Methods, mediums and systems are provided to enable a user to build and edit a UML model for a system containing one or more physical component, which includes the across variable and/or the through variable of the components. A UML model may include classifiers, such as classes, interfaces, datatypes, signals, components, nodes, use cases and subsystems, that describes the structural and behavioral features of the system. A UML model may include at least one of the classifiers that is described using the across variables and/or the through variables of the system. For example, the interface of a component in a UML model may be described using the across variables and/or the through variables of the component.

A containment structure configured to provide close tolerance for a rotation structure. The containment structure includes an annular inner casing having an inner annular surface being formed of an abradable material. The rotation structure is configured to be received within the annular inner casing such that the rotation structure is normally spaced-apart from the inner annular surface. The inner annular surface surrounds the rotation structure and has a first width. The rotation structure has a second width and the first width is greater than the second width. At least a section of the inner annular surface of the abradable material is cylindrical.

A complete model numerical solver resides on an embedded processor for real time control of a system. The solver eliminates the need for custom embedded code, requiring only model equations, definition of the independent and dependent variables, parameters and input sources information as input to solve the model equations directly. Through elimination of the need for custom code, the solver speeds up the model deployment process and provides the control application sophisticated features such as Automatic Differentiation, sensitivity analysis, sparse linear algebra techniques and adaptive step size in solving the model concurrently.

A control system for a gas turbine includes a controller. The controller includes a processor configured to access an operational parameter associated with the gas turbine. The processor is configured to calculate a bias based on the operational parameter, wherein the bias indicates an amount of change in a temperature of an oxidant entering a compressor of the turbine to reach a reference temperature. The processor is further configured to control the temperature of the oxidant based on the bias to improve power output of the gas turbine.

A complete model numerical solver resides on an embedded processor for real time control of a system. The solver eliminates the need for custom embedded code, requiring only model equations, definition of the independent and dependent variables, parameters and input sources information as input to solve the model equations directly. Through elimination of the need for custom code, the solver speeds up the model deployment process and provides the control application sophisticated features such as Automatic Differentiation, sensitivity analysis, sparse linear algebra techniques and adaptive step size in solving the model concurrently.