Results 51 to 60 of about 619,157 (157)

Model Predictive Control [PDF]

, 2018
AbstractControl design often seeks the best trajectory along which to move a system from its current state to a target state. Most control methods consider only the first step of the full trajectory toward the target state. Model predictive control considers the full sequence of steps required to move the system optimally from its current state to a ...
openaire   +1 more source

Model-Free Predictive Control Using Polynomial Regressors

SICE Journal of Control, Measurement, and System Integration, 2017
Model-free predictive control directly computes the control input from massive input/output datasets and does not use a mathematical model. In contrast, conventional model predictive control relies on mathematical models.
Hongran Li, Shigeru Yamamoto
doaj   +1 more source

Model Predictive Impedance Control and Gait Optimization for High-Speed Quadrupedal Running

Applied Sciences
Controlling legged robots to run at high speeds or to traverse complex terrains remains challenging due to the difficulty of handling the interaction between the robot and the ground.
Deok Ha Kim, Jaeuk Cho, Jong Hyeon Park
doaj   +1 more source

Model Predictive Control of Underwater Tethered Payload

Applied Sciences
A fully automated, buoy-based deployment sensor system is being developed to acquire high-quality water column data, and requires a controller to accurately position an array of sensors at various depths.
Mark O’Connor, Andy Simoneau, Rickey Dubay   +2 more
doaj   +1 more source

Deep Operator Neural Network Model Predictive Control

IEEE Open Journal of Control Systems
In this paper, we consider the design of model predictive control (MPC) algorithms based on deep operator neural networks (DeepONets) (Lu et al. 2021).
Thomas O. de Jong, Khemraj Shukla, Mircea Lazar   +2 more
doaj   +1 more source

Asynchronous Packetized Model Predictive Control

, 2015
This chapter studies an asynchronous packet-based predictive schemer for single-loop control systems. The main goal is reducing the performance degradation caused by data dropouts in networked systems. To this end, the method proposes the use of a model predictive controller and a buffer at the actuator side. Packets are transmitted through the network
Jurado Flores, Isabel, Millán Gata, Pablo   +1 more
openaire   +2 more sources

Model Predictive Control on the Neural Manifold. [PDF]

Neural Comput
Fehrman C, Meliza CD.
europepmc   +1 more source

Non-linear model predictive control for variable speed hydropower. [PDF]

Sci Rep
Nepal T, Sneltvedt T, Ram C, Bista D, Øyvang T, Sharma R.   +5 more
europepmc   +1 more source

An intelligent control algorithm for gas precise drainage problem based on Model Predictive Control. [PDF]

PLoS One
Han L, Wang Y.
europepmc   +1 more source

Model predictive control with adaptive Kalman filter for premixed turbocharged natural gas engine. [PDF]

Sci Rep
Xiong W, Gong Q, Huang S, Ye J, Xu J.
europepmc   +1 more source