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Abstract: In this paper, a T-S fuzzy modeling and tracking control method is proposed for wheeled mobile robots by using T-S fuzzy linearization approach.
In this paper, a T-S fuzzy modeling and tracking control method is proposed for wheeled mobile robots by using T-S fuzzy linearization approach.
Abstract—In this paper, a T-S fuzzy modeling and tracking control method is proposed for wheeled mobile robots by using. T-S fuzzy linearization approach.
In this paper we design a fuzzy backward movement control system for a mobile robot which is a non-linear and non-holonomic system. A Takagi-Sugeno model is ...
Missing: linearization. | Show results with:linearization.
Sep 4, 2024 · Here, we discuss the techniques used for the two important implementations of the Fuzzy Logic Controller - the Fuzzy Inference system and the ...
Missing: linearization. | Show results with:linearization.
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May 22, 2023 · This study presents an innovative path-following scheme using a new intelligent type-3 fuzzy system for mobile robots.
Missing: linearization. | Show results with:linearization.
The feedback linearization controller helps the mobile robot to remain on its desired path, while the fuzzy logic controller helps the mobile robot to avoid ...
Abstract. This paper presents a trajectory tracking control approach for a mobile robot in the presence of static obstacles on the reference trajectory.
The proposed polynomial fuzzy modeling and tracking control methods for wheeled mobile robots by using sum of squares (SOS) approach, which is developed as ...
The generalized predictive control algorithm based on T-S fuzzy model can be summarized as shown in Fig.1. Global. Model. T-S fuzzy sets. GPC process. Output.