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Your search keyword '"Jiang, Yichun"' showing total 38 results
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38 results on '"Jiang, Yichun"'

25. Analytical Tuning Method of MPC Controllers for MIMO First-Order Plus Fractional Dead Time Systems

Author

He Lile, He Ning, and Jiang Yichun

Subjects
0209 industrial biotechnology, Computer science, model predictive control, MIMO, Bioengineering, 02 engineering and technology, lcsh:Chemical technology, Stability (probability), lcsh:Chemistry, 020901 industrial engineering & automation, 020401 chemical engineering, Control theory, Full state feedback, Chemical Engineering (miscellaneous), lcsh:TP1-1185, 0204 chemical engineering, Process Chemistry and Technology, Multivariable calculus, parameter tuning, analytical method, Dead time, First order, Model predictive control, lcsh:QD1-999, Decoupling (electronics), multivariable fractional dead time system
Abstract

An analytical model predictive control (MPC) tuning method for multivariable first-order plus fractional dead time systems is presented in this paper. First, the decoupling condition of the closed-loop system is derived, based on which the considered multivariable MPC tuning problem is simplified to a pole placement problem. Given such a simplification, an analytical tuning method guaranteeing the closed-loop stability as well as pre-specified time-domain performance is developed. Finally, simulation examples are provided to show the effectiveness of the proposed method.

Published
2020

37. Simulation-based comparison of Biopharmaceutics Classification System and drug structure

Author

Chen, Tianyu, Wu, Tianqiang, Li, Ningxi, Jiang, Yichun, Yin, Huanli, and Wu, Min

Abstract

Background:The Biopharmaceutics Classification System (BCS), which classifies bioactive molecules based on solubility and permeability, is widely used to guide new drug development and drug formulation, as well as predict pharmacokinetics. Here we performed computer simulations to study correlations between a molecule's structure and its BCS classification.Methods:A total of 411 small molecules were assigned to BCS categories based on published drug data, and their Pybel-FP4 fingerprints were extrapolated. The information gain (IG) of each fingerprint was calculated and its characteristic structure analyzed. IG was calculated using multiple thresholds, and results were verified using support vector machine prediction, while taking into account the dose coefficient (0-0.1, 0.1-1, or >1). Structural functional features common to fingerprints of compounds in each type of BCS class were determined using computer simulations.Results:BCS classes III and IV appear to share several structural and functional characteristics, including secondary aliphaticamine, Michael acceptor, isothiourea, and sulfonamide sulfonic derivatives.Conclusion:We demonstrate that our approach can correlate characteristic fingerprints of small-molecule drugs with BCS classifications, which may help guide the development and optimization of new drugs.

Published
2020
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38. The pH-triggered drug release and simultaneous carrier decomposition of effervescent SiO 2 -drug-Na 2 CO 3 composite nanoparticles: to improve the antitumor activity of hydrophobic drugs.

Author

Chen T, Jiang Y, Wang C, Cai Z, Chen H, Zhu J, Tao P, and Wu M

Abstract

To achieve a better release effect of hydrophobic drugs and spontaneous nanocarrier disintegration by dissolution as well as the CO 2 production of Na 2 CO 3 further, improving the therapeutic effect of hydrophobic drugs, and thereby avoiding the accumulation of the nanocarrier in vivo to produce organ toxicity, effervescent SiO 2 -drug-Na 2 CO 3 composite nanoparticles (ESNs) were prepared in this study using a tetraethyl orthosilicate hydrolysis method. Sodium carbonate was used as the effervescent disintegrant to respond to the acidic microenvironment of the tumor. The properties of ESNs were assessed and TEM images were taken to verify the self-disintegration characteristics of nanocarrier materials. The in vitro anticancer efficacy of ESNs was evaluated in human breast cancer MCF-7 cells. ESNs loaded with hydrophobic drugs were successfully constructed, and showed high entrapment efficiency and drug loading. The nanocarrier successfully achieved self-disintegration in a PBS environment of pH value at 5.0, and showed excellent antitumor effect in vitro . ESNs can effectively load hydrophobic drugs and achieve self-disintegration, while avoiding toxicity from the accumulation of the nanocarrier. These results suggest that ESNs are a promising drug delivery system capable of maximizing the anticancer therapeutic efficacy and minimizing the systemic toxicity., Competing Interests: There are no conflicts to declare., (This journal is © The Royal Society of Chemistry.)

Published
2021
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