Results 271 to 280 of about 27,037,911 (301)
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MODELS OF MECHANICAL SYSTEMS FOR CONTROLLERS DESIGN
IFAC Proceedings Volumes, 1992Abstract In the control of a mechanical system, such as the robot, it is important how to model the system for controller design. This paper first shows the general problems of modelling mechanical systems, in particular, the effects of the nonlinearities.
F. Arai, T. Fukuda, Y. Shoji, H. Wada
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Output Variables Control in Mechanical Systems
IFAC Proceedings Volumes, 2009Abstract Manipulator endpoint location autonomous control procedures are suggested. A method of uplimited control hierarchy has been designed, which allows to provide a desired tracking precision under conditions of uncertainty of the control object operator and the effect of external unmeasured disturbances.
Anton V. Utkin +2 more
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Parametric Control of Conservative Mechanical Systems
Journal of Dynamic Systems, Measurement, and Control, 1996Parametric excitation is used to control the vibration of a conservative mechanical system. The excitation is varied according to a quadratic, state feedback, control law. If the system has distinct eigenvalues and a full rank, diagonalizable, parametric control matrix, then the control law is asymptotically stabilizing.
Rahn, C. D., Mote, C. D. jun.
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A mechanism for information control in parallel systems
Proceedings of the seventh symposium on Operating systems principles - SOSP '79, 1979Denning and Denning have shown how the information security of sequential programs can be certified by a compile-time mechanism [3]. This paper extends their work by presenting a mechanism for certifying parallel programs. The mechanism is shown to be consistent with an axiomatic description of information transmission.
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Invertibility of quantum-mechanical control systems
Mathematical Systems Theory, 1984zbMATH Open Web Interface contents unavailable due to conflicting licenses.
C. K. Ong +3 more
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Gain control mechanisms in the nociceptive system
Pain, 2016The "gate control theory of pain" of 1965 became famous for integrating clinical observations and the understanding of spinal dorsal horn circuitry at that time into a testable model. Although it became rapidly clear that spinal circuitry is much more complex than that proposed by Melzack and Wall, their prediction of the clinical efficacy of ...
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