Convergence and robustness of bounded recurrent neural networks for solving dynamic Lyapunov equations

Comprehensive study on complex-valued ZNN models activated by novel nonlinear functions for dynamic complex linear equations

(2021) Jianhua Dai et al.   INFORMATION SCIENCES

High-order error function designs to compute time-varying linear matrix equations

(2021) Lin Xiao et al.   INFORMATION SCIENCES

Activated Gradients for Deep Neural Networks

(2021) Mei Liu et al.   IEEE Transactions on Neural Networks and Learning Systems

A power-type varying gain discrete-time recurrent neural network for solving time-varying linear system

(2020) Zhijun Zhang et al.   NEUROCOMPUTING

Design and analysis of three nonlinearly activated ZNN models for solving time-varying linear matrix inequalities in finite time

(2020) Yuejie Zeng et al.   NEUROCOMPUTING

Two neural dynamics approaches for computing system of time-varying nonlinear equations

(2020) Xiuchun Xiao et al.   NEUROCOMPUTING

A parallel computing method based on zeroing neural networks for time-varying complex-valued matrix Moore-Penrose inversion

(2020) Xiuchun Xiao et al.   INFORMATION SCIENCES

Modified Newton integration algorithm with noise suppression for online dynamic nonlinear optimization

(2020) Haoen Huang et al.   NUMERICAL ALGORITHMS

A Data-Driven Cyclic-Motion Generation Scheme for Kinematic Control of Redundant Manipulators

(2020) Zhengtai Xie et al.   IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY

A noise-suppressing Newton-Raphson iteration algorithm for solving the time-varying Lyapunov equation and robotic tracking problems

(2020) Guancheng Wang et al.   INFORMATION SCIENCES

Lyapunov-Equation-Based Stability Analysis for Switched Linear Systems and Its Application to Switched Adaptive Control

(2020) Shuai Yuan et al.   IEEE TRANSACTIONS ON AUTOMATIC CONTROL

Dual Heuristic Programming for Optimal Control of Continuous-Time Nonlinear Systems Using Single Echo State Network

(2020) Chong Liu et al.   IEEE Transactions on Cybernetics

Performance Benefits of Robust Nonlinear Zeroing Neural Network for Finding Accurate Solution of Lyapunov Equation in Presence of Various Noises

(2019) Lin Xiao et al.   IEEE Transactions on Industrial Informatics

New Zeroing Neural Network Models for Solving Nonstationary Sylvester Equation With Verifications on Mobile Manipulators

(2019) Xiaogang Yan et al.   IEEE Transactions on Industrial Informatics

Modified gradient neural networks for solving the time-varying Sylvester equation with adaptive coefficients and elimination of matrix inversion

(2019) Shan Liao et al.   NEUROCOMPUTING

Image denoising review: From classical to state-of-the-art approaches

(2019) Bhawna Goyal et al.   Information Fusion

Numerical algorithms for solving discrete Lyapunov tensor equation

(2019) Tao Li et al.   JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS

RNN Models for Dynamic Matrix Inversion: A Control-Theoretical Perspective

(2018) Long Jin et al.   IEEE Transactions on Industrial Informatics

Power-Type Varying-Parameter RNN for Solving TVQP Problems: Design, Analysis, and Applications

(2018) Zhijun Zhang et al.   IEEE Transactions on Neural Networks and Learning Systems

Noise-Tolerant ZNN Models for Solving Time-Varying Zero-Finding Problems: A Control-Theoretic Approach

(2017) Long Jin et al.   IEEE TRANSACTIONS ON AUTOMATIC CONTROL

Finite-time solution to nonlinear equation using recurrent neural dynamics with a specially-constructed activation function

(2015) Lin Xiao et al.   NEUROCOMPUTING

Accelerating a Recurrent Neural Network to Finite-Time Convergence for Solving Time-Varying Sylvester Equation by Using a Sign-Bi-power Activation Function

(2012) Shuai Li et al.   NEURAL PROCESSING LETTERS

Improved gradient-based neural networks for online solution of Lyapunov matrix equation

(2011) Chenfu Yi et al.   INFORMATION PROCESSING LETTERS

Sliding mode control: A survey with applications in math

(2010) Alessandro Pisano et al.   MATHEMATICS AND COMPUTERS IN SIMULATION