Abstract
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.
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Ho, Y. (2019). Model Predictive Controller using Interior Point and Ant Algorithm. In: Patient-Specific Controller for an Implantable Artificial Pancreas. Springer Theses. Springer, Singapore. https://doi.org/10.1007/978-981-13-2402-4_5
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DOI: https://doi.org/10.1007/978-981-13-2402-4_5
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