@article{MAKHILLIJSC20072520876,
    title = {Genetic Algorithm Based Gain Scheduled Fuzzy Logic Controller for an Unknown Process},
    journal = {International Journal of Soft Computing},
    volume = {2},
    number = {5},
    pages = {599-605},
    year = {2007},
    issn = {1816-9503},
    doi = {ijscomp.2007.599.605},
    url = {https://makhillpublications.co/view-article.php?issn=1816-9503&doi=ijscomp.2007.599.605},
    author = {P. Melba Mary and},
    keywords = {Discrete time system,Fuzzy Inference Systems (FIS),fuzzy logic,Fuzzy Logic Control (FLC),gain scheduling,Genetic Algorithm (GA)},
    abstract = {This study proposes a novel approach based on  genetic algorithm optimized fuzzy logic controller, for the design of a temperature control  process, capable of providing optimal performance over the entire operating range of the process. Since an optimum response of the Fuzzy Controller can be expected only for a limited range of inputs, here tuning  the input , output gains and the scaling factor are done for other ranges of inputs. The proposed control system combines the advantages of Genetic Algorithm and Fuzzy Logic Control schemes. In order to evaluate the performance of the proposed control system methods, results from simulation of the process are presented.}
    }