We study a class of adaptive controllers for three dimensional (3D) curve tracking under control uncertainty and unknown control gains. Using robust forward invariance and a Lyapunov-Krasovskii functional, we prove input-to-state stable tracking and parameter identification under input delays and a class of polygonal state constraints. This yields predictable tolerance and safety bounds, and compensation of arbitrarily long input delays in the important case where the delays only occur in the speed measurements in the controls. © 2013 IEEE
53rd IEEE Annual Conference on Decision and Control, CDC 2014; JW Marriott Hotel Los Angeles L.A.; U...
We give a new explicit, global, strict Lyapunov function construction for the error dynamics for ada...
This paper studies the problem of utilizing data-driven adaptive control techniques to guarantee sta...
We analyze the robustness of a class of controllers that enable three-dimensional curve tracking of ...
We study adaptive control and parameter identification for robotic curve tracking under unknown cont...
We analyze an important class of feedback controllers for curve tracking problems for robotics. Earl...
We provide adaptive controllers for curve tracking in the plane, under unknown curvatures and contro...
©2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for al...
We study an important class of feedback controllers that arise in curve tracking problems for roboti...
Abstract — We study adaptive control and parameter identifi-cation for robotic curve tracking under ...
International audienceWe analyze an important class of feedback controllers for curve tracking probl...
We study a class of steering control problems for free-moving particles tracking a curve in the plan...
Curve tracking is a challenging and central problem in robotics. In this note, we study adaptive con...
We provide barrier Lyapunov functions for model reference adaptive control algorithms, allowing us t...
International audienceAn output robust adaptive control is designed for a class of Lipschitz nonline...
53rd IEEE Annual Conference on Decision and Control, CDC 2014; JW Marriott Hotel Los Angeles L.A.; U...
We give a new explicit, global, strict Lyapunov function construction for the error dynamics for ada...
This paper studies the problem of utilizing data-driven adaptive control techniques to guarantee sta...
We analyze the robustness of a class of controllers that enable three-dimensional curve tracking of ...
We study adaptive control and parameter identification for robotic curve tracking under unknown cont...
We analyze an important class of feedback controllers for curve tracking problems for robotics. Earl...
We provide adaptive controllers for curve tracking in the plane, under unknown curvatures and contro...
©2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for al...
We study an important class of feedback controllers that arise in curve tracking problems for roboti...
Abstract — We study adaptive control and parameter identifi-cation for robotic curve tracking under ...
International audienceWe analyze an important class of feedback controllers for curve tracking probl...
We study a class of steering control problems for free-moving particles tracking a curve in the plan...
Curve tracking is a challenging and central problem in robotics. In this note, we study adaptive con...
We provide barrier Lyapunov functions for model reference adaptive control algorithms, allowing us t...
International audienceAn output robust adaptive control is designed for a class of Lipschitz nonline...
53rd IEEE Annual Conference on Decision and Control, CDC 2014; JW Marriott Hotel Los Angeles L.A.; U...
We give a new explicit, global, strict Lyapunov function construction for the error dynamics for ada...
This paper studies the problem of utilizing data-driven adaptive control techniques to guarantee sta...