Synthesis of robust control systems for a hypersonic aircraft

Christopher I. Marrison, Robert F. Stengel

Research output: Contribution to journalConference articlepeer-review

9 Scopus citations


Stochastic Robustness Analysis is a flexible probabilistic framework for defining the robustness of control systems. Here, robust linear-quadratic-regulators are synthesized to control the nonlinear longitudinal dynamics of a hypersonic aircraft with uncertainties in 28 parameters. The compensators are designed using a genetic algorithm to search a design parameter space and Monte Carlo evaluation to define the robustness cost surface. The method is shown to produce control structures that satisfy nominal stability and performance goals, while minimizing robustness cost functions.

Original languageEnglish (US)
Pages (from-to)3324-3329
Number of pages6
JournalProceedings of the IEEE Conference on Decision and Control
StatePublished - 1994
EventProceedings of the 33rd IEEE Conference on Decision and Control. Part 1 (of 4) - Lake Buena Vista, FL, USA
Duration: Dec 14 1994Dec 16 1994

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization


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