ASIA uses an LLM-based coding agent to autonomously perform system identification, tested empirically on two benchmarks while noting limitations in transparency and reproducibility.
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A myopic MINMPC framework learns a value function offline via inverse optimization from expert data, allowing short horizons with near-optimal performance and strict integer feasibility online for hybrid systems.
The impact-aware MPC reduces post-impact deflection by 86.2% in experiments by predicting discontinuous velocities with an embedded restitution model.
PRF-MPC guarantees recursive feasibility with a user-specified probability by enforcing distributional consistency in predictors and probabilistic containment of safe sets across future time steps.
A synthesis method for piecewise quadratic terminal costs and configuration-constrained polytopic terminal regions in linear MPC that match the infinite-horizon LQR cost near the origin.
A novel DAE model of the cement pyro process is linearized and simulated to select control pairings via RGA and tune decentralized PI controllers via IMC, producing smoother closed-loop responses than manual tuning.
citing papers explorer
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ASIA: an Autonomous System Identification Agent
ASIA uses an LLM-based coding agent to autonomously perform system identification, tested empirically on two benchmarks while noting limitations in transparency and reproducibility.
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Learning myopic mixed-integer nonlinear model predictive control from expert demonstrations
A myopic MINMPC framework learns a value function offline via inverse optimization from expert data, allowing short horizons with near-optimal performance and strict integer feasibility online for hybrid systems.
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Impact-Aware Model Predictive Control for UAV Landing on a Heaving Platform
The impact-aware MPC reduces post-impact deflection by 86.2% in experiments by predicting discontinuous velocities with an embedded restitution model.
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Probabilistic Recursively Feasible Motion Planning Under Uncertain Environments
PRF-MPC guarantees recursive feasibility with a user-specified probability by enforcing distributional consistency in predictors and probabilistic containment of safe sets across future time steps.
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On Piecewise Quadratic Terminal Costs for MPC
A synthesis method for piecewise quadratic terminal costs and configuration-constrained polytopic terminal regions in linear MPC that match the infinite-horizon LQR cost near the origin.
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A simulation- and model-based approach to PI control pairing and tuning for the pyro process in a cement plant
A novel DAE model of the cement pyro process is linearized and simulated to select control pairings via RGA and tune decentralized PI controllers via IMC, producing smoother closed-loop responses than manual tuning.