New approach can control large complex networks, from cells to power grids

New approach can control large complex networks, from cells to power grids

A breakthrough in the newly developed control approach is the development of a computational method that identifies small perturbations, which, after propagating through the network, will bring the system to the desired final state. In the parlance of dynamical systems theory, the authors exploit what are known as "basins of attraction"—sets of network states that eventually will converge to a given stable state (or "attractor") of the system.

Read more at: http://phys.org/news/2013-06-approach-large-complex-networks-cells.html#jCp

A breakthrough in the newly developed control approach is the development of a computational method that identifies small perturbations, which, after propagating through the network, will bring the system to the desired final state. In the parlance of dynamical systems theory, the authors exploit what are known as "basins of attraction"—sets of network states that eventually will converge to a given stable state (or "attractor") of the system.

Read more at: http://phys.org/news/2013-06-approach-large-complex-networks-cells.html#jCp

A breakthrough in the newly developed control approach is the development of a computational method that identifies small perturbations, which, after propagating through the network, will bring the system to the desired final state. In the parlance of dynamical systems theory, the authors exploit what are known as "basins of attraction"—sets of network states that eventually will converge to a given stable state (or "attractor") of the system.

Read more at: http://phys.org/news/2013-06-approach-large-complex-networks-cells.html#jCp

A breakthrough in the newly developed control approach is the development of a computational method that identifies small perturbations, which, after propagating through the network, will bring the system to the desired final state. In the parlance of dynamical systems theory, the authors exploit what are known as "basins of attraction"—sets of network states that eventually will converge to a given stable state (or "attractor") of the system.

Read more at: http://phys.org/news/2013-06-approach-large-complex-networks-cells.html#jCp

A breakthrough in the newly developed control approach is the development of a computational method that identifies small perturbations, which, after propagating through the network, will bring the system to the desired final state. In the parlance of dynamical systems theory, the authors exploit what are known as "basins of attraction"—sets of network states that eventually will converge to a given stable state (or "attractor") of the system.

Read more at: http://phys.org/news/2013-06-approach-large-complex-networks-cells.html#jCp

A breakthrough in the newly developed control approach is the development of a computational method that identifies small perturbations, which, after propagating through the network, will bring the system to the desired final state. In the parlance of dynamical systems theory, the authors exploit what are known as "basins of attraction"—sets of network states that eventually will converge to a given stable state (or "attractor") of the system.

Read more at: http://phys.org/news/2013-06-approach-large-complex-networks-cells.html#jCp

A breakthrough in the newly developed control approach is the development of a computational method that identifies small perturbations, which, after propagating through the network, will bring the system to the desired final state. In the parlance of dynamical systems theory, the authors exploit what are known as "basins of attraction"—sets of network states that eventually will converge to a given stable state (or "attractor") of the system.

Read more at: http://phys.org/news/2013-06-approach-large-complex-networks-cells.html#jCp