104 research outputs found
Prescribed-time second-order sliding mode controller design subject to mismatched term
This paper investigates the second-order sliding mode (SOSM) control for uncertain nonlinear systems subject to unknown mismatched terms. A new prescribed-time SOSM controller is developed by applying a time-varying coordinate transformation. The proposed controller can allow to prescribe the convergence time a priori and irrespective of initial conditions even in the presence of mismatched terms. Moreover, all the upper bounds of matched and mismatched uncertainties are not required to be exactly known. Finally, a simulation example with different initial conditions is given to show the effectiveness of the proposed controller. </p
Interpretable Machine Learning to Discover Perovskites with High Spontaneous Polarization
Machine
learning can accelerate the design of new materials by
screening large quantities of materials. We investigated the spontaneous
polarization intensity of inorganic perovskite ferroelectrics using
a machine learning approach. The machine learning model covers the
entire structure type of perovskite ferroelectrics. We make a large
number of predictions for perovskite materials based on our model
and screen 20 perovskite materials that have high spontaneous polarization
intensity. We employ the SHAP (Shapley additive explanations) technique
to qualitatively explain the machine learning model’s correctness
from a physical point of view. The results show that the larger the
average atomic radius and the smaller the electronegativity of the
metal atoms of the perovskite, the easier it is to find greater spontaneous
polarization intensity. We also screen and verify the reasonableness
of descriptors based on the model interpretation to improve the reliability
of the model. By utilizing an interpretable machine learning approach,
we can predict and optimize the properties of ferroelectrics, which
facilitates the evaluation and application of materials
Prescribed-time second-order sliding mode controller design subject to mismatched term
This paper investigates the second-order sliding mode (SOSM) control for uncertain nonlinear systems subject to unknown mismatched terms. A new prescribed-time SOSM controller is developed by applying a time-varying coordinate transformation. The proposed controller can allow to prescribe the convergence time a priori and irrespective of initial conditions even in the presence of mismatched terms. Moreover, all the upper bounds of matched and mismatched uncertainties are not required to be exactly known. Finally, a simulation example with different initial conditions is given to show the effectiveness of the proposed controller. </p
Sustainable Cooling Strategies Using New Chemical System Solutions
Energy-efficient cooling concepts
play an important role for numerous
applications in the area of comfort and industrial cooling. In this
regard, it represents a huge challenge to ensure that the cooling
demand of industrialized countries is covered in a sustainable manner
with a drastically reduced carbon footprint. In recent years, several
innovations in the field of absorption have been introduced. While
some of them are based on process improvements, other innovations
are based on newly developed chemical system solutions. One example
is the use of new working pairs for absorption chillers. In the past,
working pair related drawbacks such as crystallization, corrosion,
and instability led to a number of innovation barriers. One very promising
way to overcome these drawbacks and thereby to allow for new or improved
absorption chiller processes is the replacement of the state-of-the-art
absorbent LiBr by a suitable ionic liquid (IL). This review aims at
discussing new, energy-efficient cooling concepts with a special focus
on using ionic liquid based working pairs in absorption chillers/absorption
heat pumps. The most relevant research and development activities
are analyzed, a patent overview is provided, and both new technological
opportunities and remaining scientific challenges are identified.
Although a large number of ionic liquid papers have been published
in this field during the last 10 years, many contributions do not
adequately address the interdisciplinary set of application requirements
and do not fully recognize that most imidazole-based ionic liquids
are not suitable for being used in multieffect absorption cycles since
their (in)stability at high temperatures in the presence of water
and the resulting cooling capacity do not meet the industrial requirements
Electrospun Nanofibers Modified with Copper Nanoparticles for Simultaneous Extraction and Detection of Three Ochratoxins in Foods
In this study, several electrospun nanofibers were prepared
and
characterized, and the electrospun polystyrene/poly(ether sulfone)
nanofiber coated with copper nanoparticles (PS/PES-CuNP nanofibers)
was selected and utilized as solid-phase extraction adsorbent. And
then, the packed-fiber solid-phase extraction coupled with high-performance
liquid chromatography-fluorescence detection method was established
for the efficient determination of ochratoxins in foods. With the
