scholarly journals Optimization of drug combinations using Feedback System Control

2016 ◽  
Vol 11 (2) ◽  
pp. 302-315 ◽  
Author(s):  
Patrycja Nowak-Sliwinska ◽  
Andrea Weiss ◽  
Xianting Ding ◽  
Paul J Dyson ◽  
Hubert van den Bergh ◽  
...  
Keyword(s):  
Feedback System ◽  
Drug Combinations ◽  
System Control ◽  
Feedback System Control

Disturbance observer–based neural flight control for aircraft with switched time-varying distributed delays

2021 ◽  
pp. 095441002199850
Author(s):  
Dawei Wu ◽  
Jun Zhou ◽  
Hui Ye
Keyword(s):  
Flight Control ◽  
Disturbance Observer ◽  
Distributed Delay ◽  
Unsteady Aerodynamics ◽  
Feedback System ◽  
Functional Method ◽  
System Control ◽  
Time Varying ◽  
Time Varying Delay ◽  
Feedback System Control

In this article, the high angle of attack (AOA) maneuver control problem is studied under multiple disturbances and uncertainties. For the first time, the switched distributed delay is constructed to characterize the unsteady aerodynamics. Based on neural networks (NNs) and hyperbolic tangent function, the disturbance observer technique is extended to the nonstrict-feedback system control. To handle the switching problem, time-delay problem, and nonstrict-feedback problem caused by switched distributed delay terms, the Lyapunov–Krasovskii (LK) functional method and a variable separation method are cleverly combined. The proposed LK function can relax the constraints on time-varying delay. Finally, a disturbance observer–based neural finite-time prescribed performance flight control law is developed to improve the flight performance at high AOA, and its effectiveness has been verified through rigorous theoretical analysis and simulation experiments.

Feedback-System-Control Integrated Microfluidic System for Fast Screening of Protein Crystallization Conditions

2020 ◽  
Vol 20 (7) ◽  
pp. 4325-4334
Author(s):  
Sankhya Bhattacharya ◽  
Pijus Kundu ◽  
J.S. Liu ◽  
Wen-Ching Wang ◽  
Fan-Gang Tseng
Keyword(s):  
Protein Crystallization ◽  
Feedback System ◽  
Microfluidic System ◽  
System Control ◽  
Feedback System Control ◽  
Fast Screening ◽  
Crystallization Conditions

Use of feedback system control in optimizing chemical combinations to synthesize nanoparticles with desired characteristics

RSC Advances ◽  
2016 ◽  
Vol 6 (34) ◽  
pp. 28322-28330
Author(s):  
Xianting Ding ◽  
Bing Zhang ◽  
Jian Yang ◽  
Zhi Jun Ma ◽  
Gang Fan
Keyword(s):  
Feedback System ◽  
System Control ◽  
Feedback System Control

Defining desired chemical combinations through the FSC method.

scholarly journals Guiding the osteogenic fate of mouse and human mesenchymal stem cells through feedback system control

2013 ◽  
Vol 3 (1) ◽  
Author(s):  
Yoshitomo Honda ◽  
Xianting Ding ◽  
Federico Mussano ◽  
Akira Wiberg ◽  
Chih-ming Ho ◽  
...  
Keyword(s):  
Stem Cells ◽  
Mesenchymal Stem Cells ◽  
Human Mesenchymal Stem Cells ◽  
Feedback System ◽  
System Control ◽  
Feedback System Control

scholarly journals Optimizing Combinations of Flavonoids Deriving from Astragali Radix in Activating the Regulatory Element of Erythropoietin by a Feedback System Control Scheme

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Hui Yu ◽  
Wendy L. Zhang ◽  
Xianting Ding ◽  
Ken Y. Z. Zheng ◽  
Chih-Ming Ho ◽  
...  
Keyword(s):  
Drug Combination ◽  
Transcriptional Activity ◽  
Regulatory Element ◽  
Feedback System ◽  
Biological Action ◽  
System Control ◽  
Astragali Radix ◽  
Model Free ◽  
Feedback System Control ◽  
Potent Drug

Identifying potent drug combination from a herbal mixture is usually quite challenging, due to a large number of possible trials. Using an engineering approach of the feedback system control (FSC) scheme, we identified the potential best combinations of four flavonoids, including formononetin, ononin, calycosin, and calycosin-7-O-β-D-glucoside deriving from Astragali Radix (AR; Huangqi), which provided the best biological action at minimal doses. Out of more than one thousand possible combinations, only tens of trials were required to optimize the flavonoid combinations that stimulated a maximal transcriptional activity of hypoxia response element (HRE), a critical regulator for erythropoietin (EPO) transcription, in cultured human embryonic kidney fibroblast (HEK293T). By using FSC scheme, 90% of the work and time can be saved, and the optimized flavonoid combinations increased the HRE mediated transcriptional activity by ~3-fold as compared with individual flavonoid, while the amount of flavonoids was reduced by ~10-fold. Our study suggests that the optimized combination of flavonoids may have strong effect in activating the regulatory element of erythropoietin at very low dosage, which may be used as new source of natural hematopoietic agent. The present work also indicates that the FSC scheme is able to serve as an efficient and model-free approach to optimize the drug combination of different ingredients within a herbal decoction.

scholarly journals Integrating Phenotypic Search and Phosphoproteomic Profiling of Active Kinases for Optimization of Drug Mixtures for RCC Treatment

Cancers ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 2697
Author(s):  
Judy R. van Beijnum ◽  
Andrea Weiss ◽  
Robert H. Berndsen ◽  
Tse J. Wong ◽  
Louise C. Reckman ◽  
...  
Keyword(s):  
Cell Lines ◽  
Kinase Activity ◽  
Feedback System ◽  
Drug Combinations ◽  
System Control ◽  
Valuable Insight ◽  
Activity Data ◽  
Vast Number ◽  
Combined Application ◽  
Development Of Resistance

Combined application of multiple therapeutic agents presents the possibility of enhanced efficacy and reduced development of resistance. Definition of the most appropriate combination for any given disease phenotype is challenged by the vast number of theoretically possible combinations of drugs and doses, making extensive empirical testing a virtually impossible task. We have used the streamlined-feedback system control (s-FSC) technique, a phenotypic approach, which converges to optimized drug combinations (ODC) within a few experimental steps. Phosphoproteomics analysis coupled to kinase activity analysis using the novel INKA (integrative inferred kinase activity) pipeline was performed to evaluate ODC mechanisms in a panel of renal cell carcinoma (RCC) cell lines. We identified different ODC with up to 95% effectivity for each RCC cell line, with low doses (ED5–25) of individual drugs. Global phosphoproteomics analysis demonstrated inhibition of relevant kinases, and targeting remaining active kinases with additional compounds improved efficacy. In addition, we identified a common RCC ODC, based on kinase activity data, to be effective in all RCC cell lines under study. Combining s-FSC with a phosphoproteomic profiling approach provides valuable insight in targetable kinase activity and allows for the identification of superior drug combinations for the treatment of RCC.

scholarly journals Effective drug combination forCaenorhabditis elegansnematodes discovered by output-driven feedback system control technique

2017 ◽  
Vol 3 (10) ◽  
pp. eaao1254 ◽  
Author(s):  
Xianting Ding ◽  
Zach Njus ◽  
Taejoon Kong ◽  
Wenqiong Su ◽  
Chih-Ming Ho ◽  
...  
Keyword(s):  
Drug Combination ◽  
Feedback System ◽  
Effective Drug ◽  
Control Technique ◽  
System Control ◽  
Feedback System Control
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