Quadratic optimal fuzzy control

Salgado, Paulo; Igrejas, Getúlio; Garrido, Paulo

http://hdl.handle.net/10198/2751

Use this identifier to reference this record.

Name:	Description:	Size:	Format:
Quadratic optimal fuzy control.pdf		790.31 KB	Adobe PDF	Download

Send Feedback

Authors

Salgado, Paulo

Igrejas, Getúlio

Garrido, Paulo

Abstract(s)

One presents a fuzzy logic approach for optimal control of discrete-time nonlinear dynamic systems with a quadratic criterion. The approach is based on Pontryagin’s Minimum Principle. Using back propagation from the final co-state error and gradient descent, a method is devised which allows for training an adaptive fuzzy inference system to estimate values for the co-state variables converging to the optimal ones. In turn this implies that the controlled variables trajectories also converge to the optimal ones. The approach allows finding a solution to the optimal control problem on-line, by training of the system, rather than by pre computing it. In particular, the use of an adaptive fuzzy inference system also will allow incorporating a priori knowledge about the optimal behavior of the co-state variable and track changes in the system.

Keywords

Fuzzy systems Optimal

URI

http://hdl.handle.net/10198/2751

Citation

Salgado, Paulo; Igrejas, Getúlio; Garrido, Paulo (2006). Quadratic optimal fuzzy control. In ANIPLA International Congress on Methodologies for Emerging Technologies in Automation. Roma