Abstract: Various methods and systems for the parametric control of a process include representing the process with a process model used to generate future predictions of a process variable. In one embodiment, the process exhibits integrating behavior that is represented by a non-integrating process model. In another embodiment, an inverse of the model is filtered using a filter that includes a lead time constant that is selected to minimize a steady state error of the predicted process variable. In yet another embodiment, an array of output model values is revised or reindexed in response to a change in a time-varying parameter related to the process.

Abstract: Various methods and systems for the parametric control of a process include representing the process with a process model used to generate future predictions of a process variable. In one embodiment, the process exhibits integrating behavior that is represented by a non-integrating process model. In another embodiment, an inverse of the model is filtered using a filter that includes a lead time constant that is selected to minimize a steady state error of the predicted process variable. In yet another embodiment, an array of output model values is revised or reindexed in response to a change in a time-varying parameter related to the process.

Abstract: Disclosed are a system and method for controlling a water supply system having at least one pump and at least one storage facility. Also disclosed are a system and method of establishing a pumping schedule for a water supply system having at least one pump and at least one storage facility. The systems and methods are adapted to minimize the economic cost associated with operating the pump(s) of the water supply system. Another aspect of the systems and methods includes meeting operational constraints of the water supply system.

Abstract: Various methods and systems for the parametric control of a process include representing the process with a process model used to generate future predictions of a process variable. In one embodiment, the process exhibits integrating behavior that is represented by a non-integrating process model. In another embodiment, an inverse of the model is filtered using a filter that includes a lead time constant that is selected to minimize a steady state error of the predicted process variable. In yet another embodiment, an array of output model values is revised or reindexed in response to a change in a time-varying parameter related to the process.

Abstract: A method of controlling a process including at least two process variables and at least two control efforts, with each control effort having an influence on at least one process variable, including the steps of modelling the influence that a change in each control effort has on each process variable; describing the desired trajectory which each process variable will follow towards its desired value in response to a system change; and, coupling the control of each process variable; whereby changing a first set of at least one control efforts so as to cause a desired change in at least one process variable can be compensated for by a change in a second set of at least one control efforts so that substantially no influence in exhibited on other process variables in the system in which no change is desired.