Model Predictive Controller using Interior Point and Ant Algorithm

Part of the Springer Theses book series (Springer Theses)


This chapter presents an adaption of the Ant System for implementing the optimization routine of the Model Predictive Controller. A hybrid optimization scheme for Model Predictive Control (MPC) is also proposed, comprising both Primal-Dual Interior-Point (PDIP) method used in [1] and the search heuristic based Ant System optimization methods developed in this chapter.


Model Predictive Control (MPC) Primal-Dual Interior-Point (PDIP) Hybrid Optimization Strategy Insulin Infusion Rate PDIP Method 
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© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Department of Mechanical EngineeringNational University of SingaporeSingaporeSingapore

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