Terminal attractors in neural networks

Original Contribution: The “off line learning approximation” in continuous time neural networks: An adiabatic theorem

Neural Networks

Trajectory Control of Convergent Networks

Neural Processing Letters

Optimal Algorithms for Well-Conditioned Nonlinear Systems of Equations

IEEE Transactions on Computers

A Robust Adaptive Terminal Sliding Mode Control for Rigid Robotic Manipulators

Journal of Intelligent and Robotic Systems

An Unpredictable-Dynamics Approach to Neural Intelligence

IEEE Expert: Intelligent Systems and Their Applications

A theory of complexity for continuous time systems

Journal of Complexity

Technical communique: Analysis of a class of discrete-time systems with power rule

Automatica (Journal of IFAC)

Contrastive learning and neural oscillations

Neural Computation

Image-based visual servoing schemes for nonholonomic mobile manipulators

Robotica

Improved nonsingular terminal sliding mode controller design for high-order systems

CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference

The design of internal type-2 fuzzy kinematic control and interval type-2 fuzzy terminal sliding-mode dynamic control of the wheeled mobile robot

SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics

An improved training algorithm for feedforward neural network learning based on terminal attractors

Journal of Global Optimization

Neural networks with creative dynamics

Mathematical and Computer Modelling: An International Journal

Fixed point method for autonomous on-line neural network training

Neurocomputing