Controller design distributed model-based

The outline of this paper is as follows. First, a theoretical model of unsteady motions in a combustion chamber with feedback control is constructed. The formulation is based on a generalized wave equation which accommodates all influences of acoustic wave motions and combustion responses. Control actions are achieved by injecting secondary fuel into the chamber, with its instantaneous mass flow rate determined by a robust controller. Physically, the reaction of the injected fuel with the primary combustion flow produces a modulated distribution of external forcing to the oscillatory flowfield, and it can be modeled conveniently by an assembly of point actuators. After a procedure equivalent to the Galerkin method, the governing wave equation reduces to a system of ordinary differential equations with time-delayed inputs for the amplitude of each acoustic mode, serving as the basis for the controller design. 

The Use of Artificial Intelligence in Distributed Control Model Based Reasoning Approach to Chemical Plant Design Use of Expert Systems in Nuclear Power Plants Application of AI to Management and Analysis Problems... 

Yasuda, G., 2011. Model Based Design and Implementation of Hierarchical and Distributed Control for Robotic Flexible Manufacturing Cells using Petri Nets, Adv Mats Res, vol 211-212. pp. 856-860. 

This is an abstract model of the state of the whole System, and says nothing about its construction — whether it is distributed or centralised, whether the links are database keys or pointers, whether the types can be found in the implementation as individual classes. These matters are all left to the design phase a distributed object implementation, or a server-based one with remote screen-control clients would both be equally valid choices. 

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