Results 31 to 40 of about 116,340 (302)
This paper presents a linear mismatched model-based offset-free model-predictive control approach for nonlinear systems (also suits for mismatched linear systems) with both bounded stochastic and deterministic disturbances.
Lantao Xie, Hongye Su, Shan Lu, Lei Xie
doaj +1 more source
Model-plant mismatch learning offset-free model predictive control
We propose model-plant mismatch learning offset-free model predictive control (MPC), which learns and applies the intrinsic model-plant mismatch, to effectively exploit the advantages of model-based and data-driven control strategies and overcome the limitations of each approach.
Sang Hwan Son +3 more
openaire +2 more sources
The novel extreme learning machine (ELM) neural network disturbance observer (NNDO) -based sliding mode control (SMC) strategy is proposed for the precise tracking control of a hypersonic vehicle (HV) under various disturbance situations.
Haiyan Gao, Weiqiang Tang, Rong Fu
doaj +1 more source
Influence of Ball-End Milling Strategy on the Accuracy and Roughness of Free Form Surfaces
Freeform surfaces are present on an increasing number of engineering products. Three- and multi-axis computer numerical control milling machines are commonly used for improved production.
Zuzana Grešová +5 more
doaj +1 more source
Protein pyrophosphorylation by inositol pyrophosphates — detection, function, and regulation
Protein pyrophosphorylation is an unusual signaling mechanism that was discovered two decades ago. It can be driven by inositol pyrophosphate messengers and influences various cellular processes. Herein, we summarize the research progress and challenges of this field, covering pathways found to be regulated by this posttranslational modification as ...
Sarah Lampe +3 more
wiley +1 more source
Tuning SISO offset-free Model Predictive Control based on ARX models
In this paper, we present a tuning methodology for a simple offset-free SISO Model Predictive Controller (MPC) based on autoregressive models with exogenous inputs (ARX models).
Poulsen, Niels Kjølstad +3 more
core +1 more source
Model predictive control of resonance sensitive irrigation canals [PDF]
Saving water is an economic and ecological need. One way to save water is to reduce losses in irrigation networks by canal automation. The goal of canal automation is to make the right amount of water to at arrive in the right time.
Klaudia Horvath, Horváth, Klaudia
core +1 more source
We reconstituted Synechocystis glycogen synthesis in vitro from purified enzymes and showed that two GlgA isoenzymes produce glycogen with different architectures: GlgA1 yields denser, highly branched glycogen, whereas GlgA2 synthesizes longer, less‐branched chains.
Kenric Lee +3 more
wiley +1 more source
This paper presents the double-layered nonlinear model predictive control method for a continuously stirred tank reactor and a pH neutralization process that are subject to input disturbances and output disturbances at the same time.
Hongbin Cai +3 more
doaj +1 more source
Modelling and Offset-free Predictive Control of the Parallel-Type Double Inverted Pendulum
This paper presents a nonlinear model of the parallel-type double inverted pendulum system with an elastic spring that produces opposing torques on the pendulums. The effects of solid and viscous frictional forces are considered in the developed model.
Ager Paul +2 more
openaire +2 more sources

