ABSTRACT
New concepts and viewpoints are needed to develop control algorithms for large scale systems. It is hypothesized that brain functions in human beings clearly demonstrates the existence of superior techniques for controlling complex systems with multiple objectives. The theory of compacta is investigated as a basis for learning, memory, and perception.
Subject(s)
Brain/physiology , Memory/physiology , Models, Biological , Perception/physiology , Cybernetics , Humans , Models, Psychological , Neurons/physiology , ProbabilityABSTRACT
This paper considers the problem of determining a digital computer model for the heart-rate system that includes nonrespiratory as well as respiratory effects on the heart rate. A sampled-data model is shown to be exact in certain cases and can be used with some errors for other cases. Several methods are developed for finding the model transfer function parameters as well as the parameters of a signal added to the system output. Linear and nonlinear models are considered.
