Membership function extrema are used to construct a simple and tighter convex polyhedron that encloses the membership trajectory and produces less conservative linear matrix inequality (LMI) conditions. The case
Type-1FuzzySystem IntervalType-2FuzzySystem GeneralizedType-2FuzzySystem FuzzyController Mobilerobot Control abstract TheaimofthispaperistoshowthataGeneralizedType-2FuzzyControlSystemcanoutperformType-1 andIntervalType-2FuzzyControlSystemswhenexternalperturbationsarepresent.AGeneralizedType- 2FuzzySystemcanhandlebett...
Robot systems robots calibrations interval type-2 fuzzy logic controls mechatronics View PDFReferences 1 K. Lau Dagalakis, D. Myers "Testing," International Encyclopedia of Robotics R.C. Dorf, S.Y. Nof (Eds.), Application and Automation, John Willey & Sons, Inc. (1988), pp. 1752-1753 ...
The proposed method performs type-1, interval type-2 and general type-2 f... P Melin,D Sánchez - 《Granular Computing》 被引量: 0发表: 2019年 Hierarchical interval type-2 fuzzy path planning based on genetic optimization This paper focuses on the path planning of mobile robot. Fuzzy ...
similar toA. In this paper, a vector similarity measure (VSM) is proposed for T1 FSs, whose two elements measure the similarity in shape and proximity, respectively. A comparative study shows that the VSM gives best results. Additionally, the VSM can be easily extended to interval type-2 ...
In mathematics a real-value function\( f(x) \)defined on an interval is calledconvexif the line segment between any two points on the graph of the function lies above or on the graph (e.g., a parabola). Why the fuzzy setAthat satisfies (2.6) is called “convex” rather than “conc...
Therefore, each interval of the membership function would become an ordinary fuzzy set, and this is what is called an interval type-2 fuzzy set [31], which can be visualized in Figure 2. Figure 2. The membership function representation: (a) Type-1 fuzzy membership function; (b) type-2 ...
Soon after their launch, fuzzy sets became an object of extensions by themselves. Chronologically, the first of these extensions, L-fuzzy sets, were introduced by Goguen in 1969 [2]. The second extension was from Zadeh [3], who introduced the idea of interval-valued fuzzy sets. The third ...
The model of improving the power customer satisfaction is built and the corresponding linguistic dynamic orbits are given. In addition, the feasibility and effectiveness of the method is validated by an example.关键词: linguistic dynamic orbits Power customer satisfaction interval type-2 fuzzy set ...
图 6 3 种控制器作用下的跟踪误差 Fig.6 Tracking error under three controllers 图 8 不确定系统参数下的跟踪误差区间 Fig.8 Tracking error interval under uncertain system parameters 图 7 3 种不同控制器作用下的控制力矩 Fig.7 Control torque under three controllers 3.3 动力学响应区间分析 在发射过程...