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Real-Time Optimization when the Plant and the Model have Different Inputs

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Real-Time Optimization when the Plant and the Model have Different Inputs

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Predicting in Uncertain Environments: Methods for Robust Machine Learning

Analysis of output modifier adaptation for real-time optimization

Maximum-likelihood estimation of kinetic parameters via the extent-based incremental approach

Distribution Network Restoration in a Multiagent Framework Using a Convex OPF Model

SCALAR: Simultaneous Calibration of 2-D Laser and Robot Kinematic Parameters Using Planarity and Distance Constraints

Accelerated and adaptive modifier-adaptation schemes for the real-time optimization of uncertain systems

Distributed Coupled Learning Over Adaptive Networks

Exact Convex Modeling of the Optimal Power Flow for the Operation and Planning of Active Distribution Networks with Energy Storage Systems

Distributed Modifier-Adaptation Schemes for the Real-Time Optimization of Interconnected Systems in the Presence of Structural Plant-Model Mismatch

Application of Real-Time Optimization Methods to Energy Systems in the Presence of Uncertainties and Disturbances