From mobile phones and banking systems to aircraft, ships and emergency services, much of modern life relies on precise ...
Abstract: Many distributed optimization algorithms critically depend on careful step-size tuning to ensure stability and achieve fast convergence. In this work, we address this limitation in the ...
Abstract: This work proposes a Dimension-Reduced Koopman Model Predictive Control (Dr-KMPC) framework for discrete-time nonlinear systems. The main challenges in existing Koopman-based control ...
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