AIMC Topic: Nonlinear Dynamics

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A Data-Driven ILC Framework for a Class of Nonlinear Discrete-Time Systems.

IEEE transactions on cybernetics Jul 4, 2022
In this article, we propose a data-driven iterative learning control (ILC) framework for unknown nonlinear nonaffine repetitive discrete-time single-input-single-output systems by applying the dynamic linearization (DL) technique. The ILC law is cons...
Neural Networks, Computer Algorithms Learning Feedback Nonlinear Dynamics
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Distributed Quantized Feedback Design Strategy for Adaptive Consensus Tracking of Uncertain Strict-Feedback Nonlinear Multiagent Systems With State Quantizers.

IEEE transactions on cybernetics Jul 4, 2022
This study investigates a quantized feedback design problem for distributed adaptive leader-following consensus of uncertain strict-feedback nonlinear multiagent systems with state quantizers. It is assumed that all system nonlinearities of followers...
Neural Networks, Computer Algorithms Feedback Consensus Nonlinear Dynamics
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Anti-Saturation-Based Adaptive Sliding-Mode Control for Active Suspension Systems With Time-Varying Vertical Displacement and Speed Constraints.

IEEE transactions on cybernetics Jul 4, 2022
In this article, an adaptive sliding-mode control scheme is developed for a class of uncertain quarter vehicle active suspension systems with time-varying vertical displacement and speed constraints, in which the input saturation is considered. The i...
Neural Networks, Computer Computer Simulation Feedback Time Factors Nonlinear Dynamics
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Distributed Cooperative Compound Tracking Control for a Platoon of Vehicles With Adaptive NN.

IEEE transactions on cybernetics Jul 4, 2022
This article focuses on the distributed cooperative compound tracking issue of the vehicular platoon. First, a definition, called compound tracking control, is proposed, which means that the practical finite-time stability and asymptotical convergenc...
Neural Networks, Computer Algorithms Computer Simulation Feedback Nonlinear Dynamics
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Neural-Networks-Based Prescribed Tracking for Nonaffine Switched Nonlinear Time-Delay Systems.

IEEE transactions on cybernetics Jul 4, 2022
In this article, by using the neural-networks (NNs) separation and approximation technique, an adaptive scheme is presented to deliver the prescribed tracking performance for a class of unknown nonaffine switched nonlinear time-delay systems. The non...
Neural Networks, Computer Algorithms Computer Simulation Nonlinear Dynamics
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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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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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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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Autoencoders reloaded.

Biological cybernetics Jun 21, 2022
In Bourlard and Kamp (Biol Cybern 59(4):291-294, 1998), it was theoretically proven that autoencoders (AE) with single hidden layer (previously called "auto-associative multilayer perceptrons") were, in the best case, implementing singular value deco...
Neural Networks, Computer Principal Component Analysis Nonlinear Dynamics
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