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Risk-Averse Control Problems in Model-Following Systems

  • Khanh D. Pham
Chapter
  • 915 Downloads
Part of the SpringerBriefs in Optimization book series (BRIEFSOPTI)

Abstract

This chapter considers performance information in a linear-quadratic class of model-following control systems. The innovative idea is the fact that performance information with higher-order performance-measure statistics can improve control decisions for closed-loop system performance reliability but the controller design can also be computationally involved. Many of the results entail measures of the amount, value, and cost of performance information, and the design of model-following control strategy with risk aversion. It becomes clear that the topic of performance information in control is of central importance for future research and development of correct-by-design of high performance and reliable systems.

Keywords

Risk Aversion Feedback Gain Performance Information Cost Cumulants Admissible Initial Condition 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Khanh D. Pham 2013

Authors and Affiliations

  • Khanh D. Pham
    • 1
  1. 1.The Air Force Research LaboratorySpace Vehicles DirectorateKirtland Air Force BaseUSA

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