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

What are Complex Adaptive Systems?

What are Complex Adaptive Systems?

" Requisite Variety: The greater the variety within the system the stronger it is. In fact ambiguity and paradox abound in complex adaptive systems which use contradictions to create new possibilities to co-evolve with their environment. Democracy is a good example in that its strength is derived from its tolerance and even insistence in a variety of political perspectives."