1. A method of automatically determining process parameters for processing equipment, said method comprising: processing at least one first substrate in the processing equipment at a first time; processing at least one second substrate in the processing equipment at a second time different from the first time; collecting data on process monitors for the at least one first substrate after processing is completed; collecting data on process monitors for the at least one second substrate after processing is completed; receiving the collected data by a multiple-input-multiple-output (MIMO) optimization system; revising a sensitivity matrix used, by a MIMO optimizer of the MIMO optimization system, using the collected data and an adaptive-learning algorithm, wherein the adaptive-learning algorithm revises the sensitivity matrix based on a learning parameter which is related to a rate of change of the processing equipment over time; and determining a set of process parameters for the processing equipment by the MIMO optimizer, wherein the MIMO optimizer uses the revised sensitivity matrix to determine the process parameters.