Proceedings of 2014 Mediterranean Microwave Symposium (MMS2014) 2014
DOI: 10.1109/mms.2014.7088946
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Synchronization between a new chaotic system and Rössler system by a high gain observer

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Cited by 2 publications
(3 citation statements)
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“…In general, it is clear that one cannot use as many sensors as signals of interest characterizing the system behavior for technological constraints, cost reasons, and so on, especially since such signals can come in a quite large number, and they can be of various types: they typically include parameters, time-varying signals characterizing the system (state variables), and unmeasured external disturbances [9,3,20]. As we know, it is almost impossible to measure all the elements of the state vector in practice (e.g., the unknown state variables, fault signals, etc).…”
Section: High Gain Observer Designmentioning
confidence: 99%
See 1 more Smart Citation
“…In general, it is clear that one cannot use as many sensors as signals of interest characterizing the system behavior for technological constraints, cost reasons, and so on, especially since such signals can come in a quite large number, and they can be of various types: they typically include parameters, time-varying signals characterizing the system (state variables), and unmeasured external disturbances [9,3,20]. As we know, it is almost impossible to measure all the elements of the state vector in practice (e.g., the unknown state variables, fault signals, etc).…”
Section: High Gain Observer Designmentioning
confidence: 99%
“…Thus, to use the hyperchaotic system signal as the encrypted signal has more extensive application prospect [1][2][3][4]. In [5][6][7], the four-dimensional system, the six-dimensional system and their realizing circuits are given, which lays a foundation of the construction of the higher dimensional hyperchaotic system.…”
Section: Introductionmentioning
confidence: 99%
“…Firstly, we give necessary and sufficient conditions to establish whether the system (4) is observable. Now, consider the following assumptions [5]:…”
Section: Fig 1: Principle Of the Observermentioning
confidence: 99%