AIMC Topic: Nonlinear Dynamics

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Neural Network-Based DOBC for a Class of Nonlinear Systems With Unmatched Disturbances.

IEEE transactions on neural networks and learning systems Jan 8, 2016
In this brief, the problem of composite anti-disturbance tracking control for a class of strict-feedback systems with unmatched unknown nonlinear functions and external disturbances is investigated. A disturbance-observer-based control (DOBC) in comb...
Machine Learning Nonlinear Dynamics Neural Networks, Computer
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Identification and Control for Singularly Perturbed Systems Using Multitime-Scale Neural Networks.

IEEE transactions on neural networks and learning systems Jan 6, 2016
Many well-established singular perturbation theories for singularly perturbed systems require the full knowledge of system model parameters. In order to obtain an accurate and faithful model, a new identification scheme for singularly perturbed nonli...
Time Factors Nonlinear Dynamics Neural Networks, Computer Artificial Intelligence
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Exponential stabilization and synchronization for fuzzy model of memristive neural networks by periodically intermittent control.

Neural networks : the official journal of the International Neural Network Society Dec 31, 2015
The problem of exponential stabilization and synchronization for fuzzy model of memristive neural networks (MNNs) is investigated by using periodically intermittent control in this paper. Based on the knowledge of memristor and recurrent neural netwo...
Nonlinear Dynamics Knowledge Models, Theoretical Fuzzy Logic Algorithms Neural Networks, Computer
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FPGA-Based Stochastic Echo State Networks for Time-Series Forecasting.

Computational intelligence and neuroscience Dec 31, 2015
Hardware implementation of artificial neural networks (ANNs) allows exploiting the inherent parallelism of these systems. Nevertheless, they require a large amount of resources in terms of area and power dissipation. Recently, Reservoir Computing (RC...
Neurons Nonlinear Dynamics Time Factors Electronic Data Processing Computer Systems Stochastic Processes Algorithms Humans Models, Neurological Forecasting Neural Networks, Computer
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Using Genetic Programming with Prior Formula Knowledge to Solve Symbolic Regression Problem.

Computational intelligence and neuroscience Dec 24, 2015
A researcher can infer mathematical expressions of functions quickly by using his professional knowledge (called Prior Knowledge). But the results he finds may be biased and restricted to his research field due to limitation of his knowledge. In cont...
Models, Theoretical Algorithms Regression Analysis Models, Genetic Nonlinear Dynamics Humans Artificial Intelligence
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Synchronization of Delayed Memristive Neural Networks: Robust Analysis Approach.

IEEE transactions on cybernetics Dec 22, 2015
This paper considers the asymptotic and finite-time synchronization of drive-response memristive neural networks (MNNs) with time-varying delays. It is known that the parameters of MNNs are state-dependent, and hence the traditional robust control an...
Memory Electrical Equipment and Supplies Nonlinear Dynamics Neural Networks, Computer Time Factors Models, Theoretical
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Stability Analysis of Neural Networks With Two Delay Components Based on Dynamic Delay Interval Method.

IEEE transactions on neural networks and learning systems Dec 10, 2015
In this paper, a dynamic delay interval (DDI) method is proposed to deal with the stability problem of neural networks with two delay components. This method extends the fixed interval of a time-varying delay to a dynamic one, which relaxes the restr...
Nonlinear Dynamics Neural Networks, Computer Computer Simulation Time Factors
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Neuroplasticity in dynamic neural networks comprised of neurons attached to adaptive base plate.

Neural networks : the official journal of the International Neural Network Society Dec 9, 2015
In this paper, a learning algorithm is developed for Dynamic Plastic Continuous Neural Networks (DPCNNs) to improve their learning of highly nonlinear time dependent problems. A DPCNN is comprised of a base medium, which is nonlinear and plastic, and...
Computer Simulation Neuronal Plasticity Algorithms Brain Adaptation, Physiological Neurons Nonlinear Dynamics Humans Neural Networks, Computer
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Centralized and decentralized global outer-synchronization of asymmetric recurrent time-varying neural network by data-sampling.

Neural networks : the official journal of the International Neural Network Society Dec 2, 2015
In this paper, we discuss outer-synchronization of the asymmetrically connected recurrent time-varying neural networks. By using both centralized and decentralized discretization data sampling principles, we derive several sufficient conditions based...
Neural Networks, Computer Statistics as Topic Time Factors Algorithms Nonlinear Dynamics
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Improved Neural Networks with Random Weights for Short-Term Load Forecasting.

PloS one Dec 2, 2015
An effective forecasting model for short-term load plays a significant role in promoting the management efficiency of an electric power system. This paper proposes a new forecasting model based on the improved neural networks with random weights (INN...
Electric Power Supplies Algorithms Neural Networks, Computer Nonlinear Dynamics
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