Stochastic systems in electrical engineering encompass the modeling and analysis of systems involving random or uncertain parameters. They aim to describe the behavior of systems that cannot be fully determined due to the presence of noise, randomness, or incomplete information. Stochastic processes, such as Markov chains, Wiener processes, and white Gaussian noise, provide a framework for quantifying uncertainty and predicting system outcomes. These systems find applications in signal processing, control systems, communication systems, power systems, and biomedical engineering, where they enable effective modeling and analysis of complex systems with randomness or uncertainty.
