Title :
Notice of Retraction
Single neuron adaptive control based on ant colony algorithm
Author :
Qin Nianhao ; Wang Ping ; Han Guanqiang
Author_Institution :
Tianjin Polytech. Univ., Tianjin, China
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
This paper proposes a method of designing a single neuron adaptive controller, which combines single neuron structure with ant system algorithm. Single neuron structure can implement functions of adaptive and self-learning by adjusting weighting parameters. However, the value of neuron proportional coefficient and the learning rates parameters will affect the performance if they are selected inappropriately. Thus we introduce ant colony algorithm to find optimal solutions for this combinatorial optimization problem. With optimizing neuron proportional coefficient and weighting parameters, the performance makes a further improvement in process control system. The simulation result indicates the validity of the method.
Keywords :
adaptive control; combinatorial mathematics; control system synthesis; learning systems; neurocontrollers; optimisation; ant colony algorithm; combinatorial optimization problem; learning rates parameters; neuron proportional coefficient; process control system; self-learning; single neuron adaptive control; single neuron structure; weighting parameters; PID controller; ant colony algorithm; self adaptie; single neuron;
Conference_Titel :
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5537-9
DOI :
10.1109/ICCSIT.2010.5563992
