Abstract: A process control system determines optimal trajectories (input controls) using multiresolutional analysis of acquired data. In contrast to conventional control systems, the present control system does not use a predetermined mathematical model or algorithm to define the process in terms of a plurality of variables. Rather, the present system acquires system data and stores the data in a multiresolutional data structure. A knowledge base is created which can be searched at varying levels of resolution for determining optimal process trajectories. The continual addition of data to the data structure allows for continual top-down refinement of the determined trajectories and bottom-up improvement and updating of the system representation.