A course in fuzzy systems and control
A course in fuzzy systems and control
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Brief paper: Adaptive tracking of nonlinear systems with non-symmetric dead-zone input
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Neural adaptive control for a class of nonlinear systems with unknown deadzone
Neural Computing and Applications - Special Issue: Neural networks for control, robotics and diagnostics
Evolving fuzzy classifiers using different model architectures
Fuzzy Sets and Systems
IEEE Transactions on Neural Networks
Recurrent neural networks training with stable bounding ellipsoid algorithm
IEEE Transactions on Neural Networks
Adaptive inferential sensors based on evolving fuzzy models
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Handling drifts and shifts in on-line data streams with evolving fuzzy systems
Applied Soft Computing
Incremental learning with multi-level adaptation
Neurocomputing
Computers & Mathematics with Applications
Creating Evolving User Behavior Profiles Automatically
IEEE Transactions on Knowledge and Data Engineering
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Multivariable Gaussian Evolving Fuzzy Modeling System
IEEE Transactions on Fuzzy Systems
Robust adaptive control of a class of nonlinear systems with unknown dead-zone
Automatica (Journal of IFAC)
Identification and control of dynamical systems using neural networks
IEEE Transactions on Neural Networks
Uniformly Stable Backpropagation Algorithm to Train a Feedforward Neural Network
IEEE Transactions on Neural Networks
High-order neural network structures for identification of dynamical systems
IEEE Transactions on Neural Networks
Convergence Study in Extended Kalman Filter-Based Training of Recurrent Neural Networks
IEEE Transactions on Neural Networks
Identification of Extended Hammerstein Systems Using Dynamic Self-Optimizing Neural Networks
IEEE Transactions on Neural Networks
SaFIN: A Self-Adaptive Fuzzy Inference Network
IEEE Transactions on Neural Networks - Part 1
IEEE Transactions on Fuzzy Systems
Distributed Adaptive Tracking Control for Synchronization of Unknown Networked Lagrangian Systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Fuzzily Connected Multimodel Systems Evolving Autonomously From Data Streams
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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In this paper, the modelling problem of nonlinear systems with dead-zone input is considered. To solve this problem, an evolving intelligent system is proposed. The uniform stability of the modelling error for the aforementioned system is guaranteed by means of a Lyapunov-like analysis. The effectiveness of the proposed technique is verified by simulations.