Results 111 to 120 of about 410,243 (313)

Learning an Approximate Model Predictive Controller with Guarantees

, 2018
A supervised learning framework is proposed to approximate a model predictive controller (MPC) with reduced computational complexity and guarantees on stability and constraint satisfaction. The framework can be used for a wide class of nonlinear systems.
Allgöwer, Frank, Hertneck, Michael, Köhler, Johannes, Trimpe, Sebastian   +3 more
core   +1 more source

Beyond Imperfect Match: Silicon/Graphite Hybrid Anodes for High‐Energy–Density Lithium‐Ion Batteries

Advanced Energy Materials, EarlyView.
Silicon/graphite (Si/Gr) hybrid anodes are limited by Si's large volume change and mismatch with Gr. This review offers mechanistic insights into imperfectly matched Si/Gr hybrid anodes, elucidating heterogeneous lithiation behavior and interfacial failure pathways, and thereby informing the design of durable, high‐energy–density lithium‐ion batteries.
Jing Li, Karol Viviana Mejía‐Centeno, Malik Dilshad Khan, Guifang Zeng, Lijie Ci, Andreu Cabot, Qing Sun   +6 more
wiley   +1 more source

An MPC-driven VSL control of motorway traffic by employing a continuum second-order traffic model

Transportation Engineering
Variable speed limit (VSL) system driven by model predictive control (MPC) is implemented as a proactive traffic control measure for effective and safer traffic flow operations.
Waheed Imran, Alessio Tesone, Balázs Varga, Gennaro Nicola Bifulco, Luigi Pariota   +4 more
doaj   +1 more source

Path Tracking Control Based on Model Predictive Control With Adaptive Preview Characteristics and Speed-Assisted Constraint

IEEE Access, 2020
As one of the research focuses in the field of intelligent driving, improving the performance of path tracking has become a goal for many scholars. Among many path tracking control algorithms, model predictive control (MPC) controllers are widely used ...
Changhua Dai, Changfu Zong, Guoying Chen
doaj   +1 more source

Experimental validation of the RESPONSE framework against cyberattacks on cyber‐physical process systems

AIChE Journal, EarlyView.
Abstract This work experimentally validates the RESPONSE (Resilient Process cONtrol SystEm) framework as a solution for maintaining safe, continuous operation of cyber‐physical process systems under cyberattacks. RESPONSE implements a dual‐loop architecture that runs a networked online controller in parallel with a hard‐isolated offline controller ...
Luyang Liu, Pu Du, Zaman Sajid, Benjamin Wilhite, Costas Kravaris, Faisal Khan   +5 more
wiley   +1 more source

Energy-aware MPC co-design for DC-DC converters [PDF]

, 2013
In this paper, we propose an integrated controller design methodology for the implementation of an energy-aware explicit model predictive control (MPC) algorithms, illustrat- ing the method on a DC-DC converter model.
Constantinides, George A., Kerrigan, Eric C., Longo, Stefano, Suardi, Andrea   +3 more
core  

A Review on Recent Trends of Bioinspired Soft Robotics: Actuators, Control Methods, Materials Selection, Sensors, Challenges, and Future Prospects

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker, Tamzid Ul Islam, Md. Robiul Islam   +2 more
wiley   +1 more source

Economic and Distributed Model Predictive Control: Recent Developments in Optimization-Based Control

SICE Journal of Control, Measurement, and System Integration, 2017
The goal of this paper is to give an overview of some recent developments in the field of model predictive control. After a brief introduction to the basic concepts and available stability results, we in particular set our focus on the areas of ...
Matthias A. Müller, Frank Allgöwer   +1 more
doaj   +1 more source

Neural Network Predictive Controller Design

Chemical Engineering Transactions, 2017
This paper aims at showing the application of neural network predictive control (NNPC) to counter-current heat exchangers (HEs) in series for water savings. The controlled process unit is composed of five counter-current shell-and-tube heat exchangers in
A. Vasickaninova, M. Bakosova, J. Oravec, A. Meszaros   +3 more
doaj   +1 more source

Robust Reinforcement Learning Control Framework for a Quadrotor Unmanned Aerial Vehicle Using Critic Neural Network

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai, Yefeng Yang, Tao Huang, Boyang Li   +3 more
wiley   +1 more source