Piecewise Linear Control Systems
Piecewise Linear Control Systems
Reconstruction of switching thresholds in piecewise-affine models of genetic regulatory networks
HSCC'06 Proceedings of the 9th international conference on Hybrid Systems: computation and control
HSCC'05 Proceedings of the 8th international conference on Hybrid Systems: computation and control
A control problem for affine dynamical systems on a full-dimensional polytope
Automatica (Journal of IFAC)
Analysis and synthesis of switched linear control systems
Automatica (Journal of IFAC)
Limit cycles in piecewise-affine gene network models with multiple interaction loops
International Journal of Systems Science - Dynamics Analysis of Gene Regulatory Networks
Brief paper: On a reachability problem for affine hypersurface systems on polytopes
Automatica (Journal of IFAC)
Exact control of genetic networks in a qualitative framework: The bistable switch example
Automatica (Journal of IFAC)
| Hi-index | 22.15 |
This article introduces results on the control of gene networks, in the context of piecewise-affine models. We propose an extension of this well-documented class of models, where some input variables can affect the main terms of the equations, with a special focus on the case of affine dependence on inputs. Some generic control problems are proposed, which are qualitative, respecting the coarse-grained nature of piecewise-affine models. Piecewise constant feedback laws that solve these control problems are characterized in terms of affine inequalities, and can even be computed explicitly for a subclass of inputs. The latter is characterized by the condition that each state variable of the system is affected by at most one input variable. These general feedback laws are then applied to a two-dimensional example, consisting in two genes inhibiting each other. This example has been observed in real biological systems, and is known to present a bistable switch for some parameter values. Here, the parameters can be controlled, allowing to express feedback laws leading to various behaviours of this system, including bi-stability as well as situations involving a unique global equilibrium.