Satellite swarm coordinated flight(SSCF)technology has promising applications,but its complex nature poses significant challenges for control implementation.In response,this paper proposes an easily solvable adaptive ...Satellite swarm coordinated flight(SSCF)technology has promising applications,but its complex nature poses significant challenges for control implementation.In response,this paper proposes an easily solvable adaptive control scheme to achieve high-performance trajectory tracking of the SSCF system subject to actuator efficiency losses and external disturbances.Most existing adaptive controllers based on the certaintyequivalent(CE)principle show unpredictability and nonconvergence in their online parameter estimations.To overcome the above vulnerabilities and the difficulties caused by input failures of SSCF,this paper proposes an adaptive estimator based on scaling immersion and invariance(I&I),which reduces the computational complexity while improving the performance of the parameter estimator.Besides,a barrier Lyapunov function(BLF)is applied to satisfy both the boundedness of the system states and the singularity avoidance of the computation.It is proved that the estimator error becomes sufficiently small to converge to a specified attractive invariant manifold and the closed-loop SSCF system can obtain asymptotic stability under full-state constraints.Finally,numerical simulations are performed for comparison and analysis to verify the effectiveness and superiority of the proposed method.展开更多
Objective:To evaluate the predictive values of gene expressions of ribonucleotide reductase M1(RRM1) and breast cancer susceptibility gene 1(BRCA1) in peripheral blood from Chinese patients with non-small-cell lung ca...Objective:To evaluate the predictive values of gene expressions of ribonucleotide reductase M1(RRM1) and breast cancer susceptibility gene 1(BRCA1) in peripheral blood from Chinese patients with non-small-cell lung cancer(NSCLC) treated with gemcitabine plus platinum.Methods:Forty Chinese patients with advanced NSCLC were recruited and received gemcitabine 1200 mg/m 2 on Days 1 and 8 plus carboplatin AUC 5 on Day 1.RRM1 and BRCA1 expression levels in peripheral blood were detected by quantitative reverse transcription-polymerase chain reaction(RT-PCR) .Kaplan-Meier survival curve and log-rank test were performed to evaluate the correlation between gene expression and overall survival for these subjects.Results:No correlation was observed between gene expression of RRM1 and that of BRCA1(P>0.05) ,but there was a strong correlation between the expression of RRM1 and the response to chemotherapy(P=0.003) .Subjects with low RRM1 expression levels in peripheral blood had longer sur-vival time than those with high RRM1 expression levels(16.95 vs.12.76 months,log-rank 3.989,P=0.046) .However,no significant association between BRCA1 expression levels and survival time was found(16.80 vs.13.77 months,log-rank 0.830,P=0.362) .Conclusions:Patients with low RRM1 expression levels in peripheral blood have a greater response to chemotherapy and longer survival time.Advanced NSCLC patients with low RRM1 expression levels may benefit from gemcitabine plus platinum therapy.RRM1 mRNA expression in peripheral blood could be used to predict the prognosis of NSCLC treated by gemcitabine and platinum.展开更多
基金supported by the Natural Science Foundation of Shaanxi Province(2020JQ-132)China Postdoctoral Science Foundation(2020M683571)+1 种基金National Natural Science Foundation of China(62103336,11972026,U2013206)Funds for the Central Universities(3102019HTQD007)。
文摘Satellite swarm coordinated flight(SSCF)technology has promising applications,but its complex nature poses significant challenges for control implementation.In response,this paper proposes an easily solvable adaptive control scheme to achieve high-performance trajectory tracking of the SSCF system subject to actuator efficiency losses and external disturbances.Most existing adaptive controllers based on the certaintyequivalent(CE)principle show unpredictability and nonconvergence in their online parameter estimations.To overcome the above vulnerabilities and the difficulties caused by input failures of SSCF,this paper proposes an adaptive estimator based on scaling immersion and invariance(I&I),which reduces the computational complexity while improving the performance of the parameter estimator.Besides,a barrier Lyapunov function(BLF)is applied to satisfy both the boundedness of the system states and the singularity avoidance of the computation.It is proved that the estimator error becomes sufficiently small to converge to a specified attractive invariant manifold and the closed-loop SSCF system can obtain asymptotic stability under full-state constraints.Finally,numerical simulations are performed for comparison and analysis to verify the effectiveness and superiority of the proposed method.
基金Project supported by the Science and Technology Planning Project of Zhejiang Province(No.2009C33165)the Medical Science Research Fund Scheme of Zhejiang Province(No.2008A060),China
文摘Objective:To evaluate the predictive values of gene expressions of ribonucleotide reductase M1(RRM1) and breast cancer susceptibility gene 1(BRCA1) in peripheral blood from Chinese patients with non-small-cell lung cancer(NSCLC) treated with gemcitabine plus platinum.Methods:Forty Chinese patients with advanced NSCLC were recruited and received gemcitabine 1200 mg/m 2 on Days 1 and 8 plus carboplatin AUC 5 on Day 1.RRM1 and BRCA1 expression levels in peripheral blood were detected by quantitative reverse transcription-polymerase chain reaction(RT-PCR) .Kaplan-Meier survival curve and log-rank test were performed to evaluate the correlation between gene expression and overall survival for these subjects.Results:No correlation was observed between gene expression of RRM1 and that of BRCA1(P>0.05) ,but there was a strong correlation between the expression of RRM1 and the response to chemotherapy(P=0.003) .Subjects with low RRM1 expression levels in peripheral blood had longer sur-vival time than those with high RRM1 expression levels(16.95 vs.12.76 months,log-rank 3.989,P=0.046) .However,no significant association between BRCA1 expression levels and survival time was found(16.80 vs.13.77 months,log-rank 0.830,P=0.362) .Conclusions:Patients with low RRM1 expression levels in peripheral blood have a greater response to chemotherapy and longer survival time.Advanced NSCLC patients with low RRM1 expression levels may benefit from gemcitabine plus platinum therapy.RRM1 mRNA expression in peripheral blood could be used to predict the prognosis of NSCLC treated by gemcitabine and platinum.
