Decentralized Control of Complex Systems (Enhanced Edition‪)‬

In the mathematical modeling of physical systems, one is invariably confronted
with a dilemma: to use a more accurate model which is harder
to manage, or to work with a simpler model which is easier to manipulate
but with less confidence. A hierarchy of models with increasing complexity
and fidelity is more often than not the best approach. When the number
of variables is large, it is prudent, if not imperative, to start the analysis
with simple structural models that offer relatively easy ways to identify
unsuitable system configurations, causes for lack of desired properties, and
straightforward remedies.