AIMC Topic: Computer Simulation

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Adaptive Neural Control for Switched Nonlinear Systems With Unstable Dynamic Uncertainties: A Small Gain-Based Approach.

IEEE transactions on cybernetics Jul 4, 2022
This article concentrates on the adaptive neural control for switched nonlinear systems interconnected with unmodeled dynamics. The investigated model consists of two dynamic processes, namely, the x -system and the unmodeled z -dynamics. In this art...
Neural Networks, Computer Computer Simulation Feedback Nonlinear Dynamics
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Finite-Time Command-Filtered Composite Adaptive Neural Control of Uncertain Nonlinear Systems.

IEEE transactions on cybernetics Jul 4, 2022
This article presents a new command-filtered composite adaptive neural control scheme for uncertain nonlinear systems. Compared with existing works, this approach focuses on achieving finite-time convergent composite adaptive control for the higher-o...
Neural Networks, Computer Computer Simulation Feedback Nonlinear Dynamics
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Resilient Delayed Impulsive Control for Consensus of Multiagent Networks Subject to Malicious Agents.

IEEE transactions on cybernetics Jul 4, 2022
Impulsive control is widely applied to achieve the consensus of multiagent networks (MANs). It is noticed that malicious agents may have adverse effects on the global behaviors, which, however, are not taken into account in the literature. In this st...
Humans Neural Networks, Computer Computer Simulation Time Factors Consensus
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Tip Position Control and Vibration Suppression of a Planar Two-Link Rigid-Flexible Underactuated Manipulator.

IEEE transactions on cybernetics Jul 4, 2022
When a flexible link manipulator lacks a joint motor, how to use the remaining motors to achieve the control objective is a challenge, and the research in this direction is limited. This article presents a tip position control and vibration suppressi...
Computer Simulation Biomechanical Phenomena Robotics Vibration
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Delay-Dependent Stability Analysis for Switched Stochastic Networks With Proportional Delay.

IEEE transactions on cybernetics Jul 4, 2022
In this article, the issue of exponential stability (ES) is investigated for a class of switched stochastic neural networks (SSNNs) with proportional delay (PD). The key feature of PD is an unbounded time-varying delay. By considering the comparison ...
Neural Networks, Computer Algorithms Computer Simulation Stochastic Processes
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Neuroadaptive Finite-Time Control for Nonlinear MIMO Systems With Input Constraint.

IEEE transactions on cybernetics Jul 4, 2022
This article considers the problem of finite-time (FT) tracking control for a class of uncertain multi-input-multioutput (MIMO) nonlinear systems with input backlash. A modified FT command filter is designed in each step of backstepping, which ensure...
Neural Networks, Computer Computer Simulation Nonlinear Dynamics
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An End-to-End Deep Learning Approach for State Recognition of Multifunction Radars.

Sensors (Basel, Switzerland) Jul 1, 2022
With the widespread use of multifunction radars (MFRs), it is hard for the traditional radar signal recognition technology to meet the needs of current electronic intelligence systems. For signal recognition of an MFR, it is necessary to identify not...
Neural Networks, Computer Computer Simulation Deep Learning Radar
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Response Attenuation of a Structure Equipped with ATMD under Seismic Excitations Using Methods of Online Simple Adaptive Controller and Online Adaptive Type-2 Neural-Fuzzy Controller.

Computational intelligence and neuroscience Jul 1, 2022
The present study aims to design a robust adaptive controller employed in the active tuned mass damper (ATMD) system to overcome undesirable vibrations in multistory buildings under seismic excitations. We propose a novel adaptive type-2 neural-fuzzy...
Neural Networks, Computer Algorithms Computer Simulation Uncertainty
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Periodic event-triggered adaptive tracking control design for nonlinear discrete-time systems via reinforcement learning.

Neural networks : the official journal of the International Neural Network Society Jun 30, 2022
In this paper, an event-triggered control scheme with periodic characteristic is developed for nonlinear discrete-time systems under an actor-critic architecture of reinforcement learning (RL). The periodic event-triggered mechanism (ETM) is construc...
Neural Networks, Computer Computer Simulation Feedback Nonlinear Dynamics Reinforcement, Psychology
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Digital Twin for Human-Robot Interactions by Means of Industry 4.0 Enabling Technologies.

Sensors (Basel, Switzerland) Jun 30, 2022
There has been a rapid increase in the use of collaborative robots in manufacturing industries within the context of Industry 4.0 and smart factories. The existing human-robot interactions, simulations, and robot programming methods do not fit into t...
Humans Artificial Intelligence Software Technology Computer Simulation Robotics
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