Title
Understanding Disturbance Attenuation Problems With Unknown Input Time-Delays: A Game-Theoretic Approach With Performance Risk Aversion
Abstract
The main contribution is the application of a zero-sum game-theoretic framework and performance-measure statistics that can help robust control design to obtain a certain level of performance robustness in presence of adversarial process and measurement disturbances starting from the assumptions of linear stochastic dynamics, unknown input time-delays, a finite-horizon integral-quadratic cost and noisy output observations. A disturbance attenuation problem is based on a saddle-point equilibrium associated with the controller with performance risk aversion in competing with persistent process and measurement disturbances. The resulting saddle-point strategies are in turn supported by: i) a Kalman-like estimator for both unknown time-delays and noisy states and ii) a custom dynamical set of mathematical statistics associated with the underlying random cost of the chi-squared type. © 2013 AACC American Automatic Control Council.
Publication Date
1-1-2013
Publication Title
Proceedings of the American Control Conference
Number of Pages
5092-5097
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/acc.2013.6580629
Copyright Status
Unknown
Socpus ID
84883518980 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84883518980
STARS Citation
Pham, Khanh D. and Xu, Yunjun, "Understanding Disturbance Attenuation Problems With Unknown Input Time-Delays: A Game-Theoretic Approach With Performance Risk Aversion" (2013). Scopus Export 2010-2014. 7719.
https://stars.library.ucf.edu/scopus2010/7719