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Nonlinear Dynamics

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Generalized latent multi-view clustering with tensorized bipartite graph.

Neural networks : the official journal of the International Neural Network Society
Tensor-based multi-view spectral clustering algorithms use tensors to model the structure of multi-dimensional data to take advantage of the complementary information and high-order correlations embedded in the graph, thus achieving impressive cluste...

Neural Q-learning for discrete-time nonlinear zero-sum games with adjustable convergence rate.

Neural networks : the official journal of the International Neural Network Society
In this paper, an adjustable Q-learning scheme is developed to solve the discrete-time nonlinear zero-sum game problem, which can accelerate the convergence rate of the iterative Q-function sequence. First, the monotonicity and convergence of the ite...

Predefined-time distributed optimization and anti-disturbance control for nonlinear multi-agent system with neural network estimator: A hierarchical framework.

Neural networks : the official journal of the International Neural Network Society
This paper addresses the predefined-time distributed optimization of nonlinear multi-agent system using a hierarchical control approach. Considering unknown nonlinear functions and external disturbances, we propose a two-layer hierarchical control fr...

Adaptive Virotherapy Strategy for Organism With Constrained Input Using Medicine Dosage Regulation Mechanism.

IEEE transactions on cybernetics
In this article, the constrained adaptive control strategy based on virotherapy is investigated for organism using the medicine dosage regulation mechanism (MDRM). First, the tumor-virus-immune interaction dynamics is established to model the relatio...

State identification for a class of uncertain switched systems by differential neural networks.

Network (Bristol, England)
This paper presents a non-parametric identification scheme for a class of uncertain switched nonlinear systems based on continuous-time neural networks. This scheme is based on a continuous neural network identifier. This adaptive identifier guarante...

Reinforcement learning-based consensus control for MASs with intermittent constraints.

Neural networks : the official journal of the International Neural Network Society
In this article, an adaptive optimal consensus control problem is studied for multiagent systems in the strict-feedback structure with intermittent constraints (the constraints appear intermittently). More specifically, by designing a novel switch-li...

Combination Therapy-Based Adaptive Control for Organism Using Medicine Dosage Regulation Mechanism.

IEEE transactions on cybernetics
In this article, the optimal control strategy for organism is investigated by using the adaptive dynamic programming (ADP) method under the architecture of nonzero-sum games (NZSGs). First, a tumor model is established to formulate the interaction re...

Network attractors and nonlinear dynamics of neural computation.

Current opinion in neurobiology
The importance of understanding the nonlinear dynamics of neural systems, and the relation to cognitive systems more generally, has been recognised for a long time. Approaches that analyse neural systems in terms of attractors of autonomous networks ...

A robust optimal control by grey wolf optimizer for underwater vehicle-manipulator system.

PloS one
Underwater vehicle-manipulator system (UVMS) is a commonly used underwater operating equipment. Its control scheme has been the focus of control researchers, as it operates in the presence of lumped disturbances, including modelling uncertainties and...

Reservoir computing models based on spiking neural P systems for time series classification.

Neural networks : the official journal of the International Neural Network Society
Nonlinear spiking neural P (NSNP) systems are neural-like membrane computing models with nonlinear spiking mechanisms. Because of this nonlinear spiking mechanism, NSNP systems can show rich nonlinear dynamics. Reservoir computing (RC) is a novel rec...