csnlp.wrappers.NonRetroactiveWrapper

class csnlp.wrappers.NonRetroactiveWrapper(nlp)

Bases: Wrapper[SymType], Generic[SymType]

Same as Wrapper, but the wrapped NLP instance must have no variable, parameter or objective specified; in other words, the wrapper must wrap the NLP before it gets defined.

Parameters:

nlpNlp

The NLP instance to be wrapped.

Raises:

ValueError

Raises if the objective, variables, dual variables, parameters or constraints are already defined in this NLP instance.

Methods

is_wrapped(wrapper_type)

Gets whether the NLP instance is wrapped or not by the given wrapper type.

Attributes

unwrapped

'Returns the original NLP of the wrapper.

is_wrapped(wrapper_type)

Gets whether the NLP instance is wrapped or not by the given wrapper type.

Parameters:

wrapper_typetype of Wrapper

Type of wrapper to check if the NLP is wrapped with.

Returns:

bool

True if wrapped by an instance of wrapper_type; False, otherwise.

Return type:

bool

property unwrapped: Nlp[SymType]

‘Returns the original NLP of the wrapper.

Examples using csnlp.wrappers.NonRetroactiveWrapper

Linear MPC control

Linear MPC control

MPC controller for PWA systems

MPC controller for PWA systems

Multiple Scenario MPC

Multiple Scenario MPC

Simple open-loop MPC controller

Simple open-loop MPC controller

Scenario-based MPC

Scenario-based MPC

How scaling can help convergence

How scaling can help convergence