In this paper, we have developed a computationally tractable approach to stochastic receding horizon control of linear systems under state and control multiplicative noise and quadratic constraints. Our approach used open loop plus linear feedback in the on-line receding horizon optimization, allowing the problem to be solved as a semi-definite program.

Stochastic RHC.pdf

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