Simulation-guided parameter synthesis for chance-constrained optimization of control systems


We consider the problem of parameter synthesis for black-box systems whose operations are jointly influenced by a set of "tunable parameters" under the control of designers, and a set of uncontrollable stochastic parameters. The goal is to find values of the tunable parameters that ensure the satisfaction of given performance requirements with a high… (More)


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