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Please use this identifier to cite or link to this item:
http://hdl.handle.net/1974/7684
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| Title: | Networked Control Systems with Unbounded Noise under Information Constraints |
| Authors: | Johnston, Andrew |
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| Keywords: | stochastic control
quantizers
communication constraints
decentralized control |
| Issue Date: | 6-Dec-2012 |
| Series/Report no.: | Canadian theses |
| Abstract: | We investigate the stabilization of unstable multidimensional partially observed single-station, multi-sensor (single-controller) and multi-controller (single-sensor) linear systems controlled over discrete noiseless channels under fixed-rate information constraints. Stability is achieved under communication requirements that are asymptotically tight in the limit of large sampling periods. Through the use of similarity transforms, sampling and random-time drift conditions we obtain a coding and control policy leading to the existence of a unique invariant distribution and finite second moment for the sampled state. We use a vector stabilization scheme in which all modes of the linear system visit a compact set together infinitely often. |
| Description: | Thesis (Master, Mathematics & Statistics) -- Queen's University, 2012-12-06 15:06:37.449 |
| URI: | http://hdl.handle.net/1974/7684 |
| Appears in Collections: | Queen's Theses & Dissertations
Mathematics & Statistics Graduate Theses
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