AIMC Topic: Nonlinear Dynamics

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Asymmetric Input-Output Constraint Control of a Flexible Variable-Length Rotary Crane Arm.

IEEE transactions on cybernetics Sep 19, 2022
This article demonstrates the realization of angle tracking and deformation suppression by developing two boundary controllers for a flexible variable-length rotary crane arm with extraneous disturbances and asymmetric input-output constraints. The d...
Neural Networks, Computer Computer Simulation Nonlinear Dynamics
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Energy-Saving Robust Saturated Control for Active Suspension Systems via Employing Beneficial Nonlinearity and Disturbance.

IEEE transactions on cybernetics Sep 19, 2022
This article proposes a novel control framework for active suspension systems by purposely employing beneficial nonlinearity and a useful disturbance effect for control performance enhancement. To this aim, a novel amplitude-limited PD-SMC control sc...
Neural Networks, Computer Algorithms Computer Simulation Feedback Nonlinear Dynamics
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Optimal Bounded Ellipsoid Identification With Deterministic and Bounded Learning Gains: Design and Application to Euler-Lagrange Systems.

IEEE transactions on cybernetics Sep 19, 2022
This article proposes an effective optimal bounded ellipsoid (OBE) identification algorithm for neural networks to reconstruct the dynamics of the uncertain Euler-Lagrange systems. To address the problem of unbounded growth or vanishing of the learni...
Neural Networks, Computer Algorithms Learning Nonlinear Dynamics
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Model-Free Containment Control of Underactuated Surface Vessels Under Switching Topologies Based on Guiding Vector Fields and Data-Driven Neural Predictors.

IEEE transactions on cybernetics Sep 19, 2022
This article investigates the model-free containment control of multiple underactuated unmanned surface vessels (USVs) subject to unknown kinetic models. A novel cooperative control architecture is presented for achieving a containment formation unde...
Neural Networks, Computer Computer Simulation Nonlinear Dynamics
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Computational Modeling of Structural Synaptic Plasticity in Echo State Networks.

IEEE transactions on cybernetics Sep 19, 2022
Most existing studies on computational modeling of neural plasticity have focused on synaptic plasticity. However, regulation of the internal weights in the reservoir based on synaptic plasticity often results in unstable learning dynamics. In this a...
Neural Networks, Computer Computer Simulation Neuronal Plasticity Neurons Nonlinear Dynamics
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Adaptive Finite-Time Tracking Control of Nonholonomic Multirobot Formation Systems With Limited Field-of-View Sensors.

IEEE transactions on cybernetics Sep 19, 2022
This article studies the vision-based tracking control problem for a nonholonomic multirobot formation system with uncertain dynamic models and visibility constraints. A fixed onboard vision sensor that provides the relative distance and bearing angl...
Neural Networks, Computer Computer Simulation Nonlinear Dynamics
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Adaptive Fuzzy Finite-Time Control for Nonstrict-Feedback Nonlinear Systems.

IEEE transactions on cybernetics Sep 19, 2022
This article presents an adaptive fuzzy finite-time control (AFFTC) method for nonstrict-feedback nonlinear systems (NFNSs) with unknown dynamics. With the aid of the backstepping technique, by establishing the smooth switch function (SSF), a novel C...
Neural Networks, Computer Algorithms Computer Simulation Feedback Nonlinear Dynamics
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A Nonlinear Finite-Time Robust Differential Game Guidance Law.

Sensors (Basel, Switzerland) Sep 2, 2022
In this paper, a robust differential game guidance law is proposed for the nonlinear zero-sum system with unknown dynamics and external disturbances. First, the continuous-time nonlinear zero-sum differential game problem is transformed into solving ...
Neural Networks, Computer Algorithms Computer Simulation Feedback Nonlinear Dynamics
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Online Optimal Adaptive Control of Partially Uncertain Nonlinear Discrete-Time Systems Using Multilayer Neural Networks.

IEEE transactions on neural networks and learning systems Aug 31, 2022
This article intends to address an online optimal adaptive regulation of nonlinear discrete-time systems in affine form and with partially uncertain dynamics using a multilayer neural network (MNN). The actor-critic framework estimates both the optim...
Neural Networks, Computer Algorithms Computer Simulation Feedback Nonlinear Dynamics
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Neural Networks Enhanced Optimal Admittance Control of Robot-Environment Interaction Using Reinforcement Learning.

IEEE transactions on neural networks and learning systems Aug 31, 2022
In this paper, an adaptive admittance control scheme is developed for robots to interact with time-varying environments. Admittance control is adopted to achieve a compliant physical robot-environment interaction, and the uncertain environment with t...
Neural Networks, Computer Computer Simulation Robotics Nonlinear Dynamics Gene-Environment Interaction
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