Abstract
Distributed control is a computationally efficient and high performance approach for plantwide process systems, where the interactions between process units can be dealt with using the information exchanged among controllers. In this work we develop an approach to analyze distributed control systems where the controllers communicate at a rate lower than the sampling rate for the local process units. This is motivated by the observation that many chemical processes have plant-wide dynamics on a time-scale slower than that of the individual processes’ dynamics. Based on the dissipative systems theory, this approach can be used to determine the impact of the reduced communication rate on the stability and control performance of the plant-wide system.
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