Results 41 to 50 of about 1,367 (181)
Energies, 2022 In this paper, a deep neural network (DNN)-based nonlinear model predictive controller (NMPC) is demonstrated using real-time experimental implementation.
David C. Gordon +8 more
doaj +1 more source
Key Technical Fields and Future Outlooks of Space Manipulators: A Survey
SmartBot, EarlyView.This paper systematically reviews the technological development of space manipulators, emphasizing the unique challenges posed by space environments. It examines four areas: structural design, modeling, planning, and control, while introducing typical ground test platforms.
Gang Chen +12 more
wiley +1 more source
Nonlinear Model Predictive Control for Series-Parallel Hybrid Electric Buses
IEEE Access, 2019 In the trend of urgent demand of energy saving for public transportation, the series-parallel plug-in hybrid electric bus (SPPHEB) with energy saving potential is proposed.
Biao Liu +3 more
doaj +1 more source
Automatic Control of Hot Metal Temperature
Metals, 2022 To achieve the automation of blast furnace operation, an automatic control system for hot metal temperature (HMT) was developed. Nonlinear model predictive control (NMPC) which predicts up to ten-hour-ahead HMT and calculates appropriate control actions ...
Yoshinari Hashimoto +3 more
doaj +1 more source
AI in chemical engineering: From promise to practice
AIChE Journal, Volume 72, Issue 7, July 2026.Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew +4 more
wiley +1 more source
Transfer Learning Approaches in Bioprocess Engineering: Opportunities and Challenges
Biotechnology and Bioengineering, Volume 123, Issue 6, Page 1417-1431, June 2026.ABSTRACT Transfer learning (TL) has recently emerged as a promising approach to overcoming one of the key limitations of bioprocess engineering: data scarcity. By leveraging knowledge from one bioprocess to another, TL allows existing models and data sets to be reused efficiently, accelerating process development, improving prediction accuracy, and ...
Daniel Barón Díaz +3 more
wiley +1 more source
Phase-dependent nonlinear MPC for stair climbing: Edge-pivot control with a double-pendulum model
Results in Control and OptimizationThis paper develops and validates optimal control for a double-pendulum and a hybrid switching controller for a wheel-based stair-climbing device (SCD).
Carlos Raymundo +2 more
doaj +1 more source
Engineering Reports, Volume 8, Issue 3, March 2026.An intelligent energy management system (IEMS) optimized by the MPA‐DFM approach dynamically regulates battery power using supercapacitor energy in hybrid electric vehicles. The proposed control strategy minimizes battery stress and power loss, extends lifetime, and ensures real‐time stability across transient and steady‐state driving conditions ...
Yassine Bouteraa, Mohammad Khishe
wiley +1 more source
Papers in Palaeontology, Volume 12, Issue 2, March/April 2026.Abstract The fossil record of coelacanths (Actinistia) is diminished by several nominal gaps that obscure vital information pertaining to the clade's evolutionary history. Latimeriidae, the family that includes the extant coelacanth Latimeria, in addition to the Cenozoic, has an outstanding missing gap of 50 myr during the Mesozoic, with no records of ...
Jack L. Norton +4 more
wiley +1 more source
NMPC for Collision Avoidance by Superellipsoid Separation
ASME Letters in Dynamic Systems and ControlAbstract This paper introduces a novel nonlinear model predictive controller (NMPC) formulation for real-time obstacle avoidance on heavy equipment by modeling both vehicle and obstacles as convex superellipsoids. The combination of this approach with the separating hyperplane theorem and optimization engine (OpEn) allows to achieve ...
Moran, Ruairi +7 more
openaire +4 more sources