Cooperative Distributed Model Predictive Control

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The Industrial Internet of Things (IIoT) offers new opportunities for process operators to improve efficiencies, the development of open, secure, and interoperable systems architectures is key to delivering that potential. Cooperative Distributed Model Predictive Control is a technology being developed by Spiro Control designed to manage dispersed systems, and can stabilize and optimize a process having many manipulated and controlled variables in the face of disturbances. Rather than using a single, centralized solution, multiple control agents are used in a distributed design. These control agents operate in a cooperative manner to achieve a shared objective function which approaches the global optimum even when significant interactions are present. The technology has the potential to harness the power of IIoT connectivity to deliver robust system wide control with significant operational benefits. Additionally, it has the advantage of a simple, modular design and utilizes existing control standards and infrastructure. In addition to optimisation benefits, advantages include scalability of the solution, and improved resilience and reduced complexity over centralised optimisation. The focus of our project is further development and commercialisation of this technology.