Mathematical Modeling, Analysis, and Applications of Complex Dynamics in Electrical Engineering

Dear Colleagues,

Analog, digital, and mixed-mode networks can be modeled using suitable mathematical tools, such as set of ordinary and partial differential equations, algebraic expressions, and logic functions. Mathematical models are usually constructed to be as simple as possible, with respect to intended function of investigated electronic system. However, in such a case, many important features of modeled electronic systems can be neglected, and we can experience significant differences between measured and simulated results.

During the last few decades of intensive research, many building blocks dedicated to signal generation and processing have exhibit a complex behavior whose character is different from that of conventional, i.e., expected function. New numerical methods along with high-performance computers allow us to analyze mathematical models with increased complexity, considering many degrees of freedom, having elements working in different time scales or mathematical models with strongly nonlinear components, etc.

This Special Issue welcomes all contributions focused on the complex dynamical behavior of electronic circuits, introducing novel nonlinear systems having some unique properties, including the design of chaotic or hyperchaotic systems and its application in communication techniques. It also includes papers describing applications of new numerical algorithms on various electronic networks, research and review works on the mathematical methods developed for specific engineering problems, or the successful use of known mathematical approaches to answer important questions from the area of general electronics.

Dr. Jiri Petrzela
Guest Editor

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• analog and digital networks
• applications of chaos in electronics
• complex behavior
• computer-aided analysis of circuits
• deterministic dynamical system
• fractal dimension
• chaos and hyperchaos
• mathematical modeling
• nonlinear dynamics
• signal processing
• strange attractors