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LMS Solution

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Neural Network + Model Predictive Control for PMSM | MATLAB Simulation

zurl.co/qsBhr

🧠 AI + MPC integration for PMSM control
⚡ Ideal for EV drives & intelligent control research

#PMSM #NeuralNetwork #ModelPredictiveControl #MATLAB #MotorDrive

October 22, 2025 at 8:31 PM

IEEE Transactions on Robotics (T-RO)

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Authors present a unified #ModelPredictiveControl framework for #humanoid balance, integrating ankle, hip, and stepping strategies, with variable angular momentum weighting, optimized step timing, and an HQP whole-body controller.
ieeexplore.ieee.org/document/109...

#LeggedLocomotion

Experimental results are presented for the robot's response to external forces applied along both the negative x- and y-directions.

October 8, 2025 at 7:17 PM

GetNews.me

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Researchers blended reinforcement learning with a neural-network MPC, slashing computation time by >99% and cutting control cost 11–40% on a rotary inverted pendulum test. https://getnews.me/reinforcement-learning-accelerates-model-predictive-control/ #reinforcementlearning #modelpredictivecontrol

Reinforcement Learning Accelerates Model Predictive Control

October 7, 2025 at 12:39 PM

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Model predictive control (MPC) outperforms decentralized PI in simulated continuous‑disc filtration for pulp mills, delivering tighter tracking and lower overshoot. https://getnews.me/dynamic-modeling-and-control-of-continuous-disc-filters-in-pulp-mills/ #continuousdiscfilter #modelpredictivecontrol

Dynamic Modeling and Control of Continuous-Disc Filters in Pulp Mills

October 6, 2025 at 4:59 AM

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New MPC with Coverage Constraints improves weighted coverage path planning, achieving higher total rewards and fewer planning iterations than a naive MPC in simulations. https://getnews.me/model-predictive-control-boosts-weighted-coverage-path-planning/ #modelpredictivecontrol #weightedcoverage

Model Predictive Control Boosts Weighted Coverage Path Planning

October 3, 2025 at 6:48 AM

eshmunai.bsky.social

@eshmunai.bsky.social

Industrial control isn't about AI hype. It's about systems that work when models are wrong, sensors drift, and Murphy's Law applies.

#IndustrialAI #ReinforcementLearning #ModelPredictiveControl #ControlSystems #IndustrialAutomation #MachineLearning #SmartManufacturing

October 1, 2025 at 1:30 PM

eshmunai.bsky.social

@eshmunai.bsky.social

Hybrid Intelligence: 95-100% performance. Mathematically stable. Actually deployable. Combines data-driven learning with control theory stability guarantees.

#IndustrialAI #ReinforcementLearning #ModelPredictiveControl #ControlSystems #IndustrialAutomation #MachineLearning #SmartManufacturing

October 1, 2025 at 1:30 PM

eshmunai.bsky.social

@eshmunai.bsky.social

Pure DRL: Adapts to uncertainty. But can you trust it with million-dollar equipment? No formal safety guarantees when it matters most.

#IndustrialAI #ReinforcementLearning #ModelPredictiveControl #ControlSystems #IndustrialAutomation #MachineLearning #SmartManufacturing

October 1, 2025 at 1:30 PM

eshmunai.bsky.social

@eshmunai.bsky.social

Why most industrial AI fails: A tale of three approaches.
MPC: Optimal in theory. Brittle in practice. 52% performance loss under real-world conditions

#IndustrialAI #ReinforcementLearning #ModelPredictiveControl #ControlSystems #IndustrialAutomation #MachineLearning #SmartManufacturing

October 1, 2025 at 1:30 PM

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Researchers recast MPC as a quadratic program preserving safety, and in a spacecraft attitude-control test matched performance with reduced computation. Read more: https://getnews.me/safe-by-design-approximate-nonlinear-mpc-enables-real-time-feasibility/ #modelpredictivecontrol #controllyapunov

Safe-by-Design Approximate Nonlinear MPC Enables Real‑Time Feasibility

September 29, 2025 at 6:15 PM

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A hierarchical system uses RL for abstract goals and MPC for safe motion. In a predator‑prey benchmark it outperformed end‑to‑end and shielding‑based RL. Read more: https://getnews.me/hierarchical-rl-combined-with-mpc-boosts-multi-agent-control/ #reinforcementlearning #modelpredictivecontrol

Hierarchical RL Combined with MPC Boosts Multi-Agent Control

September 22, 2025 at 12:23 PM

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A new regularization makes any nonlinear MPC problem differentiable by design, providing gradients that match finite‑difference approximations in practice. https://getnews.me/differentiable-by-design-optimization-boosts-model-predictive-control/ #modelpredictivecontrol #optimization

Differentiable-by-Design Optimization Boosts Model Predictive Control

September 18, 2025 at 7:19 PM

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A study applies real‑time Model Predictive Control to balance power for propulsion, HVAC and battery pre‑conditioning in autonomous EVs, preserving range in cold weather. Read more: https://getnews.me/model-predictive-control-boosts-energy-efficiency-in-cold-weather-evs/ #modelpredictivecontrol #ev

Model Predictive Control Boosts Energy Efficiency in Cold-Weather EVs

September 17, 2025 at 12:05 PM

LMS Solution

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🚀 Predictive Control (MPC) for Permanent Magnet Synchronous Motor (PMSM)!
MATLAB Model: zurl.co/7iP5M
⚡ DC source + Three-phase inverter
⚡ Optimized switching pulses for inverter control
#neuralnetworks #pmsm #modelpredictivecontrol #mpc #motorcontrol