Hierarchical fuzzy control of multivariable systems via semi-tensor product method

Ge, Aidong; Wang, Yuzhen; Liu, Zhenbin; Jiang, Ping

doi:10.1109/chicc.2014.6895705

Cited by 6 publications

(2 citation statements)

References 25 publications

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“…The proposed fuzzy system is multivariable, and both the antecedent and consequent have several components. Although there are several strategies to build this type of system [37], [59], [60]. The rules were created according to the effect (Table IV) of each input variable on water stress; the building elements of the center pivot were also considered.…”

Section: G Rule Basementioning

confidence: 99%

Development of a Fuzzy Variable Rate Irrigation Control System Based on Remote Sensing Data to Fully Automate Center Pivots

Mendes,

Videira,

Er-Raki

et al. 2024

IEEE Trans. Automat. Sci. Eng.

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Growing agricultural demands for the global population are unlocking the path to developing innovative solutions for efficient water management. Herein, an intelligent variable rate irrigation system (fuzzy-VRI) is proposed for decisionmaking to achieve optimized irrigation in various delimited zones. The proposed system automatically creates irrigation maps for a center pivot irrigation system for a variable rate application of water. Primary inputs are satellite imagery on remotely sensed soil moisture (SSM), soil-adjusted vegetation index (SAVI), canopy temperature (CT), and nitrogen content (NI). The system relates these inputs to set reference values for the rotation speed controllers and individual openings of each central pivot sprinkler valve. The results showed that the system can detect and characterize the spatial variability of the crop and further, the fuzzy logic solved the uncertainties of an irrigation system and defined a control model for high-precision irrigation. The proposed approach is validated through the comparison between the recommended irrigation and actual irrigation at two field sites, and the results showed that the developed approach gives an accurate estimation of irrigation with a reduction in the volume of irrigated water of up to 27% in some cases. Future research Manuscript

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Section: G Rule Basementioning

confidence: 99%

Development of a Fuzzy Variable Rate Irrigation Control System Based on Remote Sensing Data to Fully Automate Center Pivots

Mendes,

Videira,

Er-Raki

et al. 2024

IEEE Trans. Automat. Sci. Eng.

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“…Hedysarum Multijugum Maxim.-Chuanxiong Rhizoma Compound (HCC) was first used by the First Affiliated Hospital of Hunan University of Chinese Medicine. Clinical research showed that HCC has definite curative effect on cerebral ischemic diseases (such as ischemic stroke and CIR), and its clinical effective rate is over 90% (Ge, 2014). This Chinese medicine formula is composed of Hedysarum Multijugum Maxim.…”

Section: Introductionmentioning

confidence: 99%

Exploring the Regulatory Mechanism of Hedysarum Multijugum Maxim.-Chuanxiong Rhizoma Compound on HIF-VEGF Pathway and Cerebral Ischemia-Reperfusion Injury’s Biological Network Based on Systematic Pharmacology

Yang

Zeng

et al. 2021

Front. Pharmacol.

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Background: Clinical research found that Hedysarum Multijugum Maxim.-Chuanxiong Rhizoma Compound (HCC) has definite curative effect on cerebral ischemic diseases, such as ischemic stroke and cerebral ischemia-reperfusion injury (CIR). However, its mechanism for treating cerebral ischemia is still not fully explained.Methods: The traditional Chinese medicine related database were utilized to obtain the components of HCC. The Pharmmapper were used to predict HCC’s potential targets. The CIR genes were obtained from Genecards and OMIM and the protein-protein interaction (PPI) data of HCC’s targets and IS genes were obtained from String database. After that, the DAVID platform was applied for Gene Ontology (GO) enrichment analysis and pathway enrichment analysis. Finally, a series of animal experiments were carried out to further explore the mechanism of HCC intervention in CIR.Results: The prediction results of systematic pharmacology showed that HCC can regulate CIR-related targets (such as AKT1, MAPK1, CASP3, EGFR), biological processes (such as angiogenesis, neuronal axonal injury, blood coagulation, calcium homeostasis) and signaling pathways (such as HIF-1, VEGF, Ras, FoxO signaling). The experiments showed that HCC can improve the neurological deficit score, decrease the volume of cerebral infarction and up-regulate the expression of HIF-1α/VEGF and VEGFR protein and mRNA (p < 0.05).Conclusion: HCC may play a therapeutic role by regulating CIR-related targets, biological processes and signaling pathways found on this study.

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FPGA Based Hierarchical Fuzzy System

Al-Ibadi

Abood

Alwan

2020

2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE)

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Hierarchical fuzzy control of multivariable systems via semi-tensor product method

Cited by 6 publications

References 25 publications

Development of a Fuzzy Variable Rate Irrigation Control System Based on Remote Sensing Data to Fully Automate Center Pivots

Development of a Fuzzy Variable Rate Irrigation Control System Based on Remote Sensing Data to Fully Automate Center Pivots

Exploring the Regulatory Mechanism of Hedysarum Multijugum Maxim.-Chuanxiong Rhizoma Compound on HIF-VEGF Pathway and Cerebral Ischemia-Reperfusion Injury’s Biological Network Based on Systematic Pharmacology

FPGA Based Hierarchical Fuzzy System

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