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Found 7 papers, 0 papers with code
Model Predictive Control Design for Unlocking the Energy Flexibility of Heat Pump and Thermal Energy Storage Systems
Firstly, for flexibility assessment, a tailored MPC formulation, supplemented by a set of auxiliary linear constraints, is developed to quantitatively assess the flexibility potential inherent in HPTES systems.
Robust Optimal Control With Binary Adjustable Uncertainties
Robust Optimal Control (ROC) with adjustable uncertainties has proven to be effective in addressing critical challenges within modern energy networks, especially the reserve and provision problem.
Unlocking Energy Flexibility From Thermal Inertia of Buildings: A Robust Optimization Approach
In a first step, a robust optimization model is formulated for assessing the energy flexibility of buildings in the presence of uncertain predictions of external conditions, such as ambient temperature, solar irradiation, etc.
Mitigating Motion Sickness with Optimization-based Motion Planning
The results demonstrate considerable potential for improving motion comfort and mitigating motion sickness using our approach in automated vehicles.
Reconfiguration of a satellite constellation in circular formation orbit with decentralized model predictive control
In this context, we consider the problem of reconfiguration of a satellite constellation in a circular formation.
A Feedback Scheme to Reorder a Multi-Agent Execution Schedule by Persistently Optimizing a Switchable Action Dependency Graph
A common mitigation approach is to re-solve the MAPF using the current, delayed AGV positions.
Fast Gradient-Based Methods with Exponential Rate: A Hybrid Control Framework
Ordinary differential equations, and in general a dynamical system viewpoint, have seen a resurgence of interest in developing fast optimization methods, mainly thanks to the availability of well-established analysis tools.
