Internal models in control, bioengineering, and neuroscience
Cells respond to biochemical and physical internal as well as external signals. These signals can be broadly classified into two categories: (a) actionable'' or reference'' inputs that should elicit appropriate biological or physical responses such as gene expression or motility, and (b) disturbances'' or perturbations'' that should be ignored or actively filtered-out. These disturbances might be exogenous, such as binding of nonspecific ligands, or endogenous, such as variations in enzyme concentrations or gene copy numbers. In this context, the term robustness describes the capability to produce appropriate responses to reference inputs while at the same time being insensitive to disturbances. These two objectives often conflict with each other and require delicate design trade-offs. Indeed, natural biological systems use complicated and still poorly understood control strategies in order to finely balance the goals of responsiveness and robustness. A better understanding of such natural strategies remains an important scientific goal in itself and will play a role in the construction of synthetic circuits for therapeutic and biosensing applications. A prototype problem in robustly responding to inputs is that of robust tracking'', defined by the requirement that some designated internal quantity (for example, the level of expression of a reporter protein) should faithfully more »
Authors:
; ; ; ; ;
Award ID(s):
Publication Date:
NSF-PAR ID:
10387640
Journal Name:
Annual review of control robotics and autonomous systems
Volume:
5
Issue:
20
Page Range or eLocation-ID:
20.1-20.25
ISSN:
2573-5144