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Differential Equations with Piecewise Constant Argument of Generalized Type

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Neural Networks with Discontinuous/Impact Activations

Part of the book series: Nonlinear Systems and Complexity ((NSCH,volume 9))

Abstract

Differential equations with piecewise constant argument (EPCA) were proposed for investigations in [63, 91] by founders of the theory, K. Cook, S. Busenberg, J. Wiener, and S. Shah. They are named as differential EPCA. In the last three decades, many interesting results have been obtained, and applications have been realized in this theory. Existence and uniqueness of solutions, oscillations and stability, integral manifolds and periodic solutions, and many other questions of the theory have been intensively discussed. Besides the mathematical analysis, various models in biology, mechanics, and electronics were developed by using these systems. The founders proposed that the method of investigation of these equations is based on a reduction to discrete systems. That is, only values of solutions at moments, which are integers or multiples of integers, were discussed. Moreover, systems must be linear with respect to the values of solutions, if the argument is not deviated. It reduces the theoretical depth of the investigations as well as the number of real-world problems, which can be modeled by using these equations.

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Akhmet, M., Yılmaz, E. (2014). Differential Equations with Piecewise Constant Argument of Generalized Type. In: Neural Networks with Discontinuous/Impact Activations. Nonlinear Systems and Complexity, vol 9. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8566-7_2

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