DirectTrajectoryOptimization
v0.3
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![]() ![]() | Main namespace |
![]() ![]() ![]() | Collection of base classes to interface with DirectTrajectoryOptimization |
![]() ![]() ![]() ![]() | Base class for TO constraints |
![]() ![]() ![]() ![]() | Base Class to define vector of constraints and its derivatives |
![]() ![]() ![]() ![]() | Base class to derive cost function of the type J = sum_k( phi_k(x_k,u_k,k) ) + H(X_K) |
![]() ![]() ![]() ![]() | This base class provides functionality for numerical differentiation of vector functions |
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![]() ![]() ![]() ![]() | Bolza type cost function minimizing the total energy e = uTRu |
![]() ![]() ![]() ![]() | Bolza type cost function minimizing the total trajectory time |
![]() ![]() ![]() ![]() | Bolza type cost function minimizing the total energy e = uTRu |
![]() ![]() ![]() ![]() | Bolza type cost function minimizing the distance to a goal state |
![]() ![]() ![]() ![]() | Cost function with zero intermediate and final costs |
![]() ![]() ![]() | An enumeration of the direct trajectory optimization methods that are available for use with the DirectTrajectoryOptimizationProblem class |
![]() ![]() ![]() | An enumeration of the solvers that are available for use with the DirectTrajectoryOptimizationProblem class |
![]() ![]() ![]() | This class allows users to solve direct trajectory optimization problems. using different solvers (ipopt/snopt) and different direct methods for trajectory optimization |
![]() ![]() ![]() | This class serves as a base interface for inheriting classes |
![]() ![]() ![]() | This class implements Direct transcription |
![]() ![]() ![]() | This class implements Direct Multiple Shooting |
![]() ![]() ![]() | Class handling the defects of a multiple shooting method |
![]() ![]() ![]() | This class contains all the information related to the NLP |
![]() ![]() ![]() | This class serves as a base interface for inheriting classes |
![]() ![]() ![]() | Class interfacing Ipopt NLP with a DirectTrajectoryOptimization problem |
![]() ![]() ![]() | Class interfacing SNOPT NLP with DTO Problem |