Tools for intelligent control: fuzzy controllers, neural networks and genetic algorithms

@article{Jamshidi2003ToolsFI,
  title={Tools for intelligent control: fuzzy controllers, neural networks and genetic algorithms},
  author={Mo Jamshidi},
  journal={Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences},
  year={2003},
  volume={361},
  pages={1781 - 1808}
}
  • Mo Jamshidi
  • Published 2003
  • Physics, Medicine
  • Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences
  • The goal of this expository paper is to bring forth the basic current elements of soft computing (fuzzy logic, neural networks, genetic algorithms and genetic programming) and the current applications in intelligent control. Fuzzy sets and fuzzy logic and their applications to control systems have been documented. Other elements of soft computing, such as neural networks and genetic algorithms, are also treated for the novice reader. Each topic will have a number of relevant references of as… CONTINUE READING

    Figures and Topics from this paper.

    Citations

    Publications citing this paper.
    SHOWING 1-10 OF 37 CITATIONS

    Soft sensor development and process control of anaerobic digestion

    VIEW 4 EXCERPTS
    CITES BACKGROUND & METHODS
    HIGHLY INFLUENCED

    FILTER CITATIONS BY YEAR

    2003
    2020

    CITATION STATISTICS

    • 1 Highly Influenced Citations

    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 55 REFERENCES

    Neural networks for control systems

    VIEW 2 EXCERPTS

    Genetic Programming

    VIEW 1 EXCERPT

    Optimization of Control Parameters for Genetic Algorithms

    VIEW 11 EXCERPTS
    HIGHLY INFLUENTIAL

    Stability Issues in Fuzzy Control

    VIEW 5 EXCERPTS
    HIGHLY INFLUENTIAL

    Learning Control Systems-Review and Outlook

    • King-Sun Fu
    • Computer Science, Medicine
    • IEEE Transactions on Pattern Analysis and Machine Intelligence
    • 1986
    VIEW 1 EXCERPT