A Correlation among Potential Fields, Dempster-Shafer, Fuzzy Logic and Neural Networks Based Intelligent Control Systems
نویسنده
چکیده
The main object of the research work is to compare and correlate the Intelligent control which has a class of control technique used in several artificial intelligence computing approaches namely Motion or Path Planning (using potential fields),Evidence Theory (dempster – shafer),Fuzzy Systems, Neural Networks etc. A detailed study to arrive a research based solutions to find relations among these intelligent control techniques namely – potential fields used in motion or path planning of robots, the theory of evidence, fuzzy systems and neural networks has been achieved. This paper attempts to correlate the intelligent control technique based on real time applications and results has been achieved.
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