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This paper presents a novel estimation problem of Markovian jump linear systems (MJLSs) with generalized unknown disturbances (GUDs) in measurements. In these systems, there exist multiple uncertainties such as Markovian switching parameters, the GUD and system noises. Here, the multi-mode complexity in original system is transformed into the randomness of parameters in new system by geometric augmentation...
This paper investigates the semi global practical stabilization problem of a class of nonlinear systems with parametric uncertainty. In particular, for uncertain systems presenting a cascade structure where the zero-input dynamics of the deriving system is linear, the paper presents a feedback control law and conditions ensuring semi global practical stability, assuming that the ncertainty is bounded...
Irreversible investments with largest outlay made with incomplete information are the mainstay of the oilfield development. Real Options Analysis (ROA) is a useful tool for making investment decisions under market uncertainty. Normal information generates continuous mean-reverting process for oil prices, whereas random abnormal information generates discrete jumps of random size. We evaluate an oilfield...
The oilfield development is a high-risk venture and requires the largest outlay which is not Irreversible. This paper proposes a new model, based on Real Option Pricing with Mean-Reverting jump, to find an optimal decision rule for alternatives of investment regarding the development of an oil field under market uncertainty. The objective of this new model is to help decision-making in the following...
A model set identification approach is presented for Hinfin robust control design of Hydraulic Flight Motion Simulator servo system, which suffers from various uncertainties, such as parameter uncertainty, high frequency unmodelled dynamic uncertainty, and so on. The identification approach consists of two steps. To be exact, the first step is nominal model parameter identification, and then model...
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