This chapter gives an overview of results on finding algebraic
conditions that allow one to simplify decentralized control
problems. It summarizes several of the main results without giving
any proofs, and could be a good first stop for those with a new
interest in the topic. Much of it focuses on quadratic invariance,
the condition which allows the optimal linear decentralized control
problem to be recast as a convex optimization problem,
including the results that one gets when applying quadratic
invariance to control over networks. It also discusses a
condition that allows for a similar parameterization of stabilizing
nonlinear controllers, as well as results on how the optimal control
problem can be transformed when these conditions do not hold.
This edition of the Handbook was released in a
3-volume set, with this chapter appearing in the volume on Control
System Advanced Methods.