When designing a distributed control system, the system designer has a choice in how to connect the different units through communication channels. In practice, noiseless and noisy channels may coexist. Using the standard toy example of scalar stabilization, this paper shows how a small amount of noiseless feedback can perform a “supervisory” role and thereby boost the effectiveness of noisy fe...

We plunge decentralized control problems into modular ones to benefit from the know-how of modular control theory: any decentralized control problem is associated to a natural modular control problem, which over-approximates it. Then, we discuss how a solution of the latter problem delivers a solution of the former.

In this paper a knowledge based assembly control system for automobile manufactur ing is presented which has been implemented for the B M W manufac tu r ing facilit ies i n M u n i c h . The system is fu l ly integrated in the process control system. Its main purpose is to support the assembly supervisor in taking appropriate corrective actions in case of abnormal process condit ions. The disti...

Motivated by three applications which are under investigation at the Honeywell Research Laboratory in Minneapolis, we introduce a class of large scale control problems. In particular we show that a formation flight problem, a paper machine control problem and the coordination of cameras in a monitoring network can be cast into this class. In the second part of the paper we propose a decentraliz...

We characterize the approximate controllability of first-order and second-order linear abstract control systems in terms of quasianalytic vectors. c © 2007 Elsevier Ltd. All rights reserved.

This work develops a distributed fast-frequency control framework for application in self-consuming energy communities. We propose consensus optimization of inertia coefficients based on the individual resource constraints grid-friendly resources (ders), which relies presence peer-to-peer communication infrastructure. In proposed strategy, ders are optimally tuned real-time by faster loop to im...