PID Neural Network Control System of Multi-variable and Strong-coupled Time-varying System

SHU Huai-lin; GUO Xiu-cai

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Article Navigation > Journal of Mine Automation > 2003 > 29(5): 16-18

SHU Huai-lin , GUO Xiu-cai . PID Neural Network Control System of Multi-variable and Strong-coupled Time-varying System[J]. Industry and Mine Automation, 2003, 29(5): 16-18.

Citation:

SHU Huai-lin , GUO Xiu-cai . PID Neural Network Control System of Multi-variable and Strong-coupled Time-varying System[J]. Industry and Mine Automation, 2003, 29(5): 16-18.

SHU Huai-lin , GUO Xiu-cai . PID Neural Network Control System of Multi-variable and Strong-coupled Time-varying System[J]. Industry and Mine Automation, 2003, 29(5): 16-18.

Citation:

SHU Huai-lin , GUO Xiu-cai . PID Neural Network Control System of Multi-variable and Strong-coupled Time-varying System[J]. Industry and Mine Automation, 2003, 29(5): 16-18.

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PID Neural Network Control System of Multi-variable and Strong-coupled Time-varying System

1.
1.Institute of Information and Control Technology, Guangzhou University, Guangzhou 510091, China.2.College of Electrical and Control Engineering, Xi’an University of Science and Technology, Xi’a

Publish Date: 2003-10-10

Abstract

Abstract

The paper introduced a new kind of neural network: PID neural network and its multi variable and strong coupled time varying system. The structure and the algorithm were given, the characteritics of the time varying system were analyzed, the real time simulation results of double variable and strong coupled time varying system were shown. It proved that the PID neural network has perfect decouple and self learning control performance for strong coupled time varying system.
- multi-variable,
- time-varying system,
- neural network,
- self-learning control,
- decouple control,
- PID