Results 41 to 50 of about 248,906 (193)
Evaluation of Different Control Algorithms for Carbon Dioxide Removal with Membrane Oxygenators
Applied Sciences, 2022 Membrane oxygenators are devices that benefit from automatic control. This is especially true for implantable membrane oxygenators—a class of wearable rehabilitation devices that show high potential for fast recovery after lung injury.
Martin Elenkov +5 more
doaj +1 more source
Efficient implementation of Gaussian process–based predictive control by quadratic programming
IET Control Theory & Applications, 2023 The paper addresses the problem of accelerating predictive control of non‐linear system models augmented with Gaussian processes (GP‐MPC). Due to the non‐linear and stochastic prediction model, predictive control of GP‐based models requires to solve a ...
Péter Polcz, Tamás Péni, Roland Tóth
doaj +1 more source
Non-linear Model Predictive Control for Multi-task GPS-free Autonomous Navigation in Vineyards [PDF]
Autonomous navigation is the foundation of agricultural robots. This paper focuses on developing an advanced autonomous navigation system for a rover operating within row-based crops.
Navone, Alessandro +5 more
core +3 more sources
2007 European Control Conference (ECC), 2007 Model predictive sampled-data control of constrained, linear, time-invariant, continuous-time plants is considered. The time-discretization of the prediction horizon may be non-linear, in order to reduce the computational complexity of online MPC methods by lowering the number of optimization variables for a given prediction horizon length.
GONDHALEKAR, Ravi, IMURA, Jun-ichi
openaire +2 more sources
Solving equation systems associated with non-linear model predictive control [PDF]
, 2015 When solving optimization problems associated with non-linear model predictive control, a linear equation system of a specific structure frequently arises.
Ackzell, Erik
core
SensorsExisting control strategies, such as Real-time Optimization (RTO), Dynamic Real-time Optimization (DRTO), and Economic Model Predictive Control (EMPC) cannot enable optimal operation and control behavior in an optimal fashion.
Jiahong Xu
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 +3 more
doaj +1 more source
Application of Generalized Kernels to Learning-Based Non-Linear Model Predictive Control [PDF]
, 2022 openGaussian Processes are a powerful tool that is finding successful applications in the Control Systems field due to their high flexibility and ability to identify dynamical systems.
FERNANDEZ GALINDO, DIEGO
core
Frontiers in Applied Mathematics and Statistics, 2019 System theory has its roots in mathematical formalisms developed by mathematicians and physicists, such as Leibniz, Euler, and Newton, and applied by congenial chemists and biologists such as Lotka and Bertalanffy.
Wolfram Weckwerth, Wolfram Weckwerth
doaj +1 more source
, 2023 In this paper, the energy management strategies (EMS) as main fuel saving approaches are studied for a P4 parallel hybrid electric vehicle (HEV).
Giordano, Giuseppe +6 more
core +1 more source