Safety-critical control for autonomous systems: Control barrier functions via reduced-order models

MH Cohen, TG Molnar, AD Ames - Annual Reviews in Control, 2024 - Elsevier
Modern autonomous systems, such as flying, legged, and wheeled robots, are generally
characterized by high-dimensional nonlinear dynamics, which presents challenges for …

Real‐time trajectory generation for differentially flat systems

MJ Van Nieuwstadt, RM Murray - International Journal of …, 1998 - Wiley Online Library
This paper considers the problem of real‐time trajectory generation and tracking for
nonlinear control systems. We employ a two‐degree‐of‐freedom approach that separates …

Nonlinear control of mechanical systems with an unactuated cyclic variable

JW Grizzle, CH Moog… - IEEE Transactions on …, 2005 - ieeexplore.ieee.org
Numerous robotic tasks associated with underactuation have been studied in the literature.
For a large number of these in the plane, the mechanical models have a cyclic variable, the …

[КНИГА][B] Discrete-time inverse optimal control for nonlinear systems

EN Sanchez, F Ornelas-Tellez - 2013 - books.google.com
Discrete-Time Inverse Optimal Control for Nonlinear Systems proposes a novel inverse
optimal control scheme for stabilization and trajectory tracking of discrete-time nonlinear …

Nonlinear PID predictive controller

WH Chen, DJ Ballance, PJ Gawthrop, JJ Gribble… - IEE Proceedings-Control …, 1999 - IET
A new class of nonlinear PID controllers are derived for nonlinear systems using a nonlinear
generalised predictive control (NGPC) approach. First, the disturbance decoupling ability of …

[КНИГА][B] Dynamic inversion of nonlinear maps with applications to nonlinear control and robotics

NH Getz - 1995 - search.proquest.com
This dissertation introduces the notion of a dynamic inverse of a nonlinear map. The
dynamic inverse is used in the construction of nonlinear dynamical system, called a dynamic …

Issues in the application of neural networks for tracking based on inverse control

JBD Cabrera, KS Narendra - IEEE Transactions on Automatic …, 1999 - ieeexplore.ieee.org
Since 1990 a substantial amount of research has been reported in the literature concerning
the identification and control of nonlinear dynamical systems using artificial neural networks …

Learning-based trajectory tracking and balance control for bicycle robots with a pendulum: A Gaussian process approach

K He, Y Deng, G Wang, X Sun, Y Sun… - … /ASME Transactions on …, 2022 - ieeexplore.ieee.org
This article presents a learning-based control framework for a class of underactuated bicycle
robots with an active pendulum attached to the rear body as a balancer. In contrast with the …

Gaussian-process-based control of underactuated balance robots with guaranteed performance

K Chen, J Yi, D Song - IEEE Transactions on Robotics, 2022 - ieeexplore.ieee.org
The control of underactuated balance robots is aimed at performing both the external
(actuated) subsystem trajectory tracking and internal (unactuated) subsystem balancing …