2018 IEEE Conference on Decision and Control (CDC) 2018
DOI: 10.1109/cdc.2018.8619624
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Internal Models in Control, Biology and Neuroscience

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Cited by 29 publications
(29 citation statements)
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“…[30]). We conclude that the eigenvactors satisfy (12). Note that since A is also symmetric, the u i s are orthogonal, so u i ||u i || , i = 1, .…”
Section: Oscillatory Matricesmentioning
confidence: 69%
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“…[30]). We conclude that the eigenvactors satisfy (12). Note that since A is also symmetric, the u i s are orthogonal, so u i ||u i || , i = 1, .…”
Section: Oscillatory Matricesmentioning
confidence: 69%
“…the eigenvectors of an oscillatory matrix can be used to provide an explicit representation of a subspace W(k 1 , k 2 ) such that W(k 1 , k 2 ) \ {0} ⊆ P (k 1 , k 2 ). Note that (12) implies in particular that…”
Section: Oscillatory Matricesmentioning
confidence: 99%
See 1 more Smart Citation
“…To achieve perfect adaptation, the adaptation loop must therefore include an oscillator capable of producing a signal having the same frequency as the external disturbance, an assertion supported by the Internal Model Principle ( 37 , 43 ). Remarkably, the idea of an internal model has been invoked also for MdDS and firstly mentioned by Hain and Helminski ( 44 ).…”
Section: The Hypothesismentioning
confidence: 99%
“…The "internal model principle" in control theory states, in essence, that the existence of an integrator in the control loop is necessary for the tight regulation of the concentration of an output species in the presence of disturbances or stimuli. 12 Inspired by these ideas from engineering and control theory, there have been several recent designs [13][14][15][16] and implementations [17][18] of biomolecular integral feedback controllers. These implementations are not completely satisfactory in that it is very difficult to make quantitative predictive models of their behaviors, in large part due to the biological noise which is found in cellular systems, which makes it hard to achieve precise control over model parameters, thereby complicating the design and feasibility of the system.…”
Section: Introductionmentioning
confidence: 99%