model predictive control
PulseAugur coverage of model predictive control — every cluster mentioning model predictive control across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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New framework enhances explainability for critical control systems
Researchers have developed a new framework called Hierarchical Causal Abduction (HCA) to make Model Predictive Control (MPC) systems more understandable. HCA combines physics-informed reasoning, optimization evidence fr…
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New framework tackles trajectory planning under agent uncertainty
Researchers have developed a new framework for interactive trajectory planning that accounts for uncertainty in the decisions of other agents. This approach combines Probably Approximately Correct (PAC) learning with Di…
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Researchers optimize building energy costs using Bayesian optimization for MPC controllers
Researchers have developed a method to automatically tune Model Predictive Control (MPC) systems for minimizing electricity costs in buildings. By employing Constrained Bayesian Optimization (CONFIG), the system signifi…
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Model Predictive Control shows budgeting gains with predictable returns
Researchers have developed a Model Predictive Control (MPC) approach for budget allocation in scenarios with non-stationary returns. Their study, motivated by digital marketing, found that MPC only outperforms reactive …
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Researchers develop learned policies for ADMM to improve optimization performance
Researchers have developed a method to learn online updates for the relaxation parameter in the Alternating Direction Method of Multipliers (ADMM). This approach aims to improve the performance of ADMM, a technique used…
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Tutorial details building lightweight embodied AI agent from pixel observations
A new tutorial demonstrates the creation of a lightweight embodied AI agent capable of learning to perceive, plan, and adapt its actions directly from visual input. The agent utilizes a grid-world simulation and model p…
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RL-MPC hybrid optimizes wind farm power generation
Researchers have developed a novel hierarchical control system for wind farms that integrates reinforcement learning (RL) with model predictive control (MPC). This hybrid approach uses an RL agent to provide state estim…
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Researchers propose model predictive control for hybrid dynamical systems
Researchers have developed a novel Model Predictive Control (MPC) algorithm specifically designed for hybrid dynamical systems. This new approach formulates control strategies using a combination of differential and dif…