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Biomedical subjects

Robin J Evans

Publications and source records attributed to Robin J Evans.

3 recordsLinked to original sources

Control of chaos: methods and applications in mechanics.

A survey of the field related to control of chaotic systems is presented. Several major branches of research that are discussed are feed-forward ('non-feedback') control (based on periodic excitation of the system), the 'Ott-Grebogi-Yorke method' (based on the linearization of the Poincaré map), the 'Pyragas method' (based on a time-delayed feedback), traditional for control-engineering methods including linear, nonlinear and adaptive control. Other areas of research such as control of distributed (spatio-temporal and delayed) systems, chaotic mixing are outlined. Applications to control of chaotic mechanical systems are discussed.

Algorithms↗

Chaotic observer-based synchronization under information constraints.

Limitations of observer-based synchronization systems under information constraints (limited information capacity of the coupling channel) are evaluated. We give theoretical analysis for multidimensional drive-response systems represented in the Lurie form (linear part plus nonlinearity depending only on measurable outputs). It is shown that the upper bound of the limit synchronization error (LSE) is proportional to the upper bound of the transmission error. As a consequence, the upper and lower bounds of LSE are proportional to the maximum rate of the coupling signal and inversely proportional to the information transmission rate (channel capacity). Optimality of the binary coding for coders with one-step memory is established. The results are applied to synchronization of two chaotic Chua systems coupled via a channel with limited capacity.

Journal Article↗

A model to describe the relationship between knowledge, skill, and judgment in nursing practice.

This paper explores the relationship between knowledge, skill, and judgment and proposes a model to describe that relationship. Through illustration of the components and interrelationships within this model one can more clearly understand the nature of nursing work. Drawing on Benner's work on novice to expert, the model shows the interrelationship and the evolution of knowledge, skill, and judgment in a nurse's practice.

Clinical Competence↗