Improving Operator Performance through the Use of a Multivariable Human-Machine Control Strategy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Most of the mechatronics equipments and gadgets that we all nowadays rely on incorporate some kind of multidimensional human-machine systems. There is an increasing concern for improving the usability, performance, ergonomics and safety of such devices, and ultimately this will lead to the mass-production of next-generation intelligent machines, which will be capable to assist the human operator and to reduce the global effort by estimating and measuring its skills. This ongoing work introduces a novel human-machine multi-dynamic modeling methodology which can be applied on the development of these Human Adaptive Mechatronic (HAM) machines, able to adapt to the skill/dexterity levels of its users, and to enhance Human’s proficiency. As a new strategy for model development, a number of two-dimensional independent pursuit manual tracking experiments are evaluated. A human-machine state-space linear model is obtained and successfully applied to design an improved closed-loop multivariable control structure.
Original languageUnknown
Title of host publicationIFIP Advances in Information and Communication Technology
Pages95-104
Volume372
DOIs
Publication statusPublished - 1 Jan 2012
Event3rd IFIP/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems -
Duration: 1 Jan 2012 → …

Conference

Conference3rd IFIP/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems
Period1/01/12 → …

Keywords

    Cite this

    Coito, F. J. A. V. D., & DEE Group Author (2012). Improving Operator Performance through the Use of a Multivariable Human-Machine Control Strategy. In IFIP Advances in Information and Communication Technology (Vol. 372, pp. 95-104) https://doi.org/10.1007/978-3-642-28255-3_11
    Coito, Fernando José Almeida Vieira do ; DEE Group Author. / Improving Operator Performance through the Use of a Multivariable Human-Machine Control Strategy. IFIP Advances in Information and Communication Technology. Vol. 372 2012. pp. 95-104
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    keywords = "Man-Machine Interfaces, Human-in-the-Loop Multivariable Control, Human-Machine Dynamics, Manual Tracking Systems",
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    Coito, FJAVD & DEE Group Author 2012, Improving Operator Performance through the Use of a Multivariable Human-Machine Control Strategy. in IFIP Advances in Information and Communication Technology. vol. 372, pp. 95-104, 3rd IFIP/SOCOLNET Doctoral Conference on Computing, Electrical and Industrial Systems, 1/01/12. https://doi.org/10.1007/978-3-642-28255-3_11

    Improving Operator Performance through the Use of a Multivariable Human-Machine Control Strategy. / Coito, Fernando José Almeida Vieira do; DEE Group Author.

    IFIP Advances in Information and Communication Technology. Vol. 372 2012. p. 95-104.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

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    N2 - Most of the mechatronics equipments and gadgets that we all nowadays rely on incorporate some kind of multidimensional human-machine systems. There is an increasing concern for improving the usability, performance, ergonomics and safety of such devices, and ultimately this will lead to the mass-production of next-generation intelligent machines, which will be capable to assist the human operator and to reduce the global effort by estimating and measuring its skills. This ongoing work introduces a novel human-machine multi-dynamic modeling methodology which can be applied on the development of these Human Adaptive Mechatronic (HAM) machines, able to adapt to the skill/dexterity levels of its users, and to enhance Human’s proficiency. As a new strategy for model development, a number of two-dimensional independent pursuit manual tracking experiments are evaluated. A human-machine state-space linear model is obtained and successfully applied to design an improved closed-loop multivariable control structure.

    AB - Most of the mechatronics equipments and gadgets that we all nowadays rely on incorporate some kind of multidimensional human-machine systems. There is an increasing concern for improving the usability, performance, ergonomics and safety of such devices, and ultimately this will lead to the mass-production of next-generation intelligent machines, which will be capable to assist the human operator and to reduce the global effort by estimating and measuring its skills. This ongoing work introduces a novel human-machine multi-dynamic modeling methodology which can be applied on the development of these Human Adaptive Mechatronic (HAM) machines, able to adapt to the skill/dexterity levels of its users, and to enhance Human’s proficiency. As a new strategy for model development, a number of two-dimensional independent pursuit manual tracking experiments are evaluated. A human-machine state-space linear model is obtained and successfully applied to design an improved closed-loop multivariable control structure.

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    Coito FJAVD, DEE Group Author. Improving Operator Performance through the Use of a Multivariable Human-Machine Control Strategy. In IFIP Advances in Information and Communication Technology. Vol. 372. 2012. p. 95-104 https://doi.org/10.1007/978-3-642-28255-3_11