Improved modeling and robust control of multi-delay systems

What is it about?

Distributing control across a network introduces multiple delay and requires a sampled-data approach. This paper significantly reduces the size of the model required for including multiple delays. It also provides theories to bound the amount of uncertainty in the continuous-time system, even though the control is discrete-time.

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Why is it important?

Distributed control is becoming increasingly important in several different industries as electronics are becoming cheaper and communication can be handled through networking. Networking distributed control systems has several advantages, but introduces an independent delay for each feedback path. This paper address the main concerns about making a robust control architecture under this constraint.