Abstract: An integrated optimization and control technique performs process control and optimization using stochastic optimization similar to the manner in which biological immune systems work, and thus without the use of historical process models that must be created prior to placing the control and optimization routine in operation within a plant. An integrated optimization and control technique collects various indications of process control states during the on-line operation of the process, and attempts to optimize the process operation by developing a series of sets of process control inputs to be provided to the process, wherein the control inputs may be developed from the stored process control states using an objective function that defines a particular optimality criteria to be used in optimizing the operation of the process.

Abstract: An integrated optimization and control technique performs process control and optimization using stochastic optimization similar to the manner in which biological immune systems work, and thus without the use of historical process models that must be created prior to placing the control and optimization routine in operation within a plant. An integrated optimization and control technique collects various indications of process control states during the on-line operation of the process, and attempts to optimize the process operation by developing a series of sets of process control inputs to be provided to the process, wherein the control inputs may be developed from the stored process control states using an objective function that defines a particular optimality criteria to be used in optimizing the operation of the process.

Abstract: An integrated optimization and control technique performs process control and optimization using stochastic optimization similar to that used in biological immune systems during on-line operation of a process, the technique collects and stores indications of process control states. During steady-state operation, the technique optimizes process operation by developing sets of process control inputs from stored process control states using an objective function that defines an optimality criterion. Moreover, after one or more disturbance inputs experiences a significant change, the technique responds by comparing the changed disturbance inputs to the disturbance inputs of at least some of the stored process control states to determine the stored process control states that are closest to the new process operating condition.

Abstract: An integrated optimization and control technique performs process control and optimization using stochastic optimization similar to the manner in which biological immune systems work, and thus without the use of historical process models that must be created prior to placing the control and optimization routine in operation within a plant. In particular, an integrated optimization and control technique collects various indications of process control states during the on-line operation of the process, and stores these process control states within a memory. During steady-state operation of the process, the integrated optimization and control technique attempts to optimize the process operation by developing a series of sets of process control inputs to be provided to the process, wherein the series of process control inputs may be developed from the stored process control states using an objective function that defines a particular optimality criteria to be used in optimizing the operation of the process.

Abstract: An information display system for representing the condition of an industrial process is dynamically convertible via a control input from presenting information in a first form of output to one or more additional forms of output that are different but equivalent to the first. The system can thereby convert the presentation to display terms and labels in a second language or to use a different diagrammatic representation for process flow conditions and the like. The system has a processor with encoded definitions that may be data type groups or point groups, text groups, symbol groups and the like. A memory stores the different but equivalent definitions applicable to the two forms of output, preferably in one-for-one corresponding lists in memory. A control input such as a pointing device or touch sensitive screen triggers the processor to change from one set of definitions to another.