC scheme are...
This paper presents the design of a nonlinear rule based fuzzy logic controller for the nonlinear dynamic behavior of the probe tip of an atomic force microscope system (AFMs). At first, we use the bifurcation diagram to analysis the complex dynamic behavior of the atomic force microscope system. Next, the positive maximum Lyapunov exponent is obtained to identify that the chaotic motion do exist...
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