Abstract
This paper provides a networked predictive control (NPC) method for control systems over general packet radio service (GPRS) networks. The NPC method can actively compensate for the network delay and data dropout, which is well known to seriously degrade the performance of control systems. This method is an improved and intelligent implementation of the model based predictive control (MPC) method. A control prediction sequence is generated using the MPC strategy and an appropriate control prediction is chosen from the sequence according to the network delay and data dropout. The stability of the closed-loop networked predictive control system is also discussed. Simulations and practical experiments results show that the proposed control strategy can efficiently improve the performance of control systems over GPRS wireless networks.
Original language | English |
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Pages (from-to) | 589-606 |
Number of pages | 18 |
Journal | Dynamics of Continuous, Discrete and Impulsive Systems Series B: Applications and Algorithms |
Volume | 16 |
Issue number | 5 |
Publication status | Published - Oct 2009 |
Externally published | Yes |
Keywords
- Data dropout
- General packet radio service
- Network delay
- Networked predictive control
- Wireless network