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fixed-time control protocol based on fuzzy control method  (Nonlinear Dynamics)

 
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    Nonlinear Dynamics fixed-time control protocol based on fuzzy control method
    Fixed Time Control Protocol Based On Fuzzy Control Method, supplied by Nonlinear Dynamics, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/time+based+controller/fixed+time+control+protocol+based+on+fuzzy+control+method/pm40375421-32-13-5
    Average 90 stars, based on 1 article reviews
    fixed-time control protocol based on fuzzy control method - by Bioz Stars, 2026-11
    90/100 stars

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    other:

    Article Title: Formation tracking control for networked heterogeneous MSV systems with actuator faults: A distributed optimal event-triggered fixed-time sliding mode fault-tolerant control approach
    Article Snippet: Formation tracking control for networked heterogeneous MSV systems with actuator faults: A distributed optimal event-triggered fixed-time sliding mode fault-tolerant control approach✩ Siyuan Wang a,b, Man Zhu a,b,c,∗, Yuanqiao Wen a,b,c, Wuqiang Sun f, Weidong Zhang d,e, Tao Lei a,b a Intelligent Transportation Systems Research Center, Wuhan University of Technology, Wuhan, 430063, China b State Key Laboratory of Maritime Technology and Safety, Wuhan University of Technology, Wuhan, 430063, China c Sanya Science and Education Innovation Park, Wuhan University of Technology, Sanya, 572000, China d School of Information and Communication Engineering, Hainan University, Haikou, 570228, China e Department of Automation, Shanghai Jiaotong University, Shanghai, 200240, China f RobotPLusPLusCo., Ltd, Hefei, 230000, China



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    Image Search Results


    Flow chart of setting up and verification of the PBRTQC procedure. EWMA, exponentially weighted moving average; IQC, internal quality control; LIS, laboratory information system; MA, moving average; n , batch size; PBRTQC, patient‐based real‐time quality control; λ , weighting coefficient.

    Journal: Journal of Clinical Laboratory Analysis

    Article Title: Application of Patient‐Based Real‐Time Quality Control Based on Artificial Intelligence Monitoring Platform in Continuously Quality Risk Monitoring of Down Syndrome Serum Screening

    doi: 10.1002/jcla.25019

    Figure Lengend Snippet: Flow chart of setting up and verification of the PBRTQC procedure. EWMA, exponentially weighted moving average; IQC, internal quality control; LIS, laboratory information system; MA, moving average; n , batch size; PBRTQC, patient‐based real‐time quality control; λ , weighting coefficient.

    Article Snippet: In this light, the use of patient samples for the purpose of continuous quality control, also known as patient‐based real‐time quality control (PBRTQC), was suggested in medical laboratories by the International Federation of Clinical Chemistry (IFCC) and Laboratory Medicine PBRTQC Working Group [ ].

    Techniques: Control

    The distribution trends of truncated daily data and IQC data using the z ‐score charts. Truncated daily detection data of β‐HCG and AFP calculated by the PBRTQC EWMA intelligent procedure are plotted with green solid lines, and different levels of IQC data are shown with different colors of triangles in the z ‐score charts. The truncated daily data of analytes (A) β‐HCG and (B) AFP and the corresponding IQC data are shown in the z ‐score charts. (C) The percentage of PBRTQC accumulation CV of five analytes; TEA was the allowable total error ± 30%.

    Journal: Journal of Clinical Laboratory Analysis

    Article Title: Application of Patient‐Based Real‐Time Quality Control Based on Artificial Intelligence Monitoring Platform in Continuously Quality Risk Monitoring of Down Syndrome Serum Screening

    doi: 10.1002/jcla.25019

    Figure Lengend Snippet: The distribution trends of truncated daily data and IQC data using the z ‐score charts. Truncated daily detection data of β‐HCG and AFP calculated by the PBRTQC EWMA intelligent procedure are plotted with green solid lines, and different levels of IQC data are shown with different colors of triangles in the z ‐score charts. The truncated daily data of analytes (A) β‐HCG and (B) AFP and the corresponding IQC data are shown in the z ‐score charts. (C) The percentage of PBRTQC accumulation CV of five analytes; TEA was the allowable total error ± 30%.

    Article Snippet: In this light, the use of patient samples for the purpose of continuous quality control, also known as patient‐based real‐time quality control (PBRTQC), was suggested in medical laboratories by the International Federation of Clinical Chemistry (IFCC) and Laboratory Medicine PBRTQC Working Group [ ].

    Techniques:

    Early‐warning signal provided by the optimal PBRTQC EWMA procedure in the AI‐MA platform. Solid line with yellow color in the z ‐score charts represent the early‐warning signal. (A) One negative‐bias early‐warning signal of β‐HCG between June 11 and June 23, 2021. (B) One positive‐bias early‐warning signal of uE 3 between June 24 and July 1, 2021.

    Journal: Journal of Clinical Laboratory Analysis

    Article Title: Application of Patient‐Based Real‐Time Quality Control Based on Artificial Intelligence Monitoring Platform in Continuously Quality Risk Monitoring of Down Syndrome Serum Screening

    doi: 10.1002/jcla.25019

    Figure Lengend Snippet: Early‐warning signal provided by the optimal PBRTQC EWMA procedure in the AI‐MA platform. Solid line with yellow color in the z ‐score charts represent the early‐warning signal. (A) One negative‐bias early‐warning signal of β‐HCG between June 11 and June 23, 2021. (B) One positive‐bias early‐warning signal of uE 3 between June 24 and July 1, 2021.

    Article Snippet: In this light, the use of patient samples for the purpose of continuous quality control, also known as patient‐based real‐time quality control (PBRTQC), was suggested in medical laboratories by the International Federation of Clinical Chemistry (IFCC) and Laboratory Medicine PBRTQC Working Group [ ].

    Techniques:

    Concentration distribution of collected daily data and the corresponding IQC data. The chart of concentration frequency distribution of (A) m‐β‐HCG and (B) uE 3 from daily data. The IQC concentration of (C) m‐β‐HCG and (D) uE 3 ; L1, L2, and L3 represented the three concentration levels of IQC; Lot.1 and Lot.2 represent the IQC lot number 39190 and 89400, respectively. The daily detected data of (E) m‐β‐HCG and (F) uE 3 were transformed into the z ‐score charts by the optimal PBRTQC EWMA procedure in the AI‐MA platform.

    Journal: Journal of Clinical Laboratory Analysis

    Article Title: Application of Patient‐Based Real‐Time Quality Control Based on Artificial Intelligence Monitoring Platform in Continuously Quality Risk Monitoring of Down Syndrome Serum Screening

    doi: 10.1002/jcla.25019

    Figure Lengend Snippet: Concentration distribution of collected daily data and the corresponding IQC data. The chart of concentration frequency distribution of (A) m‐β‐HCG and (B) uE 3 from daily data. The IQC concentration of (C) m‐β‐HCG and (D) uE 3 ; L1, L2, and L3 represented the three concentration levels of IQC; Lot.1 and Lot.2 represent the IQC lot number 39190 and 89400, respectively. The daily detected data of (E) m‐β‐HCG and (F) uE 3 were transformed into the z ‐score charts by the optimal PBRTQC EWMA procedure in the AI‐MA platform.

    Article Snippet: In this light, the use of patient samples for the purpose of continuous quality control, also known as patient‐based real‐time quality control (PBRTQC), was suggested in medical laboratories by the International Federation of Clinical Chemistry (IFCC) and Laboratory Medicine PBRTQC Working Group [ ].

    Techniques: Concentration Assay, Transformation Assay