Iterative encoder-controller design based on approximate dynamic programming
2010 (English)In: IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC, 2010Conference paper (Refereed)
In this paper, we study the iterative optimization of the encoder-controller pair for closed-loop control of a multi-dimensional plant over a noisy discrete memoryless channel. With the objective to minimize the expected linear quadratic cost over a finite horizon, we propose a joint design of the sensor measurement quantization, channel error protection, and optimal controller actuation. It was shown in our previous work that despite this optimization problem is known to be hard in general, an iterative design procedure can be derived to obtain a local optimal solution. However, in the vector case, optimizing the encoder for a fixed controller is in general not practically feasible due to the curse of dimensionality. In this paper, we propose a novel approach that uses the approximate dynamic programming (ADP) to implement a computationally feasible encoder updating policy with promising performance. Especially, we introduce encoder updating rules adopting the rollout approach. Numerical experiments are carried out to demonstrate the performance obtained by employing the proposed iterative design procedure and to compare it with other relevant schemes.
Place, publisher, year, edition, pages
Electrical Engineering, Electronic Engineering, Information Engineering
IdentifiersURN: urn:nbn:se:kth:diva-50112DOI: 10.1109/SPAWC.2010.5670879ScopusID: 2-s2.0-78751563856OAI: oai:DiVA.org:kth-50112DiVA: diva2:461037
2010 IEEE 11th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2010. Marrakech. 20 June 2010 - 23 June 2010
QC 201112052011-12-012011-12-012016-05-25Bibliographically approved