AIMC Topic: Nonlinear Dynamics

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Distributed adaptive fixed-time neural networks control for nonaffine nonlinear multiagent systems.

Scientific reports
This paper, with the adaptive backstepping technique, presents a novel fixed-time neural networks leader-follower consensus tracking control scheme for a class of nonaffine nonlinear multiagent systems. The expression of the error system is derived, ...

Sideslip-Compensated Guidance-Based Adaptive Neural Control of Marine Surface Vessels.

IEEE transactions on cybernetics
This article presents an improved guidance law for underactuated marine vessels that compensates cross-track error caused by external disturbances through its sideslip. The proposed guidance law demonstrates improved path-following performance regard...

Adaptive Neural-Network Controller for an Uncertain Rigid Manipulator With Input Saturation and Full-Order State Constraint.

IEEE transactions on cybernetics
This article proposes an adaptive neural-network control scheme for a rigid manipulator with input saturation, full-order state constraint, and unmodeled dynamics. An adaptive law is presented to reduce the adverse effect arising from input saturatio...

Adaptive Actuator Failure Compensation Control Schemes for Uncertain Noncanonical Neural-Network Systems.

IEEE transactions on cybernetics
In this article, direct adaptive actuator failure compensation control is investigated for a class of noncanonical neural-network nonlinear systems whose relative degrees are implicit and parameters are unknown. Both the state tracking and output tra...

Asymptotic Tracking Control of State-Constrained Nonlinear Systems With Time-Varying Powers.

IEEE transactions on cybernetics
This article investigates the asymptotic tracking control problem for full-state-constrained nonlinear systems with unknown time-varying powers. By introducing a nonlinear state-dependent transformation, a continuous bounded scalar function, and lowe...

Adaptive Neural Dynamic Surface Control With Prespecified Tracking Accuracy of Uncertain Stochastic Nonstrict-Feedback Systems.

IEEE transactions on cybernetics
This article addresses the adaptive neural tracking control problem for a class of uncertain stochastic nonlinear systems with nonstrict-feedback form and prespecified tracking accuracy. Some radial basis function neural networks (RBF NNs) are used t...

Nonlinear motor-mechanism coupling tank gun control system based on adaptive radial basis function neural network optimised computed torque control.

ISA transactions
This study investigates the spatial pointing control of a motor-mechanism coupling tank gun. The tank gun control system (TGCS) is driven and stabilised by the motor servo system. However, complicated nonlinearities in the TGCS are inevitable, such a...

Performance enhancement of an uncertain nonlinear medical robot with optimal nonlinear robust controller.

Computers in biology and medicine
Cardiopulmonary resuscitation refers to the process of sending oxygen and blood to the body's vital organs during cardiac arrest. For this reason, designing and controlling an accurate robot is crucial to saving the lives of patients. This study aims...

Nonlinear control of a class of non-affine variable-speed variable-pitch wind turbines with radial-basis function neural networks.

ISA transactions
Due to complicated dynamics, wind turbines' governing equations are subject to uncertainties and unknown disturbance sources. Despite uncertainties and disturbance sources, the paper's focus is to design an adaptive controller that enables trajectory...

Guaranteed cost-based feedback control design for fractional-order neutral systems with input-delayed and nonlinear perturbations.

ISA transactions
Time delay in actuators is mainly caused by electrical and mechanical components. The effect is visible in the system response particularly when changing in the input command. Therefore, input delay is a problem in the control system design that must...