Results 261 to 270 of about 855,672 (314)

Feedback control of anaesthesia

Current Opinion in Anaesthesiology, 1998
Feedback 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, 2003
A 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, 2016
A 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, 2007
Feedback 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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Adaptive State-Feedback Controller

2019
In this chapter, we present the book’s first adaptive stabilizing controllers for \( 2 \times 2 \) systems. These are state-feedback solutions requiring full state measurements. The first result on adaptive control of \( 2 \times 2 \) systems is given in the back-to-back papers Anfinsen and Aamo (2016a, b), for a system in the form ( 7.1), but with ...
Henrik Anfinsen, Ole Morten Aamo
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Feedback control for clinicians

Journal of Clinical Monitoring and Computing, 2013
Although feedback control and automation has revolutionized many fields of human activity, it has yet to have a significant impact on healthcare, particularly when a patient is in the loop. Although there have been a number of studies concerned with closed-loop control of anesthesia, they have yet to have an impact on clinical practice.
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Feedback control in anaesthesia

International journal of clinical monitoring and computing, 1997
This review considers the some of the methods of automatic control which are usable in medicine. The features of each type of control system are explained and the advantages and disadvantages summarised. The author has attempted to maintain a balance between what is possible with the excellence of modern engineering, and what is feasible in the ...
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Adaptive-feedback control algorithm

Physical Review E, 2006
This paper is motivated by giving the detailed proofs and some interesting remarks on the results the author obtained in a series of papers [Phys. Rev. Lett. 93, 214101 (2004); Phys. Rev. E 71, 037203 (2005); 69, 067201 (2004)], where an adaptive-feedback algorithm was proposed to effectively stabilize and synchronize chaotic systems.
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Controllability Subspaces and Feedback Simulation

SIAM Journal on Control and Optimization, 1975
The concepts of input chain and controllability chain are introduced, and the structure of controllability subspaces of a linear system is investigated. It is shown that the input and controllability chains are the fundamental feedback invariants of a linear system.The feedback simulation problem (a generalization of the feedback equivalence problem ...
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Feedback Control Designs

2014
This chapter collects a variety of feedback control design methods, including eigenstructure assignment, robust and optimal control as well as a linear parameter-varying design concept and fixed-order optimization approaches to feedback control design.
A. Schirrer, M. Kozek, F. Demourant, G. Ferreres   +3 more
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