Conference PaperChance Constraint based Design of Controllers for Linear Uncertain SystemsNandi, Souransu; Singh, TarunrajThis paper considers the problem of state-tostate transition with state and control constraints, for a linear system with model parameter uncertainties. Polynomial chaos is used to transform the stochastic model to a deterministic surrogate model. This surrogate model is used to pose a chance constrained optimal control problem where the state constraints and the residual energy cost are represented in terms of the mean and variance of the stochastic states. The resulting convex optimization is illustrated on the problem of rest-to-rest maneuver of the benchmark floating oscillator.2017-05-24101131372017 American Control Conferencehttps://doi.org/1537210National Science Foundation