proposed method, several factors including the type and dosage of
nanofibers, sample pH, extraction time, type, and volume of elution
solvent were optimized. The results suggested that low limit of detection
(0.102–0.126 ng/mL), limit of quantification (0.382–0.436
ng/mL), and recoveries (85.5–111.1%) for ochratoxin A, B, and
C with relative standard deviations <7% were achieved. As-synthesized
PS/PES-CuNP nanofibers displayed satisfactory potential practical
application in the simultaneous pretreatment and determination of
mycotoxins in complex matrice samples
On stability of model predictive control with finite-control-set constraints and disturbances
This paper investigates the stability issues of model predictive control (MPC) for discrete-time linear systems with state and finite control set (FCS) constraints subject to time-varying disturbances. A new FCS-MPC design and analysis framework is developed using the disturbance estimation approaches and the tool of robust positive invariant (RPI) set sequence. It encompasses a discrete-time exogenous signal observer that helps characterize the estimated dynamics within well-defined bounds and a quantized control law that adheres to both state and input constraints. The practical asymptotical stability of the resulting closed-loop system is shown to be guaranteed, and the tracking error remains uniformly bounded. Finally, simulation results of a numerical example validate the effectiveness of the proposed method.</p
Two Novel Cu/Mn Metal-Organic Framework Based on Aromatic Dicarboxylic Acid: Synthesis, Crystal Structure, Thermal Stability, and Luminescence Properties
<p>Two novel transition metal complexes formulated as [Cu(4,5-Himdc)(phen)]<i><sub>n</sub></i> (<b>1</b>) and [Mn(5,6-Hbidc)(H<sub>2</sub>O)]<i><sub>n</sub></i> (<b>2</b>) (4,5-H<sub>3</sub>imdc = imidazole-4,5-dicarboxylic acid, 5,6-H<sub>3</sub>bidc = 1<i>H</i>-benzimidazole-5,6-dicarboxylic acid, phen = 1,10-phenanthroline) have been synthesized under hydro(solvo)thermal method at a relatively low temperature and characterized by elemental analysis, IR spectroscopy, and X-ray single-crystal diffraction. <b>1</b> based on 4,5-H<sub>3</sub>imdc displays one-dimensional zigzag chain structure. <b>2</b> based on 5,6-H<sub>3</sub>bidc features a two-dimensional framework with 4-connected topology. Thermal stabilities and luminescence properties of the two complexes were investigated.</p
Ketamine-induced antidepressant-like behavioral effects in the FST.
<p>Ketamine-induced immobility and swimming time, respectively, in C57BL/6N mice (A,B) and in mice lacking NMDAR specifically in PV neurons (PV-Cre+/NR1f/f, <i>red bars</i>) compared with control (NR1f/f, <i>black bars</i>)(C,D). (A) Immobility of C57BL/6N mice in repeated FST 30 min, 24 h and 1 week after acute treatment with 3.0 mg/kg ketamine (<i>grey bars</i>, n = 8) or saline (<i>black bars</i>, n = 8). Results (sec/4 min) are presented as mean values ±SEM. Ketamine induces a rapid antidepressant response by significantly reducing immobility already 30 min after treatment. The antidepressant effect decreases over time. Ketamine-induced immobility time is: 192±5 saline and 116±16 ketamine (30 min) (p<0.001 Student's t-test); 196±8 saline and 149±17 ketamine (24 h) (p<0.05 Student's t-test); 183±14 saline and 163±14 ketamine (1 week) (p>0.05 Student's t-test). (B) Swimming scored in the experiment in (A). Ketamine-induced swimming time is: 47±5 saline and 123±16 ketamine (30 min) (p<0.001 Student's t-test); 44±8 saline and 91±17 ketamine (24 h) (p<0.05 Student's t-test); 57±14 saline and 77±14 ketamine (1 week) (p>0.05 Student's t-test). (C) Immobility of PV-Cre+/NR1f/f and NR1f/f mice in repeated FST after acute treatment with 3.0 mg/kg ketamine. Immobility time 30 min, 24 h and 1 week after ketamine is: 89±15, 121±13 and 174±11 (NR1f/f <i>black bars</i>, n = 6); 84±19, 83±14 and 155±12 (PV-Cre+/NR1f/f <i>red bars</i>, n = 9), respectively. (D) Swimming scored in the experiment in (C). Swimming time 30 min, 24 h and 1 week after ketamine is: 145±14, 118±13 and 66±11 (NR1f/f <i>black bars</i>, n = 6); 149±18, 156±14 and 85±12 (PV-Cre+/NR1f/<i>red bars</i>, n = 9), respectively. Both genotypes display similar behavioral response to the ketamine treatment. Results (sec/4 min) are presented as mean values ±SEM.</p
Sucrose preference test in animals lacking NMDAR in PV neurons.
<p>(A) Outline of the water intake and the sucrose preference test in PV-Cre+/NR1f/f and NR1f/f mice. (B) Water intake test (WIT) in mice lacking NMDAR specifically in PV neurons (PV-Cre+/NR1f/f, <i>red bars</i>, n = 9) compared with control mice (NR1f/f, <i>black bars</i>, n = 6). WIT was run for 24 h. Results (gr) are presented as mean values ±SEM (p>0,05;Student's t-test). (C) Sucrose preference test (SPT) in mice lacking NMDAR specifically in PV neurons (PV-Cre+/NR1f/f, <i>red bars</i>, n = 9) compared with control mice (NR1f/f, <i>black bars</i>, n = 6). SPT was run for 72 h. Results (sucrose intake/total intake ×100) are presented as mean values ±SEM (p>0,05;Student's t-test). Both genotypes display similar behavioral response.</p
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