Results 41 to 50 of about 584 (163)

Real-time Nonlinear Model Predictive Control (NMPC) Strategies using Physics-Based Models for Advanced Lithium-ion Battery Management System (BMS)

Journal of The Electrochemical Society, 2020
Optimal operation of lithium-ion batteries requires robust battery models for advanced battery management systems (ABMS). A nonlinear model predictive control strategy is proposed that directly employs the pseudo-two-dimensional (P2D) model for making predictions.
Suryanarayana Kolluri, Sai Varun Aduru, Manan Pathak, Richard D. Braatz, Venkat R. Subramanian   +4 more
openaire   +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, Anna‐Lena Drommershausen, Alexander Grünberger, Dirk Holtmann   +3 more
wiley   +1 more source

Hybrid Energy Management for Electric Vehicles: Enhancing Battery Lifespan and Efficiency With Marine Predator Algorithm and Dynamic Floating Mechanism

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

Design and Performance Evaluation of Nonlinear Model-Predictive Control for 3-D Ground Target Tracking With Fixed-Wing UAVs

IEEE Open Journal of the Industrial Electronics Society
This study presents the design of a nonlinear model-predictive controller (NMPC) for a fixed-wing uncrewed aerial vehicle (UAV) to circumnavigate a ground target. First, a nonlinear 3-D target tracking system model is presented.
Ignacio J. Torres, Ricardo P. Aguilera, Quang P. Ha   +2 more
doaj   +1 more source

Neural network‐based offset‐free model predictive control for nonlinear systems

AIChE Journal, Volume 72, Issue 2, February 2026.
Abstract This paper proposes an offset‐free model predictive control (MPC) framework for nonlinear systems modeled using neural network‐based nonlinear autoregressive models with exogenous inputs (NARX). To address plant‐model mismatch and ensure offset‐free tracking, the NARX model is augmented with an integrating disturbance model, resulting in an ...
Hesam Hassanpour, Prashant Mhaskar
wiley   +1 more source

Solution to Asymptotic Stability in Tracking Control of Nonlinear Systems With Control Input Differentiation, Actuator Dynamics, and Saturation Constraints

IET Control Theory &Applications, Volume 20, Issue 1, January/December 2026.
The work delivers a rigorous mathematical framework for asymptotic tracking in nonlinear systems that explicitly include control‐input derivatives, actuator dynamics, and input saturation, with Lyapunov‐based proofs establishing convergence and robustness under their coupled effects.
Mohammad Reza Homaeinezhad, Mir Mohammad Mousavi Alvar, Ali Soordi, Mojtaba Aghaei, Ali Hatefikousha, Taha Charehjoo   +5 more
wiley   +1 more source

A Layered Framework for Formation Control of Multiple Underactuated Autonomous Underwater Vehicles

IET Control Theory &Applications, Volume 20, Issue 1, January/December 2026.
This paper proposes a novel layered framework to solve the formation control problem for multiple underactuated AUVs. The approach decouples formation requirements from individual control tasks into a SC layer and a PTT layer, both designed for fixed‐time convergence.
Jiacheng Chang, Lanyong Zhang, Yifan Tan, Hongjun Yu   +3 more
wiley   +1 more source

Robust MPC for Building Energy Optimization With Continuous and Discrete Inputs

IET Control Theory &Applications, Volume 20, Issue 1, January/December 2026.
This paper presents a computationally efficient multi‐stage MPC framework for optimizing energy generation, consumption, and storage in non‐residential buildings with mixed‐integer dynamics. The recursive feasibility of the proposed formulation is established and tested through simulations on an actual office building, simultaneously optimizing thermal
Shahriar Dadras Javan, Benedikt Lammersmann, Martin Mönnigmann   +2 more
wiley   +1 more source

LoL-NMPC: Low-Level Dynamics Integration in Nonlinear Model Predictive Control for Unmanned Aerial Vehicles

2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Accepted to IROS ...
Parakh M. Gupta, Ondrej Procházka, Jan Hrebec, Matej Novosad, Robert Penicka, Martin Saska   +5 more
openaire   +2 more sources

Research on the Optimisation of Natural Gas Layered Scheduling for Offshore Platforms Based on Improved GA and MPC

Digital Twins and Applications, Volume 3, Issue 1, January/December 2026.
This study presents a hierarchical optimisation strategy combining an improved genetic algorithm with model predictive control, validated through a digital twin framework. The method improves convergence accuracy, computational efficiency and response speed, while demonstrating robustness across complex multiscenario conditions.
Xiaoguang Zhang, Xiaoyong He, Yutong Zhong, Xiaoyong Gao, Wenxin Zhan   +4 more
wiley   +1 more source