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Speed-gradient method in control problems for mobile mechanical systems. / Andrievsky, Boris.

In: Mathematics in Engineering, Science and Aerospace, Vol. 10, No. 4, 2019, p. 617-641.

Research output: Contribution to journal › Article › peer-review

Harvard

Andrievsky, B 2019, 'Speed-gradient method in control problems for mobile mechanical systems', Mathematics in Engineering, Science and Aerospace, vol. 10, no. 4, pp. 617-641.

APA

Andrievsky, B. (2019). Speed-gradient method in control problems for mobile mechanical systems. Mathematics in Engineering, Science and Aerospace, 10(4), 617-641.

Vancouver

Andrievsky B. Speed-gradient method in control problems for mobile mechanical systems. Mathematics in Engineering, Science and Aerospace. 2019;10(4):617-641.

Author

Andrievsky, Boris. / Speed-gradient method in control problems for mobile mechanical systems. In: Mathematics in Engineering, Science and Aerospace. 2019 ; Vol. 10, No. 4. pp. 617-641.

BibTeX

@article{a5f6f16e10b44fbfa31d85842d3718d5,
title = "Speed-gradient method in control problems for mobile mechanical systems",
abstract = "Since the mid-1970-th, when the Speed-gradient method was originated by Alexander L. Fradkov, it has been further developed and has found various applications in the fields of adaptive control and identification, control of mechanical systems and nonlinear oscillators, control of electromechanical devices, including vibration machines, control of chaotic systems, mobile robots, satellites, control of energy and power systems, control of networks and spatially-distributed systems, etc. In the form of the Speed-gradient principle it is recognized as an efficient tool for understanding the fundamental laws of Physics. The present survey is focused on the applications of the Speedgradient method to control of mobile mechanical systems such as aircraft, satellites, car engines, and autonomous aerial and underwater vehicles.",
keywords = "Adaptation, Mobile robots, Motion control, Speed-gradient",
author = "Boris Andrievsky",
note = "Publisher Copyright: {\textcopyright} CSP-Cambridge, UK.",
year = "2019",
language = "English",
volume = "10",
pages = "617--641",
journal = "Mathematics in Engineering, Science and Aerospace",
issn = "2041-3165",
publisher = "Cambridge Scientific Publishers",
number = "4",

}

RIS

TY - JOUR

T1 - Speed-gradient method in control problems for mobile mechanical systems

AU - Andrievsky, Boris

N1 - Publisher Copyright: © CSP-Cambridge, UK.

PY - 2019

Y1 - 2019

N2 - Since the mid-1970-th, when the Speed-gradient method was originated by Alexander L. Fradkov, it has been further developed and has found various applications in the fields of adaptive control and identification, control of mechanical systems and nonlinear oscillators, control of electromechanical devices, including vibration machines, control of chaotic systems, mobile robots, satellites, control of energy and power systems, control of networks and spatially-distributed systems, etc. In the form of the Speed-gradient principle it is recognized as an efficient tool for understanding the fundamental laws of Physics. The present survey is focused on the applications of the Speedgradient method to control of mobile mechanical systems such as aircraft, satellites, car engines, and autonomous aerial and underwater vehicles.

AB - Since the mid-1970-th, when the Speed-gradient method was originated by Alexander L. Fradkov, it has been further developed and has found various applications in the fields of adaptive control and identification, control of mechanical systems and nonlinear oscillators, control of electromechanical devices, including vibration machines, control of chaotic systems, mobile robots, satellites, control of energy and power systems, control of networks and spatially-distributed systems, etc. In the form of the Speed-gradient principle it is recognized as an efficient tool for understanding the fundamental laws of Physics. The present survey is focused on the applications of the Speedgradient method to control of mobile mechanical systems such as aircraft, satellites, car engines, and autonomous aerial and underwater vehicles.

KW - Adaptation

KW - Mobile robots

KW - Motion control

KW - Speed-gradient

UR - http://www.scopus.com/inward/record.url?scp=85088985456&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:85088985456

VL - 10

SP - 617

EP - 641

JO - Mathematics in Engineering, Science and Aerospace

JF - Mathematics in Engineering, Science and Aerospace

SN - 2041-3165

IS - 4

ER -

ID: 86553635