Results 71 to 80 of about 1,367 (181)

Optimizing Unmanned Air–Ground Vehicle Maneuvers Using Nonlinear Model Predictive Control and Moving Horizon Estimation

open access: yesAutomation
In this paper, Nonlinear Model Predictive Control (NMPC) and Nonlinear Moving Horizon Estimator (NMHE) are combined to control, in a distributed way, a heterogeneous fleet composed of a steering car and a quadcopter.
Alessandra Elisa Sindi Morando   +4 more
doaj   +1 more source

Adaptive NMPC for trajectory tracking of 4WID-4WIS mobile robot

open access: yesSmart Agricultural Technology
This paper investigates the trajectory tracking control problem of four-wheel independently driven and steered (4WID-4WIS) mobile robots for operation in dwarf dense orchards. A trajectory tracking method based on Nonlinear Model Predictive Control (NMPC)
Song Bi   +4 more
doaj   +1 more source

Hovering Control of ROV Based on Event-Triggered Image Moments Nonlinear Model Predictive Control

open access: yesJournal of Marine Science and Engineering
Hovering control of remotely operated vehicles (ROVs) is a key fundamental capability for underwater operation tasks, and vision-based ROV hovering control has become a current research focus because of its significant advantages.
Ziyang Shen   +4 more
doaj   +1 more source

Robust Adaptive NMPC using Ellipsoidal Tubes

open access: yesIEEE Transactions on Automatic Control
We propose a computationally efficient nonlinear Model Predictive Control (NMPC) algorithm for safe, learning-based control. The system model is represented as an affine combination of basis functions with unknown parameters, and is subject to additive set-bounded disturbances.
Johannes Buerger, Mark Cannon
openaire   +2 more sources

Nanoporosity improved water absorption, in vitro degradability, mineralization, osteoblast responses and drug release of poly(butylene succinate)-based composite scaffolds containing nanoporous magnesium silicate compared with magnesium silicate

open access: yesInternational Journal of Nanomedicine, 2017
Zhaoying Wu,1 Quan Li,2 Yongkang Pan,1 Yuan Yao,1 Songchao Tang,1 Jiacan Su,2 Jung-Woog Shin,3 Jie Wei,1 Jun Zhao4,5 1Key Laboratory for Ultrafine Materials of Ministry of Education, East China University of Science and Technology, 2Department of ...
Wu Z   +8 more
doaj  

Battery Health Aware Nonlinear Model Predictive Control of a Parallel Electric–Hydraulic Hybrid Wheel Loader

open access: yesEnergies
Parallel electric–hydraulic hybrid (PEHH) powertrains offer benefits of lower energy consumption and increased battery lifetime compared to pure electric ones.
Meridian Haas, Shima Nazari
doaj   +1 more source

Enhanced robust NMPC based on nominal predictions

open access: yesIFAC Proceedings Volumes, 2010
This paper deals with the design of robust predictive controllers for uncertain constrained nonlinear systems. The considered controller is based on nominal predictions and can be posed as a standard MPC. Robust feasibility is ensured by imposing more conservative constraints in the optimization problem to take into account explicitly the effect of the
Limon, Daniel   +4 more
openaire   +4 more sources

Integrated Thermal Management of Electric Vehicles Based on Model Predictive Control With Approximated Value Function

open access: yesIEEE Access
The thermal management system (TMS) in electric vehicles (EVs), including climate control and battery thermal regulation, consumes more energy than any other auxiliary components.
Youyi Chen   +4 more
doaj   +1 more source

Non-linear model predictive control with single-shooting method for autonomous personal mobility vehicle

open access: yesJournal of Mechatronics, Electrical Power, and Vehicular Technology
The advancement of autonomous vehicle technology has markedly evolved during the last decades. Reliable vehicle control is one of the essential technologies in this domain.
Rakha Rahmadani Pratama   +6 more
doaj   +1 more source

Safe adaptive NMPC using ellipsoidal tubes

open access: yes2025 European Control Conference (ECC)
A computationally efficient nonlinear Model Predictive Control (NMPC) algorithm is proposed for safe learning-based control with a system model represented by an incompletely known affine combination of basis functions and subject to additive set-bounded disturbances. The proposed algorithm employs successive linearization around predicted trajectories
Buerger, J, Cannon, M
openaire   +3 more sources

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