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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Tian Qi Weizhou Su |
| Copyright Year | 2008 |
| Description | Author affiliation: Coll. of Autom. Sci. & Technol., South China Univ. of Technol., Guangzhou (Tian Qi; Weizhou Su) |
| Abstract | This paper studies the tracking performance for linear time-invariant multi-input single-output (MISO) discrete-time feedback systems with quantized control signals. The specific problem under consideration is that the quantized control signals transmitted to a given plant by two different communication channels which satisfy some constraint. The tracking performance is measured by the energy of the error response between the output of the plant and the reference signal. Logarithmic quantization law is used in the quantizers. To obtain the best attainable tracking performance of the feedback system, two parameter controller is adopted. By using stochastic dynamic programming approach, the best attainable tracking performance is in terms of the state equation of the plant and the largest relative quantization errors of the logarithmic quantization laws. Furthermore, a sufficient condition for asymptotical tracking is given for the feedback system in an average sense. |
| Starting Page | 1424 |
| Ending Page | 1429 |
| File Size | 172153 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424422869 |
| DOI | 10.1109/ICARCV.2008.4795732 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-12-17 |
| Publisher Place | Vietnam |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Control systems Communication system control Quantization Linear feedback control systems Communication channels Energy measurement Stochastic processes Dynamic programming Equations Sufficient conditions Logarithmic quantizer Tracking performance limitation Optimal control |
| Content Type | Text |
| Resource Type | Article |
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