TY - GEN
T1 - A PID parameters tuning algorithm inspired by the small world phenomenon
AU - Li, Xiaohu
AU - Du, Haifeng
AU - Zhuang, Jian
AU - Wang, Sunan
PY - 2008
Y1 - 2008
N2 - Based on the small world phenomenon in social networks, a local search operator and a random long-range search operator with decimal-coding are proposed, then a decimal-coding small world optimization algorithm (DSWA) is explored, which validity and feasibility are testified by the simulation of PID parameters tuning. Compared with the corresponding genetic algorithm (GA) and particle swarm optimization algorithm (PSO), the simulation results indicate that DSWA can avoid trapping to local optimum in a certain extend, and it also can find high quality parameters for PID controller.
AB - Based on the small world phenomenon in social networks, a local search operator and a random long-range search operator with decimal-coding are proposed, then a decimal-coding small world optimization algorithm (DSWA) is explored, which validity and feasibility are testified by the simulation of PID parameters tuning. Compared with the corresponding genetic algorithm (GA) and particle swarm optimization algorithm (PSO), the simulation results indicate that DSWA can avoid trapping to local optimum in a certain extend, and it also can find high quality parameters for PID controller.
KW - Decimal-Coding
KW - PID Parameters Tuning
KW - Small World Phenomenon
UR - https://www.scopus.com/pages/publications/56549088546
U2 - 10.1007/978-3-540-87442-3_100
DO - 10.1007/978-3-540-87442-3_100
M3 - 会议稿件
AN - SCOPUS:56549088546
SN - 3540874402
SN - 9783540874409
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 817
EP - 824
BT - Advanced Intelligent Computing Theories and Applications
T2 - 4th International Conference on Intelligent Computing, ICIC 2008
Y2 - 15 September 2008 through 18 September 2008
ER -