Zobrazeno 1 - 10
of 81
pro vyhledávání: '"Chris J. B. Macnab"'
Autor:
Chris J. B. Macnab, M. Razmi
Publikováno v:
Neurocomputing. 389:83-92
Adaptive nonlinear optimal control methods, as proposed in the literature, give rise to some questions around practical implementation in robotics, especially how to find a solution in a reasonable time and how to deal with gravity. This paper propos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::044b345a2f314ccd96cf9071f67f85e7
https://doi.org/10.1016/j.neucom.2020.01.026
https://doi.org/10.1016/j.neucom.2020.01.026
Autor:
Chris J. B. Macnab, M. Razmi
Publikováno v:
Soft Computing. 24:7113-7124
With the advent of neural networks, fuzzy logic, genetic algorithms, and other soft computing methodologies, many researchers have demonstrated successful designs for intelligent control strategies that appear to outperform traditional linear feedbac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a388bd5531d26ba8267b63a95d55d0e6
https://doi.org/10.1007/s00500-020-04851-6
https://doi.org/10.1007/s00500-020-04851-6
Autor:
Chris J. B. Macnab, Behnam Dadashzadeh
Publikováno v:
Robotica. 38:1434-1449
SUMMARYIn this research, we propose a two-level control strategy for simultaneous gait generation and stable control of planar walking of the Assume The Robot Is A Sphere (ATRIAS) biped robot with unlocked torso, utilizing active spring-loaded invert
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::777572cc0bab3a24053c5fe6ddf1cd55
https://doi.org/10.1017/s0263574719001553
https://doi.org/10.1017/s0263574719001553
Current learning systems in the field of feedback control deal with both unbiased nonlinearities and biased nonlinearities (where bias is measured at the origin) quite differently. Unbiased nonlinearities lend themselves to direct adaptive control me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ecb8764c13acbbd73a9c99cb3f6db1d
https://doi.org/10.1016/b978-0-12-822314-7.00006-7
https://doi.org/10.1016/b978-0-12-822314-7.00006-7
Autor:
Chris J. B. Macnab
Publikováno v:
SysCon
This paper presents a quadrant system and mathematical model for describing the clinical personality disorders, human personality self-images, and human personality behaviours. A proposed biological mechanism that would result in this personality str
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::025f14f3489a06e96210c54a11a0693a
https://doi.org/10.1109/syscon47679.2020.9275873
https://doi.org/10.1109/syscon47679.2020.9275873
Autor:
Chris J. B. Macnab
Publikováno v:
CogSIMA
In this paper we present a method for mathematical and computer modeling of human personalities, in a way that makes it suitable for biologically-inspired control system design. The clinical personality disorders, Lowry Colors, and Enneagram map to a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::acb7c60f79d7fdee0cedf03a4364722f
https://doi.org/10.1109/cogsima49017.2020.9215967
https://doi.org/10.1109/cogsima49017.2020.9215967
Publikováno v:
Computers & Chemical Engineering. 115:150-160
This paper addresses both the design of an optimal variable setpoint and a setpoint-tracking control loop for the dissolved oxygen concentration in a biological wastewater treatment process. Although exact knowledge of influent changes during rain/st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6637c613fe78dc15d1db529700ade07
https://doi.org/10.1016/j.compchemeng.2018.04.007
https://doi.org/10.1016/j.compchemeng.2018.04.007
Autor:
Chris J. B. Macnab
Publikováno v:
Neural Computing and Applications. 31:2207-2216
This paper proposes a method to prevent overlearning (weight drift) and bursting in adaptive control using the cerebellar model arithmetic computer (CMAC). Traditional robust adaptive methods such as deadzone, projection, e-modification are not neces
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::633dbc2f33ff77a51a1fdfd88e492506
https://doi.org/10.1007/s00521-017-3182-6
https://doi.org/10.1007/s00521-017-3182-6
Autor:
Chris J. B. Macnab
Publikováno v:
Transactions of the Institute of Measurement and Control. 40:1741-1745
This paper points out problems in a paper which appears in the Transactions of the Institute of Measurement and Control entitled “An intelligent CMAC-PD torque controller with anti-over-learning scheme for electric load simulator” by Bo Yang, Hua
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59aeba4d61ee3bf508ff33d14da2177c
https://doi.org/10.1177/0142331217692029
https://doi.org/10.1177/0142331217692029
Autor:
Sam Doctolero, Chris J. B. Macnab
Publikováno v:
SMC
Traditional robust control system design methodologies typically provide methods for dealing with well-understood, easily-modelled disturbances of similar magnitude. However, many proposed applications for robotics require interaction with an unstruc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::68936f3d2e0df0760553c6c7c66300a0
https://doi.org/10.1109/smc.2019.8914605
https://doi.org/10.1109/smc.2019.8914605