2004
DOI: 10.1109/tac.2004.832660
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Robust Observer-Based Control of Systems With State Perturbations Via LMI Approach

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Cited by 214 publications
(138 citation statements)
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“…The uncertainties have been widely used in many practical systems. The matrices 1 ( ) F t and 2 ( ) F t contain uncertain parameters, and constant matrices i D and i E ( 1, 2 i ) denote how the uncertain parameters 1 ( ) F t and 2 ( ) F t affect the system (1) and (2) [11,12].…”
Section: Remarkmentioning
confidence: 99%
“…The uncertainties have been widely used in many practical systems. The matrices 1 ( ) F t and 2 ( ) F t contain uncertain parameters, and constant matrices i D and i E ( 1, 2 i ) denote how the uncertain parameters 1 ( ) F t and 2 ( ) F t affect the system (1) and (2) [11,12].…”
Section: Remarkmentioning
confidence: 99%
“…The observer-based control will be used to reconstruct the state of a dynamic system. The observer was developed firstly for deterministic continuoustime linear time-invariant system and has been extended by several researchers to timevaring, discrete and stochastic systems [1], [2], [7], [12], [13], [14], [15], [16], [17], [18] and [19]. The simplicity of its design and its resolution of the difficulty imposed by missing measurements make the observer an attractive general design component.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, many work has been devoted to design the observer or observer-based control of uncertain system [3], [8], [10], [11] and [12]. In [2] and [7] the lyapunov stability theory is used to design the state observer for linear time varying or nonlinear systems.…”
Section: Introductionmentioning
confidence: 99%
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“…Employing a dynamic model representation of the plant, it is possible to implement techniques used in robust control, such as linear matrix inequalities (LMI) [1,2] or sliding-mode control (SMC) [3] to estimate the values of the states.…”
Section: Introductionmentioning
confidence: 99%