Corpus ID: 14591728

A Novel Multi-Agent Controller for Dynamic Systems based on Supervisory Loop Approach

@article{Kamalasadan2007ANM,
  title={A Novel Multi-Agent Controller for Dynamic Systems based on Supervisory Loop Approach},
  author={S. Kamalasadan},
  journal={Eng. Lett.},
  year={2007},
  volume={14},
  pages={81-88}
}
  • S. Kamalasadan
  • Published 2007
  • Computer Science
  • Eng. Lett.
  • This paper presents a new intelligent agent supervisory loop based approach for dynamic system control. The scheme consists of three software agents that work in an autonomous manner for the precision control of a system that shows multiple modes and drastic parametric 'jumps'. The first two agents are based on artificial intelligent techniques (fuzzy systems and Radial Basis Function Neural Network (RBFNN)) that monitor a closed loop system using a supervisory loop concept. The third agent… CONTINUE READING
    4 Citations

    References

    SHOWING 1-10 OF 24 REFERENCES
    Adaptive control using multiple models
    • 1,303
    Fuzzy model based adaptive control for a class of nonlinear systems
    • 39
    Stable adaptive control using fuzzy systems and neural networks
    • 599
    Controller reconfiguration for non-linear systems
    • 65
    Neural-networks-based adaptive control of flexible robotic arms
    • 24
    Reconfigurable flight control via multiple model adaptive control methods
    • 58
    Adaptive output feedback control of nonlinear systems using neural networks
    • 288
    Nonlinear adaptive control using neural networks and multiple models
    • 175
    Adaptive control of discrete-time systems using multiple models
    • 291