Model Predictive Control of NCS with Data Quantization and Bounded Arbitrary Time Delays
The model predictive control for constrained discrete time linear system under network environment is considered. The bounded time delay and data quantization are assumed to coexist in the data transmission link from the sensor to the controller. A novel NCS model is specially established for the mo...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2015-01-01
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| Series: | Journal of Control Science and Engineering |
| Online Access: | http://dx.doi.org/10.1155/2015/259480 |
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| Summary: | The model predictive control for constrained discrete time linear system under network
environment is considered. The bounded time delay and data quantization are assumed to coexist in
the data transmission link from the sensor to the controller. A novel NCS model is specially established
for the model predictive control method, which casts the time delay and data quantization into a unified
framework. A stability result of the obtained closed-loop model is presented by applying the Lyapunov
method, which plays a key role in synthesizing the model predictive controller. The model predictive
controller, which parameterizes the infinite horizon control moves into a single state feedback law, is
provided which explicitly considers the satisfaction of input and state constraints. Two numerical examples
are given to illustrate the effectiveness of the derived method. |
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| ISSN: | 1687-5249 1687-5257 |