Title :
Approximate state-feedback linearization using spline functions
Author :
Bortoff, Scott A.
Author_Institution :
Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada
fDate :
29 June-1 July 1994
Abstract :
This paper presents a algorithm for the construction of a state-feedback linearizing controller. The technique uses part of the state coordinate transformation from the pseudo-linearizing method as an "output function". Spline function interpolation is used to construct the controller, which can be accomplished regardless of the complexity of the nonlinear model. A coplanar two-link robotic manipulator Acrobot is used to illustrate the design technique, and simulation results are presented which support assertions of computational efficiency and high-performance.
Keywords :
control system synthesis; linearisation techniques; manipulators; nonlinear systems; splines (mathematics); stability; state feedback; Acrobot; approximate state-feedback linearization; coplanar two-link robotic manipulator; nonlinear model; spline functions; state coordinate transformation; state-feedback linearizing controller; Computational modeling; Councils; Ear; Interpolation; Jacobian matrices; Linear approximation; Manifolds; Nonlinear systems; Robustness; Spline;
Conference_Titel :
American Control Conference, 1994
Print_ISBN :
0-7803-1783-1
DOI :
10.1109/ACC.1994.752362