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Complexity Reduction of Model Predictive Control


P. Grieder

Massachusetts Institute of Technology (MIT)

Optimal control of dynamical systems with constraints on the states and inputs has garnered a lot of attention in research. This talk will focus on the possibilities and limits of Model Predictive Control (MPC) and Receding Horizon Control (RHC). Specifically, the following issues will be addressed: 1. Explicit Optimal Control 2. Receding Horizon Control (RHC) 3. Reducing Complexity of RHC 4. Future Research


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