AIMC Topic: Computer Simulation

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On fuzzy sampled-data control of chaotic systems via a time-dependent Lyapunov functional approach.

IEEE transactions on cybernetics Aug 5, 2014
In this paper, a novel approach to fuzzy sampled-data control of chaotic systems is presented by using a time-dependent Lyapunov functional. The advantage of the new method is that the Lyapunov functional is continuous at sampling times but not neces...
Fuzzy Logic Sample Size Nonlinear Dynamics Signal Processing, Computer-Assisted Feedback Models, Theoretical Algorithms Computer Simulation
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3-D model-based tracking for UAV indoor localization.

IEEE transactions on cybernetics Jul 31, 2014
This paper proposes a novel model-based tracking approach for 3-D localization. One main difficulty of standard model-based approach lies in the presence of low-level ambiguities between different edges. In this paper, given a 3-D model of the edges ...
Algorithms Image Interpretation, Computer-Assisted Pattern Recognition, Automated Subtraction Technique Models, Statistical Computer Simulation Robotics Aircraft Imaging, Three-Dimensional
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Further result on guaranteed H∞ performance state estimation of delayed static neural networks.

IEEE transactions on neural networks and learning systems Jul 23, 2014
This brief considers the guaranteed H∞ performance state estimation problem of delayed static neural networks. An Arcak-type state estimator, which is more general than the widely adopted Luenberger-type one, is chosen to tackle this issue. A delay-d...
Neural Networks, Computer Algorithms Time Factors Computer Simulation Regression Analysis
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Is extreme learning machine feasible? A theoretical assessment (part II).

IEEE transactions on neural networks and learning systems Jul 23, 2014
An extreme learning machine (ELM) can be regarded as a two-stage feed-forward neural network (FNN) learning system that randomly assigns the connections with and within hidden neurons in the first stage and tunes the connections with output neurons i...
Artificial Intelligence Computer Simulation Humans Neurons Algorithms Models, Neurological Neural Networks, Computer Learning Probability
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Learning from adaptive neural dynamic surface control of strict-feedback systems.

IEEE transactions on neural networks and learning systems Jul 22, 2014
Learning plays an essential role in autonomous control systems. However, how to achieve learning in the nonstationary environment for nonlinear systems is a challenging problem. In this paper, we present learning method for a class of n th-order stri...
Neural Networks, Computer Artificial Intelligence Algorithms Humans Feedback Nonlinear Dynamics Computer Simulation Learning
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Output-feedback adaptive neural control for stochastic nonlinear time-varying delay systems with unknown control directions.

IEEE transactions on neural networks and learning systems Jul 21, 2014
This paper presents an adaptive output-feedback neural network (NN) control scheme for a class of stochastic nonlinear time-varying delay systems with unknown control directions. To make the controller design feasible, the unknown control coefficient...
Neural Networks, Computer Feedback Nonlinear Dynamics Stochastic Processes Algorithms Computer Simulation
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Is extreme learning machine feasible? A theoretical assessment (part I).

IEEE transactions on neural networks and learning systems Jul 21, 2014
An extreme learning machine (ELM) is a feedforward neural network (FNN) like learning system whose connections with output neurons are adjustable, while the connections with and within hidden neurons are randomly fixed. Numerous applications have dem...
Artificial Intelligence Algorithms Computer Simulation Humans Neural Networks, Computer Neurons Learning Nerve Net Models, Neurological Generalization, Psychological
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Optimization of a multilayer neural network by using minimal redundancy maximal relevance-partial mutual information clustering with least square regression.

IEEE transactions on neural networks and learning systems Jul 17, 2014
In this paper, an optimized multilayer feed-forward network (MLFN) is developed to construct a soft sensor for controlling naphtha dry point. To overcome the two main flaws in the structure and weight of MLFNs, which are trained by a back-propagation...
Algorithms Computer Simulation Least-Squares Analysis Neural Networks, Computer Artificial Intelligence Cluster Analysis
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A two-layer recurrent neural network for nonsmooth convex optimization problems.

IEEE transactions on neural networks and learning systems Jul 15, 2014
In this paper, a two-layer recurrent neural network is proposed to solve the nonsmooth convex optimization problem subject to convex inequality and linear equality constraints. Compared with existing neural network models, the proposed neural network...
Algorithms Computer Simulation Nonlinear Dynamics Neural Networks, Computer
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Robust sensorimotor representation to physical interaction changes in humanoid motion learning.

IEEE transactions on neural networks and learning systems Jul 10, 2014
This paper proposes a learning from demonstration system based on a motion feature, called phase transfer sequence. The system aims to synthesize the knowledge on humanoid whole body motions learned during teacher-supported interactions, and apply th...
Transfer, Psychology Motion Functional Laterality Motor Activity Symbolism Knowledge Robotics Walking Learning Humans Time Factors Computer Simulation
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