2013
DOI: 10.1016/j.jprocont.2013.09.021
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Stabilization of pure unstable delay systems by the mirror mapping technique

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Cited by 15 publications
(8 citation statements)
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“…It is necessary to investigate stability and limitations on performance imposed by RHP zeros and poles. Mirror-mapping technique provides a novel design tool in [16][17][18][19]. The basic principle is that the largest singular value curve of the mirror-mapping process is similar to one of the original unstable process.…”
Section: System Stabilization Processmentioning
confidence: 99%
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“…It is necessary to investigate stability and limitations on performance imposed by RHP zeros and poles. Mirror-mapping technique provides a novel design tool in [16][17][18][19]. The basic principle is that the largest singular value curve of the mirror-mapping process is similar to one of the original unstable process.…”
Section: System Stabilization Processmentioning
confidence: 99%
“…To control these mapped stable one, the same effectiveness could be achieved. In [17], robust control method was addressed for a class of pure unstable system with time delay by mirror-mapping technique. A general scheme was proposed in [18] for the high order unstable delay process with one or more positive poles, using the mirror mapping technique.…”
Section: Introductionmentioning
confidence: 99%
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“…There is the right half plane (RHP) pole at s = T 0 in Equation (5), hence the system is unstable. In Equation (6), G(s) is obtained with the mirror mapping technique proposed in reference [24][25][26][27].…”
Section: Problem Formulation and Controller Designmentioning
confidence: 99%
“…unstable FOPTD models) since it is well-known that the performance specifications obtained for a stable model cannot work for an unstable processes. Therefore, many methods have been developed for stabilizing unstable processes including the modified Ziegler-Nichols method [10], mirror mapping [11], truncated predictor feedback control [12], smith predictor based control [13], PID-based controllers [14][15][16][17][18], IMC method [19,20], optimization-based methods [21,22], synthesis method [23], sliding mode control [24,25], and the fuzzy-neural approach [26]. Most of the above methods have additional * Tel.…”
Section: Introductionmentioning
confidence: 99%