Q(λ) learning technique for pH control

Author

Syafiie, S. ; Tadeo, F. ; Martinez, E.

Author_Institution

Dept. of Syst. Eng. & Autom. Control, Univ. of Valladolid, Valladolid, Spain

fYear

2009

fDate

8-11 Dec. 2009

Firstpage

712

Lastpage

716

Abstract

A simple learning control approach for controlling a pH neutralization process has been developed in this paper. A one-step-ahead Q-learning, namely Q(λ)-learning, using a lookup table is developed and applied to a pH process: weak base - strong acid process. The objective of the controller is to maintain the pH within the goal state. The application at a laboratory pilot plant shows that the proposed Q(λ)-learning regulates the process well, even in the presence of reference changes.

Keywords

control engineering computing; learning systems; pH control; table lookup; Q(λ) learning technique; laboratory pilot plant; learning control; lookup table; one-step-ahead Q-learning; pH control; pH neutralization process; weak base-strong acid process; Automatic control; Chemical processes; Control systems; Fuzzy control; Learning; Nonlinear control systems; Optimal control; Process control; Time varying systems; Wastewater treatment; agents; intelligent control; learning control; neutralization process; pH control; process control;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Engineering and Engineering Management, 2009. IEEM 2009. IEEE International Conference on

Conference_Location

Hong Kong

Print_ISBN

978-1-4244-4869-2

Electronic_ISBN

978-1-4244-4870-8

Type

conf

DOI

10.1109/IEEM.2009.5373232

Filename

5373232