6 documents found, page 1 of 1
Multi-factor optimization and failure-tolerant design of cable-driven parallel ...
Ghaffar, Asim; Zia Ur Rahman, Muhammad; Leiva, Víctor; Castro, Cecilia; Martin-Barreiro, CarlosThis article presents a framework for optimizing cable-driven parallel manipulators (CPMs) in deep-sea environments, addressing factors as failure tolerance, stiffness, and workspace within a unified framework. While previous studies have examined these factors individually, few have integrated them into a unified framework. The presented framework evaluates CPMs with six, eight, and ten cables, using inverse k...
A six-compartment model for COVID-19 with transmission dynamics and public heal...
Ambalarajan, Venkatesh; Mallela, Ankamma Rao; Sivakumar, Vinoth; Dhandapani, Prasantha Bharathi; Leiva, Víctor; Martin-Barreiro, Carlos; Castro, CeciliaThe global crisis of the COVID-19 pandemic has highlighted the need for mathematical models to inform public health strategies. The present study introduces a novel six-compartment epidemiological model that uniquely incorporates a higher isolation rate for unreported symptomatic cases of COVID-19 compared to reported cases, aiming to enhance prediction accuracy and address the challenge of initial underreporti...
Efficiency, optimality, and selection in a rigid actuation system with matching...
Ghaffar, Asim; Rahman, Muhammad Zia Ur; Leiva, Víctor; Martin-Barreiro, Carlos; Ali, Imran; Cabezas, Xavier; Castro, CeciliaSelecting the right actuator for a portable exoskeleton involves a comprehensive evaluation of various design characteristics. In this study, we introduce a methodology for actuator selection based on specific tasks, enhancing the practical adoption of portable exoskeletons. By examining a range of candidate actuators designed for lower limb exoskeletons, our objective is to engineer a system that is both light...
Addressing a decision problem through a bipolar Pythagorean fuzzy approach: A n...
Kuppusamy, Vishalakshi; Shanmugasundaram, Maragathavalli; Dhandapani, Prasantha Bharathi; Martin-Barreiro, Carlos; Cabezas, Xavier; Leiva, VíctorDecision-making in real-world scenarios faces uncertainty. Fuzzy theory has been a means to represent such uncertainty. In this study, we propose an approach that incorporates bipolarity into multi-criteria decision-making processes applied to digital marketing. The proposal considers both the positive and negative dimensions of data, leading to better-informed decisions. Our contribution integrates bipolarity ...
Addressing a decision problem through a bipolar Pythagorean fuzzy approach: A n...
Kuppusamy, Vishalakshi; Shanmugasundaram, Maragathavalli; Dhandapani, Prasantha Bharathi; Martin-Barreiro, Carlos; Cabezas, Xavier; Leiva, VíctorDecision-making in real-world scenarios often faces the challenge of uncertainty. Traditionally, fuzzy theory has been a means to represent and navigate such uncertainty. In this study, we propose a pioneering approach that incorporates a bipolarity analysis into multi-criteria decision-making processes, with a focus on its application in digital marketing. The proposal allows the analysis to be more encompassi...
Fractional transformation-based decentralized robust control of a coupled-tank ...
Rahman, Muhammad Z. U.; Leiva, Victor; Ghaffar, Asim; Martin-Barreiro, Carlos; Waleed, Aashir; Cabezas, Xavier; Castro, CecíliaPetrochemical and dairy industries, waste management, and paper manufacturing fall under the category of process industries where flow and liquid control are essential. Even when liquids are mixed or chemically treated in interconnected tanks, the fluid and flow should constantly be observed and controlled, especially when dealing with nonlinearity and imperfect plant models. In this study, we propose a nonline...