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Amir Hossein Abolmasoumi,Saleh S. Delshad 제어로봇시스템학회 2012 제어로봇시스템학회 국제학술대회 논문집 Vol.2012 No.10
The problem of full-order observer design for a class of delayed nonlinear systems with unknown inputs and Markovian jumping parameters is considered. The design method is formulated as solving a set of linear matrix inequalities (LMI’s). Extending the results of nonlinear observer design to Markovian jump systems with time-varying delays is the main advantages of this paper. The sufficient LMI conditions are dependent on both the upper and lower bounds of delay. The effectiveness of the proposed method is shown via an illustrative example.
Robust Observer-based H_∞ Control of a Markovian Jump System with Different Delay and System Modes
Amir Hossein Abolmasoumi,Hamid Reza Momeni 제어·로봇·시스템학회 2011 International Journal of Control, Automation, and Vol.9 No.4
This paper investigates the problem of robust observer-based stabilization for a delayed Markovian jump system. The sources of randomness in the system mode and the delay mode are assumed to be different. To this end, two different Markov processes are considered for modeling the randomness of the system matrices and the state delay. A two mode-dependent Lyapunov-Krasovskii functional is used to design a robust observer based feedback control rule for the stochastic stability of the closed-loop system. The rule4 should also satisfy the condition of disturbance reduction at a prescribed level in the presence of parametric uncertainties. The procedure is implemented by solving linear matrix inequalities (LMIs). The results are tested within a simulation example and the effectiveness of the proposed design method is verified.