Results 261 to 270 of about 1,016,114 (310)
Disrupting abnormal neuronal oscillations with adaptive delayed feedback control. [PDF]
ElifeLeite de Castro D +4 more
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Position Feedback-Control of an Electrothermal Microactuator Using Resistivity Self-Sensing Technique. [PDF]
Sensors (Basel)Pimpin A +3 more
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Enhanced trajectory tracking for quadrotors: disturbance observer state feedback control. [PDF]
PeerJ Comput SciRen S, Wang L, Guan RP.
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Proceedings 12th Euromicro Conference on Real-Time Systems. Euromicro RTS 2000, 2002
In many real time control applications, the task periods are typically fixed and worst case execution times are used in schedulability analysis. With the advancement of robotics, flexible visual sensing using cameras has become a popular alternative to the use of embedded sensors. Unfortunately, the execution time of visual tracking varies greatly.
Marco Caccamo +2 more
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In many real time control applications, the task periods are typically fixed and worst case execution times are used in schedulability analysis. With the advancement of robotics, flexible visual sensing using cameras has become a popular alternative to the use of embedded sensors. Unfortunately, the execution time of visual tracking varies greatly.
Marco Caccamo +2 more
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Chaos: An Interdisciplinary Journal of Nonlinear Science, 2008
We present a control mechanism for tuning a fast-slow dynamical system undergoing a supercritical Hopf bifurcation to be in the canard regime, the tiny parameter window between small and large periodic behavior. Our control strategy uses continuous feedback control via a slow control variable to cause the system to drift on average toward canard orbits.
Joseph, Durham, Jeff, Moehlis
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We present a control mechanism for tuning a fast-slow dynamical system undergoing a supercritical Hopf bifurcation to be in the canard regime, the tiny parameter window between small and large periodic behavior. Our control strategy uses continuous feedback control via a slow control variable to cause the system to drift on average toward canard orbits.
Joseph, Durham, Jeff, Moehlis
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42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475), 2004
In this work a new method for designing predictive controllers for linear SISO systems is presented. It uses only one prediction of the process output J time intervals ahead to compute the correspondent future error. The predictive feedback controller is defined by introducing a filter that weights the last w-predicted errors.
Leonardo Giovanini, Michael J. Grimble
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In this work a new method for designing predictive controllers for linear SISO systems is presented. It uses only one prediction of the process output J time intervals ahead to compute the correspondent future error. The predictive feedback controller is defined by introducing a filter that weights the last w-predicted errors.
Leonardo Giovanini, Michael J. Grimble
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Feedback control of anaesthesia
Current Opinion in Anaesthesiology, 1998Feedback control of anaesthesia can improve the quality of patient care while reducing the administration and cost of anaesthetic drugs. Systems have been available for several years to control blood pressure and neuromuscular blockade. Control of anaesthetic depth has been reported using the median frequency of the electroencephalogram.
S E, Milne, G N, Kenny
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2014 American Control Conference, 2014
This paper surveys a brief history of agriculture, demonstrating how advances in genetics, equipment, and management practices have resulted in the remarkable productivity experienced by today's agriculture industrial complex. We then show that progress in each of these areas is, in part, the result of new solutions to a feedback-control problem ...
Vasu Chetty +2 more
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This paper surveys a brief history of agriculture, demonstrating how advances in genetics, equipment, and management practices have resulted in the remarkable productivity experienced by today's agriculture industrial complex. We then show that progress in each of these areas is, in part, the result of new solutions to a feedback-control problem ...
Vasu Chetty +2 more
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Dynamics of Nonlinear Feedback Control
Neural Computation, 2007Feedback control in neural systems is ubiquitous. Here we study the mathematics of nonlinear feedback control. We compare models in which the input is multiplied by a dynamic gain (multiplicative control) with models in which the input is divided by a dynamic attenuation (divisive control). The gain signal (resp.
Herman P. Snippe, J. H. van Hateren
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On interconnections, control, and feedback
IEEE Transactions on Automatic Control, 1997The control problem is formulated in terms of interconnections. The interconnections of linear time-invariant systems are studied from this point of view. Two main results are obtained. Any polynomial can be obtained as the characteristic polynomial of an interconnection with a given plant, provided the plant is not autonomous.
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