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OpTaS
1.0.7
An optimization-based task specification library for trajectory optimization and model predictive control.
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OpTaS
1.0.7
An optimization-based task specification library for trajectory optimization and model predictive control.
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This is the complete list of members for optas.models.TaskModel, including all inherited members.
| __init__(self, str name, int dim, List[int] time_derivs=[0], str symbol="y", Dict[int, Tuple[List[float]]] dlim={}, Union[None, int] T=None, bool is_discrete=False) | optas.models.TaskModel | |
| optas::models::Model.__init__(self, str name, int dim, List[int] time_derivs, str symbol, Dict[int, Tuple[List[float]]] dlim, Union[None, int] T) | optas.models.Model | |
| dim | optas.models.Model | |
| dlim | optas.models.Model | |
| get_limits(self, int time_deriv) | optas.models.Model | |
| get_name(self) | optas.models.Model | |
| in_limit(self, ArrayType x, int time_deriv) | optas.models.Model | |
| is_discrete | optas.models.TaskModel | |
| name | optas.models.Model | |
| state_name(self, int time_deriv) | optas.models.Model | |
| state_optimized_name(self, int time_deriv) | optas.models.Model | |
| state_parameter_name(self, int time_deriv) | optas.models.Model | |
| symbol | optas.models.Model | |
| T | optas.models.Model | |
| time_derivs | optas.models.Model |
1.9.1