AIMC Topic: Nonlinear Dynamics

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Adaptive fault-tolerant consensus for a class of leader-following systems using neural network learning strategy.

Neural networks : the official journal of the International Neural Network Society
In this paper, the leader-following consensus problem of a class of nonlinearly multi-dimensional multi-agent systems with actuator faults is addressed by developing a novel neural network learning strategy. In order to achieve the desirable consensu...

Stable memory with unstable synapses.

Nature communications
What is the physiological basis of long-term memory? The prevailing view in Neuroscience attributes changes in synaptic efficacy to memory acquisition, implying that stable memories correspond to stable connectivity patterns. However, an increasing b...

A Repeatable Motion Scheme for Kinematic Control of Redundant Manipulators.

Computational intelligence and neuroscience
To achieve closed trajectory motion planning of redundant manipulators, each joint angle has to be returned to its initial position. Most of the repeatable motion schemes have been proposed to solve kinematic problems considering only the initial des...

Barrier Function-Based Adaptive Control for Uncertain Strict-Feedback Systems Within Predefined Neural Network Approximation Sets.

IEEE transactions on neural networks and learning systems
In this article, a globally stable adaptive control strategy for uncertain strict-feedback systems is proposed within predefined neural network (NN) approximation sets, despite the presence of unknown system nonlinearities. In contrast to the convent...

Feedback delays can enhance anticipatory synchronization in human-machine interaction.

PloS one
Research investigating the dynamics of coupled physical systems has demonstrated that small feedback delays can allow a dynamic response system to anticipate chaotic behavior. This counterintuitive phenomenon, termed anticipatory synchronization, has...

Nonlinear approximation via compositions.

Neural networks : the official journal of the International Neural Network Society
Given a function dictionary D and an approximation budget N∈N, nonlinear approximation seeks the linear combination of the best N terms [Formula: see text] to approximate a given function f with the minimum approximation error [Formula: see text] Mot...

Quadrotor Identification through the Cooperative Particle Swarm Optimization-Cuckoo Search Approach.

Computational intelligence and neuroscience
This paper explores the model parameters estimation of a quadrotor UAV by exploiting the cooperative particle swarm optimization-cuckoo search (PSO-CS). The PSO-CS regulates the convergence velocity benefiting from the capabilities of social thinking...

A New Nonlinear Sparse Component Analysis for a Biologically Plausible Model of Neurons.

Neural computation
It is known that brain can create a sparse representation of the environment in both sensory and mnemonic forms (Olshausen & Field, 2004). Such sparse representation can be combined in downstream areas to create rich multisensory responses to support...

Adaptive Neural Event-Triggered Control for Discrete-Time Strict-Feedback Nonlinear Systems.

IEEE transactions on cybernetics
This paper proposes a novel event-triggered (ET) adaptive neural control scheme for a class of discrete-time nonlinear systems in a strict-feedback form. In the proposed scheme, the ideal control input is derived in a recursive design process, which ...