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} }
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
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References
SHOWING 1-10 OF 24 REFERENCES
Fuzzy model based adaptive control for a class of nonlinear systems
- Mathematics, Computer Science
- IEEE Trans. Fuzzy Syst.
- 2001
- 39
Stable adaptive control using fuzzy systems and neural networks
- Computer Science, Mathematics
- IEEE Trans. Fuzzy Syst.
- 1996
- 599
Reconfigurable flight control via multiple model adaptive control methods
- Engineering
- 29th IEEE Conference on Decision and Control
- 1990
- 58
Adaptive output feedback control of nonlinear systems using neural networks
- Mathematics, Computer Science
- Autom.
- 2001
- 288
Nonlinear adaptive control using neural networks and multiple models
- Mathematics, Computer Science
- Autom.
- 2001
- 175
Adaptive control of discrete-time systems using multiple models
- Mathematics, Computer Science
- IEEE Trans. Autom. Control.
- 2000
- 291