Control of Multivariable Coupling System Based on Improved PID Neural Networks
2012 ◽
Vol 157-158
◽
pp. 386-389
Keyword(s):
The paper analyzes the characteristics and the situation of the control of multivariable coupling system, combining improved PID neural networks with PSO algorithm, and finally designs a suitable controller model. To achieve a controller model, an initial structure of PID neural networks is established in the first place. Then weights in the network is initialized by PSO algorithm and optimized by improved gradient descent algorithm. A simulation, MIMO coupling system, prove this controller has such characteristics with short time and high precision. The research of the paper provides a new idea and approach for control of complex coupling system.
2020 ◽
Vol 07
(01)
◽
pp. 93-107
◽
2014 ◽
Vol 9
(9)
◽
pp. 151-158
2012 ◽
Vol 39
(3)
◽
pp. 2397-2407
◽
Keyword(s):
2019 ◽
Vol 8
(1)
◽
pp. 63