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Found 9 papers, 1 papers with code
On the constrained feedback linearization control based on the MILP representation of a ReLU-ANN
In this work, we explore the efficacy of rectified linear unit artificial neural networks in addressing the intricate challenges of convoluted constraints arising from feedback linearization mapping.
ANN-Based Adaptive NMPC for Uranium Extraction-Scrubbing Operation in Spent Nuclear Fuel Treatment Process
This paper addresses the particularities in optimal control of the uranium extraction-scrubbing operation in the PUREX process.
PSO-Based Adaptive NMPC for Uranium Extraction-Scrubbing Operation in Spent Nuclear Fuel Treatment Process
This paper addresses the particularities of adaptive optimal control of the uranium extraction-scrubbing operation in the PUREX process.
Nonlinear Model Predictive Control for Uranium Extraction-Scrubbing Operation in Spent Nuclear Fuel Treatment Process
This paper addresses the particularities of the uranium extraction-scrubbing operation in a spent nuclear fuel treatment process (PUREX-Plutonium Uranium Refining by Extraction) through the use of set-point tracking MPC (Model Predictive Control).
Experimental validation of an explicit flatness-based MPC design for quadcopter position tracking
Due to the nonlinearities and operational constraints typical to quadcopter missions, Model Predictive Control (MPC) encounters the major challenge of high computational power necessary for the online implementation.
Enhancements on a saturated control for stabilizing a quadcopter: adaptive and robustness analysis in the flat output space
This paper extends our previous study on an explicit saturated control for a quadcopter, which ensures both constraint satisfaction and stability thanks to the linear representation of the system in the flat output space.
Passivity-based economic ports for optimal operation of networked DC microgrids
This interconnection scheme requires only an exchange of the local prices and allows a globally economic optimal operation of networked microgrids at steady state, while guaranteeing asymptotic stability of the networked microgrids via the passivity properties of economic ports.
On MPC-based Strategies for Optimal Voltage References in DC Microgrids
Modern power systems are characterized by low inertia and fast voltage dynamics due to the increase of sources connecting via power electronics and the removal of large traditional thermal generators.
Indoor experimental validation of MPC-based trajectory tracking for a quadcopter via a flat mapping approach
Consequently, a receding horizon problem (linear in the flat output space) is easily solved and, via the inverse flat mapping, provides a feasible input to the original, nonlinear, dynamics.
