Abstract
In this paper, the Bellman equation is used to solve the optimal adaptive control of quantized linear discrete-time system with unknown dynamics. to mitigate the effect of the quantization errors, the dynamics of the quantization error bound and an update law for tuning the range of the dynamic quantizer are derived. Subsequently, by using adaptive dynamic programming technique, the infinite horizon optimal regulation problem of the uncertain quantized linear discrete-time system is solved in a forward-in-time manner without using value and/or policy iterations. the asymptotic stability of the closed-loop system is verified by standard Lyapunov stability approach in the presence of state and input quantizers. the effectiveness of the proposed method is verified via simulation. © 2012 IEEE.
Recommended Citation
Q. Zhao et al., "Optimal Adaptive Controller Scheme for Uncertain Quantized Linear Discrete-time System," Proceedings of the IEEE Conference on Decision and Control, pp. 6132 - 6137, article no. 6425803, Institute of Electrical and Electronics Engineers, Jan 2012.
The definitive version is available at https://doi.org/10.1109/CDC.2012.6425803
Department(s)
Electrical and Computer Engineering
Second Department
Computer Science
International Standard Serial Number (ISSN)
2576-2370; 0743-1546
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
01 Jan 2012
