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Defined technique of control system model design with fuzzy logic controller. Presented simulation modeling results of the system with fuzzy logic controller. The input and output linguistic variables term-set accessory functions are obtained. The input and output variables correlation is determined as rule base. The visualization of the fuzzy interface surface is achieved.
This paper aims at the Genetic Algorithm (GA's) based tuning of fuzzy logic controller (FLC). A two-step approach is proposed to tune a fuzzy logic controller using genetic algorithm. Moreover, it has been tried to develop a stepwise method to tune a fuzzy logic controller with GA in less number of generations. Special attention has been given to the learning of knowledge base which can be used for...
In the main frame of the optimal control process has to be focused this work, where a methodology based on the performance of Genetic Algorithms to be used to search the appropriate knowledge base, defined in the sense of Fuzzy Logic, for the process controller. Two stages have to be considered to obtain the control system - Initial Stage and Conclusions Phase. First point search the control law for...
Fault diagnosis in digital hardware using AI techniques is good domain for basic and applied research. An intelligent frame work for fault detection and isolation in Philips 89v52 RD2 microcontroller based system is discussed in this paper. The main feature includes intelligent diagnostic assessment and effective management of the testing process using fuzzy approaches. Fuzzy modeling is used to derive...
The task of the standard Mamdani fuzzy logic controller is to find a crisp control action from the fuzzy rule-base and from a set of crisp inputs. Because the interval inputs are frequently used in various domains (online shopping, for instance), in this paper we propose an extension of this type of controller which works with intervals as inputs and with various implication operators. For any implication...
Learning fuzzy rule-based systems with genetic algorithms can lead to very useful descriptions of several optimization and search problems. In the fuzzy logic method, when the inputs to the fuzzy controller in any process are increased, then the number of rules increases exponentially. To overcome the above problem, genetic algorithm (GA) is used. Genetic algorithm is a search and optimization technique...
In order to realization electronic parts product appearance quality detection control, one kind of processor based on the intelligent knowledge automatic extraction and system intelligence modeling was presented. In the processor, wavelet-fuzzy technique and neural network technique are combined. Uses the fuzzy wavelet extraction image feature, and wavelet function is used as fuzzy membership function...
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