2013
DOI: 10.1109/tie.2012.2227910
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Networked Control With State Reset and Quantized Measurements: Observer-Based Case

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Cited by 152 publications
(58 citation statements)
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“…Remark 2: The observer-based dynamic output feedback control is an important issue in control field to solve the problem of system states unavailable for measurement, and for various non-switched nonlinear systems, many related significant results have been reported, such as [21][22][23][24]. However, for switched nonlinear systems with uncontrollable switching laws, the observer-based dynamic output feedback control problem is far from studied due to difficulty in seeking a common dynamic controller.…”
Section: Problem Formulation and Preliminariesmentioning
confidence: 99%
See 1 more Smart Citation
“…Remark 2: The observer-based dynamic output feedback control is an important issue in control field to solve the problem of system states unavailable for measurement, and for various non-switched nonlinear systems, many related significant results have been reported, such as [21][22][23][24]. However, for switched nonlinear systems with uncontrollable switching laws, the observer-based dynamic output feedback control problem is far from studied due to difficulty in seeking a common dynamic controller.…”
Section: Problem Formulation and Preliminariesmentioning
confidence: 99%
“…Moreover, all signals , xˆ, xˆ, φ u are SGUUB by virtue of the relationships (6), (14), (15), (19), (22), (23) and the choices of the virtual control law…”
Section: Observer-based Fuzzy Errors Switched Systemsmentioning
confidence: 99%
“…However, as multi-agent systems usually operate under uncertain environments, the reference model based containment control over randomly switching topologies [20][21][22][23] has been selected for further developments. The containment with quantized measurements [24] will also be studied.…”
Section: Containment Control Under the Distributed Reference Model Bamentioning
confidence: 99%
“…Moreover, an asynchronous filter for discrete-time stochastic Markov jump systems with randomly occurring sensor nonlinearity is designed with a guaranteed l 2 -l ∞ performance index in [30]. See also [31][32][33] for more related publications.…”
Section: Introductionmentioning
confidence: 99%