Abstract
This chapter presents the theoretical background for several enhancements of the worst-case parameter search based clearance of flight control laws. The worst case search method aims to find combinations of parameters and flight conditions for which the clearance criteria are mostly violated or poorly satisfied. The two main aspects for the proposed enhancements are: (1) increasing the reliability of clearance by the application of global optimization methods in conjunction with established simulation and analysis tools; and (2) increasing the efficiency of clearance by applying parallel computation techniques. These enhancements are illustrated in Chapter 13 by the application of the selected optimization methods and parallelization techniques to several challenging clearance criteria.
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Joos, HD. (2012). Worst-Case Parameter Search Based Clearance Using Parallel Nonlinear Programming Methods. In: Varga, A., Hansson, A., Puyou, G. (eds) Optimization Based Clearance of Flight Control Laws. Lecture Notes in Control and Information Sciences, vol 416. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22627-4_8
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DOI: https://doi.org/10.1007/978-3-642-22627-4_8
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