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Volume 9: Mechanical Systems and Control, Parts A, B, and C
Modeling dynamic systems incurring stochastic disturbances for deriving a control policy is a ubiquitous task in engineering. However, in some instances obtaining a model of a system may be impractical or impossible. Alternative approaches have been developed using a simulation-based stochastic framework, in which the system interacts with its environment in real time and obtains information that can be processed to produce an optimal control policy. In this context, the problem of developing adoi:10.1115/imece2007-41258 fatcat:vre5mqxb7raktoenvrw5xt4zvy