[PDF] Top 20 Structural Damage Control with Interval Type-2 Fuzzy Logic Controller

... the fuzzy control theory, which was presented by Zadeh on the theory of fuzzy systems, has attracted the attention of many researchers in controlling structures ...this control algorithm can ... See full document

... Impedance control is basically defined as a torque control ...impedance control. For this purpose, the controller should overcome complex problems such as uncertainty and nonlinearity involved ... See full document

... The interval type-2 FLC works as follows: the crisp inputs from the input sensors are first fuzzified into input type-2 fuzzy sets; singleton fuzzification is usually used in ... See full document

... Logic Theory. Martinez et al. [19], [20] made the same work as Astudillo but with adding GA for optimization. Leottau and Melgarejo [21] presented an approach for designing an IT2 FLS for a mobile robot ... See full document

... The fuzzy logic control algorithm can overcome the uncertainty problems ...the type-1 fuzzy logic controller (T1FLC) can’t ensure the performance, because the uncertainty ... See full document

... the fuzzy logic method in the navigation task has been analyzed by a lot of previous ...sensor-based fuzzy sensor wireless for mobile robot navigation tasks between static and moving ...the ... See full document

... the fuzzy sets, fi is the outputs within the fuzzy region specified by the fuzzy rule, pi, qi and ri are the design parameters that are determined during the training process (Widrow et ...the ... See full document

... (PI) controller and fuzzy logic type-2 (FLCT2) controller devoted to improve the performance of Indirect field orient control (IFOC) strategy of induction motor with ... See full document

... the control action fuzzy logic through type-reducer by iterative methods for computing its centroid ...to control the action non-fuzzy ...an Interval Type-2 ... See full document

... presented Interval Type2Fuzzy Logic Controller (IT2FLC) where the fuzzy knowledge based, ...Genetic Fuzzy System (GIT2FS), to generate individual command ...motor control for ... See full document

... adaptive control of nonlinear system with un-model uncertainty and bounded disturbance by using a novel recurrent fuzzy neural ...recurrent interval type-2 fuzzy neural network ... See full document

... the control rules for most applications are usually developed using ―trial and ...the fuzzy control rules for the T1FL controller are obtained from the analysis of the system ...the ... See full document

... thermal control framework based on temperature profile measurements, which manipulates screw speed and individual set temperatures together to reduce undesirable melt temperature variations while maintain the ... See full document

... our type-2 fuzzy controller we have three in- puts, two outputs and eight rules, that is deduced from its corresponding type-1 fuzzy logic by spreading the ante- cedent ... See full document

... Fuzzy logic controllers (FLCs) are usually constructed using type-1 fuzzy sets [1], referred to as type-1 ...the control of complex nonlinear systems that are dif- ficult to ... See full document

... an interval type2 fuzzy inference system (IT2FIS) and represents Takagi-Sugeno fuzzy model as generalized feed forward neural network, and trains it with Heat Exchanger I/O data, thereby adjusting ... See full document

... to control the terminal voltage and reactive power has been the common phenomena in power systems ...the controller will be tuned manually to adjust. Modern control techniques are used extensively to ... See full document

... can control the amplitude of starting current and save the energy and also the new intelligent control structure is insensitive to disturbance generated outside or within the ...addition, Fuzzy ... See full document

... Abstract—Conventional fuzzy time series approaches make use of type-1 or type-2 fuzzy ...models. Type-1 models with one index (membership grade) cannot fully handle the level of ... See full document

... and IF-indices into the classical IT2FLS (IT2IFLS). The second is to investigate the performance of the proposed framework of IT2IFLS with its type-1 counter- part. Statistical comparison is also made between IFLS ... See full document