Physical Implementation of a Tunable Memristor-based Chua's Circuit | 0 | 0.34 | 2022 |
Memristor Neural Networks for Linear and Quadratic Programming Problems | 0 | 0.34 | 2022 |
Oscillatory Circuits With a Real Non-Volatile Stanford Memristor Model | 0 | 0.34 | 2022 |
Unfolding Nonlinear Dynamics in Analogue Systems With Mem-Elements | 0 | 0.34 | 2021 |
Transient Control In Targeting Multistable Dynamics Of A Memristor Circuit | 0 | 0.34 | 2021 |
Input design for controlling dynamics in a second-order memristive circuit | 0 | 0.34 | 2020 |
Targeting Multistable Dynamics in a Second-Order Memristor Circuit | 0 | 0.34 | 2020 |
Nonlinear Networks With Mem-Elements: Complex Dynamics via Flux–Charge Analysis Method | 0 | 0.34 | 2020 |
Control Design For Targeting Dynamics Of Memristor Murali-Lakshmanan-Chua Circuit | 0 | 0.34 | 2019 |
Complex Dynamics in Arrays of Memristor Oscillators via the Flux-Charge Method. | 0 | 0.34 | 2018 |
Flux-Charge Description of Circuits With Non-Volatile Switching Memristor Devices. | 0 | 0.34 | 2018 |
Harmonic Balance Method To Analyze Bifurcations In Memristor Oscillatory Circuits | 0 | 0.34 | 2018 |
Stability of memristor neural networks with delays operating in the flux-charge domain. | 2 | 0.37 | 2018 |
Memristor Circuits: Pulse Programming via Invariant Manifolds. | 2 | 0.50 | 2018 |
New Conditions for Global Asymptotic Stability of Memristor Neural Networks. | 4 | 0.38 | 2018 |
Multistability of delayed neural networks with hard-limiter saturation nonlinearities. | 2 | 0.36 | 2018 |
Memristor Circuits: Bifurcations without Parameters. | 7 | 0.71 | 2017 |
Synchronization between two chaotic memristor circuits via the flux-charge analysis method | 0 | 0.34 | 2017 |
Convergence and Multistability of Nonsymmetric Cellular Neural Networks With Memristors. | 14 | 0.50 | 2017 |
Memristor standard cellular neural networks computing in the flux-charge domain. | 7 | 0.44 | 2017 |
Memristor Circuits: Flux - Charge Analysis Method. | 13 | 0.67 | 2016 |
Nonsmooth Neural Network for Convex Time-Dependent Constraint Satisfaction Problems. | 8 | 0.42 | 2016 |
Discontinuous Neural Networks for Finite-Time Solution of Time-Dependent Linear Equations. | 18 | 0.59 | 2016 |
Complete stability of feedback CNNs with dynamic memristors and second-order cells | 5 | 0.41 | 2016 |
Long transient oscillations in a class of cooperative cellular neural networks | 3 | 0.43 | 2015 |
Necessary and sufficient condition for multistability of neural networks evolving on a closed hypercube. | 5 | 0.45 | 2014 |
Convergent Dynamics of Nonreciprocal Differential Variational Inequalities Modeling Neural Networks | 7 | 0.46 | 2013 |
Łojasiewicz inequality and exponential convergence of the full-range model of CNNs | 2 | 0.38 | 2012 |
Limit Set Dichotomy and Multistability for a Class of Cooperative Neural Networks With Delays. | 17 | 0.64 | 2012 |
A study on semiflows generated by cooperative full-range CNNs | 3 | 0.38 | 2012 |
Further results on convergence of cooperative standard cellular neural networks | 2 | 0.46 | 2011 |
Limit Set Dichotomy and Convergence of Cooperative Piecewise Linear Neural Networks. | 14 | 0.78 | 2011 |
Comparison of convergence and stability properties for the state and output solutions of neural networks | 0 | 0.34 | 2011 |
Limit Set Dichotomy And Convergence Of Semiflows Defined By Cooperative Standard Cnns | 7 | 0.73 | 2010 |
A note on the dichotomy of limit sets for cooperative CNNs with delays | 2 | 0.51 | 2010 |
Common asymptotic behavior of solutions and almost periodicity for discontinuous, delayed, and impulsive neural networks. | 41 | 1.44 | 2010 |
Set-Valued Derivative And Lyapunov Method For Full-Range Cellular Neural Networks | 0 | 0.34 | 2009 |
Extended LaSalle's invariance principle for full-range cellular neural networks | 1 | 0.36 | 2009 |
Convergence Of A Subclass Of Cohen-Grossberg Neural Networks Via The Lojasiewicz Inequality | 3 | 0.37 | 2008 |
On The Margin Of Complete Stability For A Class Of Cellular Neural Networks | 1 | 0.36 | 2008 |
On global exponential stability of standard and full-range CNNs | 12 | 0.71 | 2008 |
Lyapunov Method and Convergence of the Full-Range Model of CNNs | 22 | 0.92 | 2008 |
Global Consistency Of Decisions And Convergence Of Competitive Cellular Neural Networks | 0 | 0.34 | 2007 |
A Study On Convergence Of Competitive Cnns | 0 | 0.34 | 2007 |
M-Matrices And Global Convergence Of Discontinuous Neural Networks | 25 | 1.02 | 2007 |
Dynamical Analysis of Full-Range Cellular Neural Networks by Exploiting Differential Variational Inequalities | 23 | 1.17 | 2007 |
The Lojasiewicz Exponent At An Equilibrium Point Of A Standard Cnn Is 1/2 | 5 | 0.52 | 2006 |
Robustness Of Convergence In Finite Time For Linear Programming Neural Networks | 11 | 0.65 | 2006 |
Full-range cellular neural networks and differential variational inequalities | 1 | 0.36 | 2006 |
Convergence Of Neural Networks For Programming Problems Via A Nonsmooth Lojasiewicz Inequality | 60 | 2.17 | 2006 |