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Safety-critical control for autonomous systems: Control barrier functions via reduced-order models
Modern autonomous systems, such as flying, legged, and wheeled robots, are generally
characterized by high-dimensional nonlinear dynamics, which presents challenges for …
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 systems. We employ a two‐degree‐of‐freedom approach that separates …
Nonlinear control of mechanical systems with an unactuated cyclic variable
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 …
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 …
optimal control scheme for stabilization and trajectory tracking of discrete-time nonlinear …
Nonlinear PID predictive controller
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 …
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 …
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
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 …
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
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 …
robots with an active pendulum attached to the rear body as a balancer. In contrast with the …
Tracking in a class of nonminimum-phase systems with nonlinear internal dynamics via sliding mode control using method of system center
IA Shkolnikov, YB Shtessel - Automatica, 2002 - Elsevier
A method of asymptotic output tracking in a class of causal nonminimum-phase uncertain
nonlinear systems is considered. Local asymptotic stability of output tracking-error dynamics …
nonlinear systems is considered. Local asymptotic stability of output tracking-error dynamics …
Gaussian-process-based control of underactuated balance robots with guaranteed performance
The control of underactuated balance robots is aimed at performing both the external
(actuated) subsystem trajectory tracking and internal (unactuated) subsystem balancing …
(actuated) subsystem trajectory tracking and internal (unactuated) subsystem balancing …