Robust LMI stability, stabilization and H∞ control for premium pricing models with uncertainties into a stochastic discrete-time framework
Athanasios A. Pantelous and
Lin Yang
Insurance: Mathematics and Economics, 2014, vol. 59, issue C, 133-143
Abstract:
The premium pricing process and the reserve stability under uncertainty are very challenging issues in the insurance industry. In practice, a premium which is sufficient enough to cover the expected claims and to keep stable the derived reserves is always required. This paper proposes a premium pricing model for General (Non-Life) Insurance products, which implements a negative feedback mechanism for the known reserves with time-varying, bounded delays. The model is developed into a stochastic, discrete-time framework and norm-bounded parameter uncertainties have been also incorporated. Thus, the stability, the stabilization and the robust H∞ control for the reserve process are investigated using Linear Matrix Inequality (LMI) criteria. For the robust H∞ control, attention will be focused on the design of a state feedback controller such that the resulting closed-loop system is robustly stochastically stable with disturbance attenuation level γ>0. Numerical examples and figures illustrate the main findings of the paper.
Keywords: Premium pricing; Stochastic discrete-time systems; Admissible uncertainties; Time-varying delays; Robust stabilization; Robust H∞ control; Linear Matrix Inequality (LMI) (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:eee:insuma:v:59:y:2014:i:c:p:133-143
DOI: 10.1016/j.insmatheco.2014.09.005
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