Inverse Parametric Optimization in a Set-Membership Error-in-Variables Framework

In this study, we aim to recover the interval hull of the set of feasible cost functions that can make uncertain observations optimal for a class of nonlinear constrained parametric optimization problems when all uncertainty and disturbances acting on observations or modeling are taken bounded but o...

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Veröffentlicht in:	IEEE transactions on automatic control 2017-12, Vol.62 (12), p.6536-6543
Hauptverfasser:	Panchea, Adina M., Ramdani, Nacim
Format:	Artikel
Sprache:	eng
Schlagworte:	Automatic Constraint satisfaction problem (CSP) Engineering Sciences error-in-variables (EIVs) interval analysis inverse optimal control (IOC) inverse optimization Linear programming Noise measurement Optimal control Optimization Trajectory Uncertainty
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