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Title: Coordinating Multiple Model Predictive Controllers for Large-scale systems
Keywords: Model Predictive Control, Coordinated MPC, Minimum Information Exchange, Multi-Reservoir Management, Genetic Algorithm, Interaction Analysis
Issue Date: 16-Jan-2014
Citation: ABHAY ANAND (2014-01-16). Coordinating Multiple Model Predictive Controllers for Large-scale systems. ScholarBank@NUS Repository.
Abstract: Large-scale systems are formed by the interconnection of several subsystems and are characterized by significant spatial and temporal heterogeneity. The optimal management of such systems must generally deal not only with issues related to large dimensionality and strong nonlinearity, but also with the presence of several interactions between the subsystems, that have a significant influence on the local control decisions and the overall system optimality. For such large-scale systems, Model Predictive Control (MPC) is an attractive control strategy and it has been shown that, to achieve a flexible and reliable control structure with optimum overall system performance, individual decentralized controllers have to be coordinated and driven towards the performance of a centralized controller. The aim of this research is to develop a robust MPC coordinator that can efficiently control large-scale systems with minimum information exchange between the controllers to ensure practical applicability.
Appears in Collections:Ph.D Theses (Open)

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