Name
Papers
Collaborators
MAURO FORTI
63
38
Citations 
PageRank 
Referers 
398
36.80
449
Referees 
References 
482
569
Search Limit
100482
Title
Citations
PageRank
Year
Physical Implementation of a Tunable Memristor-based Chua's Circuit00.342022
Memristor Neural Networks for Linear and Quadratic Programming Problems00.342022
Oscillatory Circuits With a Real Non-Volatile Stanford Memristor Model00.342022
Unfolding Nonlinear Dynamics in Analogue Systems With Mem-Elements00.342021
Transient Control In Targeting Multistable Dynamics Of A Memristor Circuit00.342021
Input design for controlling dynamics in a second-order memristive circuit00.342020
Targeting Multistable Dynamics in a Second-Order Memristor Circuit00.342020
Nonlinear Networks With Mem-Elements: Complex Dynamics via Flux–Charge Analysis Method00.342020
Control Design For Targeting Dynamics Of Memristor Murali-Lakshmanan-Chua Circuit00.342019
Complex Dynamics in Arrays of Memristor Oscillators via the Flux-Charge Method.00.342018
Flux-Charge Description of Circuits With Non-Volatile Switching Memristor Devices.00.342018
Harmonic Balance Method To Analyze Bifurcations In Memristor Oscillatory Circuits00.342018
Stability of memristor neural networks with delays operating in the flux-charge domain.20.372018
Memristor Circuits: Pulse Programming via Invariant Manifolds.20.502018
New Conditions for Global Asymptotic Stability of Memristor Neural Networks.40.382018
Multistability of delayed neural networks with hard-limiter saturation nonlinearities.20.362018
Memristor Circuits: Bifurcations without Parameters.70.712017
Synchronization between two chaotic memristor circuits via the flux-charge analysis method00.342017
Convergence and Multistability of Nonsymmetric Cellular Neural Networks With Memristors.140.502017
Memristor standard cellular neural networks computing in the flux-charge domain.70.442017
Memristor Circuits: Flux - Charge Analysis Method.130.672016
Nonsmooth Neural Network for Convex Time-Dependent Constraint Satisfaction Problems.80.422016
Discontinuous Neural Networks for Finite-Time Solution of Time-Dependent Linear Equations.180.592016
Complete stability of feedback CNNs with dynamic memristors and second-order cells50.412016
Long transient oscillations in a class of cooperative cellular neural networks30.432015
Necessary and sufficient condition for multistability of neural networks evolving on a closed hypercube.50.452014
Convergent Dynamics of Nonreciprocal Differential Variational Inequalities Modeling Neural Networks70.462013
Łojasiewicz inequality and exponential convergence of the full-range model of CNNs20.382012
Limit Set Dichotomy and Multistability for a Class of Cooperative Neural Networks With Delays.170.642012
A study on semiflows generated by cooperative full-range CNNs30.382012
Further results on convergence of cooperative standard cellular neural networks20.462011
Limit Set Dichotomy and Convergence of Cooperative Piecewise Linear Neural Networks.140.782011
Comparison of convergence and stability properties for the state and output solutions of neural networks00.342011
Limit Set Dichotomy And Convergence Of Semiflows Defined By Cooperative Standard Cnns70.732010
A note on the dichotomy of limit sets for cooperative CNNs with delays20.512010
Common asymptotic behavior of solutions and almost periodicity for discontinuous, delayed, and impulsive neural networks.411.442010
Set-Valued Derivative And Lyapunov Method For Full-Range Cellular Neural Networks00.342009
Extended LaSalle's invariance principle for full-range cellular neural networks10.362009
Convergence Of A Subclass Of Cohen-Grossberg Neural Networks Via The Lojasiewicz Inequality30.372008
On The Margin Of Complete Stability For A Class Of Cellular Neural Networks10.362008
On global exponential stability of standard and full-range CNNs120.712008
Lyapunov Method and Convergence of the Full-Range Model of CNNs220.922008
Global Consistency Of Decisions And Convergence Of Competitive Cellular Neural Networks00.342007
A Study On Convergence Of Competitive Cnns00.342007
M-Matrices And Global Convergence Of Discontinuous Neural Networks251.022007
Dynamical Analysis of Full-Range Cellular Neural Networks by Exploiting Differential Variational Inequalities231.172007
The Lojasiewicz Exponent At An Equilibrium Point Of A Standard Cnn Is 1/250.522006
Robustness Of Convergence In Finite Time For Linear Programming Neural Networks110.652006
Full-range cellular neural networks and differential variational inequalities10.362006
Convergence Of Neural Networks For Programming Problems Via A Nonsmooth Lojasiewicz Inequality602.172006
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