Adaptive prediction control of complex system model and its simulation

GAO Feng

Volume 18 Issue 4

Jul. 2017

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GAO Feng. Adaptive prediction control of complex system model and its simulation[J]. Journal of Zhejiang A&F University, 2001, 18(4): 433-437.

Citation:

GAO Feng. Adaptive prediction control of complex system model and its simulation[J]. Journal of Zhejiang A&F University, 2001, 18(4): 433-437.

Adaptive prediction control of complex system model and its simulation

GAO Feng

1.
Center of Modern Educational Technology , Zhejiang Forestry College , Lin’an 311300 , Zhejiang , China

Received Date: 2001-06-22
Rev Recd Date: 2001-09-28
Publish Date: 2001-12-20

Abstract

To the poor information and uncertain system featured by significant uncertainties and random disturbances and to the system eigenparameters varying greatly with the working conditions and surroundings , a computer control method is firstly designed , which is named as grey generalized prediction control method (GGPC), by combining the research of grey system theory with generalized prediction control theory .Main work includes :a single-step GGPC method about single-input single-output system is put forward , and the simulation experiment is done under the Matlab environment .Effectiveness of the GGPC model and its power are demonstrated well .The simulation results show that this new control method has very strong robustness and adaptability as well as good resistant disturbances and satisfied performances .It is useful for the real-time control of the poor information and uncertain system .
- gray systems,
- single input and single ouput system,
- grey generalized prediction control,
- Matlab environment,
- simulate

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通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

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Adaptive prediction control of complex system model and its simulation

1. Center of Modern Educational Technology , Zhejiang Forestry College , Lin’an 311300 , Zhejiang , China

Received Date: 2001-06-22

Rev Recd Date: 2001-09-28

Publish Date: 2001-12-20

Key words:

Abstract: To the poor information and uncertain system featured by significant uncertainties and random disturbances and to the system eigenparameters varying greatly with the working conditions and surroundings , a computer control method is firstly designed , which is named as grey generalized prediction control method (GGPC), by combining the research of grey system theory with generalized prediction control theory .Main work includes :a single-step GGPC method about single-input single-output system is put forward , and the simulation experiment is done under the Matlab environment .Effectiveness of the GGPC model and its power are demonstrated well .The simulation results show that this new control method has very strong robustness and adaptability as well as good resistant disturbances and satisfied performances .It is useful for the real-time control of the poor information and uncertain system .

Adaptive prediction control of complex system model and its simulation

Abstract

References

Proportional views

通讯作者: 陈斌, bchen63@163.com

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