ABSTRACT Steering a system towards a desired target in a very short amount of time is a challenging task from a computational standpoint. Indeed, the intrinsically iterative nature of optimal control problems requires multiple simulations of the state of the physical system to be controlled. Moreover, the control action needs to be updated whenever the
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Development and implementation of a model predictive control system for a solar parabolic trough plant influenced by an advanced meteorological disturbance model. [PDF]
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Model Predictive Control on the Neural Manifold. [PDF]
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Physics-informed displacement control for variable pattern printing with V-shaped PDMS stamps in roll-to-roll microcontact printing. [PDF]
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Custom UAV with model predictive control for autonomous static and dynamic trajectory tracking in agricultural fields. [PDF]
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