Results 161 to 170 of about 100,854 (200)
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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
openaire +2 more sources
ISA Transactions, 2007
In this work a control structure capable of handling controllability problems, which emerge from the presence of constraints, and improve the performance of the system by coordinating the use of several manipulated variables is introduced. In this scheme, the primary manipulated variable is used to handle the transient response while the auxiliary ...
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In this work a control structure capable of handling controllability problems, which emerge from the presence of constraints, and improve the performance of the system by coordinating the use of several manipulated variables is introduced. In this scheme, the primary manipulated variable is used to handle the transient response while the auxiliary ...
openaire +3 more sources
ISA Transactions, 2003
In this work a new method for designing predictive controllers for linear single-input/single-output systems is presented. It uses only one prediction of the process output J time intervals ahead to compute the correspondent future error. Then, the predictive feedback controller is defined by introducing a filter which weights the last w predicted ...
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In this work a new method for designing predictive controllers for linear single-input/single-output systems is presented. It uses only one prediction of the process output J time intervals ahead to compute the correspondent future error. Then, the predictive feedback controller is defined by introducing a filter which weights the last w predicted ...
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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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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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Optimal Chattering Feedback Control
Journal of Mathematical Sciences, 2003A standard solution scheme for optimal control problems (o.c.p.) is based on Pontryagin's maximum principle which reduces the solution of an o.c.p. to the solution of a Hamiltonian system with discontinuous right-hand side. For affine problems with single input, the Hamiltonian system has a tangential discontinuity, i.e., the jump of the phase velocity
Zelikin, M. I., Borisov, V. F.
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Feedback control indirect response models
Journal of Pharmacokinetics and Pharmacodynamics, 2016A general framework is introduced for modeling pharmacodynamic processes that are subject to autoregulation, which combines the indirect response (IDR) model approach with methods from classical feedback control of engineered systems. The canonical IDR models are modified to incorporate linear combinations of feedback control terms related to the time ...
Yaping, Zhang, David Z, D'Argenio
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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.
Snippe, H.P., van Hateren, J.H.
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