1. A method of tuning a model predictive controller for use in controlling a process, comprising: obtaining via a computer processor a process model for the process, the process model including a value for each of a set of process model parameters; obtaining via a computer processor a process model mismatch indication identifying a process model mismatch for at least one of the set of process model parameters; and performing on a computer processor a controller optimization based on the process model and the process model mismatch indication including determining a control-based performance measure for the model predictive controller when operated using each of a multiplicity of different sets of controller design/tuning parameter values and the process model in presence of an amount of process model mismatch associated with the process model mismatch indication, and determining an optimal one of the set of the controller design/tuning parameter values for use in the model predictive controller based on the control-based performance measures.