Many continuous time stochastic systems that are modeled by SDE and SPDE have been limited to noise processes being Brownian motions. Brownian motion models have a well developed stochastic calculus and limiting behaviors that reflect the martingale, Markov and Gaussian properties. However for many physical systems the empirical data do not justify the use of Brownian motion as the model for random disturbances. Thus it is necessary to find more general noise models and tractable methods to solve the associated problems of control or adaptive control. These other noise models include more general Gaussian processes and non-Gaussian processes. The talk focuses on new challenges and opportunities in stochastic systems and control with their interdisciplinary nature.
Interdisciplinary Research Addressing New Challenges: The Central Role of Stochastic Systems and Control
Bozenna Pasik-Duncan, University of KansasAuthors: Bozenna Pasik-Duncan
2022 AWM Research Symposium
Systems and Control