Title :
The simplification of neural network for quadratic programming problems and its applications in optimal control
Author :
Qing, Tao ; Demin, Sun
Author_Institution :
Dept. of Autom., Univ. of Sci. & Technol. of China, Hefei, China
Abstract :
In this paper, a kind of neural network for quadratic programming problems is first simplified. The simplification is necessary for high accuracy solutions and low cost implementation; the simplified model has high performance. The proposed neural network is used to solve quadratic control problems for discrete linear systems with constraints. The simulation proved the rationality of the results obtained
Keywords :
discrete time systems; linear systems; neurocontrollers; optimal control; quadratic programming; discrete linear systems; neural network; optimal control; quadratic programming; Automation; Control systems; Costs; Intelligent networks; Linear systems; Neural networks; Optimal control; Programmable logic arrays; Quadratic programming; Sun;
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
DOI :
10.1109/WCICA.2000.863193
