Particle Swarm Optimization Based Sliding Mode Controller for Performance Improvement of Unified Power Quality Controllers Inverters by Mohammad Amin Heidari, Mehdi Nafar, Taher Niknam

“…In the proposed control scheme, the standard sliding mode controller (SMC) is used as a robust nonlinear controller, with the addition of the particle swarm optimization (PSO) algorithm - to determine the optimal parameters of the SMC controller. …”
Get full text

A State-Dependent Impulsive Nonlinear System with Ratio-Dependent Action Threshold for Investigating the Pest-Natural Enemy Model by Ihsan Ullah Khan, Saif Ullah, Ebenezer Bonyah, Basem Al Alwan, Ahmed Alshehri

“…The theoretical analysis developed in the present paper combined with nonlinear controlling measures as well as nonlinear action threshold methods and techniques laid the foundation for the establishment and analysis of other state-dependent feedback control models.…”
Get full text

Design of an Error-Based Adaptive Controller for a Flexible Robot Arm Using Dynamic Pole Motion Approach by Ki-Young Song, Madan M. Gupta, Noriyasu Homma

“…The E-BAC is implanted in a system as a nonlinear controller with two dominant dynamic parameters: the dynamic position feedback and the dynamic velocity feedback. …”
Get full text

A Modified RBF Neuro-Sliding Mode Control Technique for a Grid Connected PMSG Based Variable Speed Wind Energy Conversion System by Rostand Marc Douanla, Godpromesse Kenné, François Béceau Pelap, Armel Simo Fotso

“…The results analysis shows the superiority of the proposed RBF neuro-sliding mode controller compared to a nonlinear controller based on sliding mode control method when the system undergoes parameter uncertainties.…”
Get full text

Hysteresis Nonlinearity Identification Using New Preisach Model-Based Artificial Neural Network Approach by Mohammad Reza Zakerzadeh, Mohsen Firouzi, Hassan Sayyaadi, Saeed Bagheri Shouraki

“…Here a novel neural network approach based on the Preisach model is addressed, provides accurate hysteresis nonlinearity modeling in comparison with the classical Preisach model and can be used for many applications such as hysteresis nonlinearity control and identification in SMA and Piezo actuators and performance evaluation in some physical systems such as magnetic materials. …”
Get full text

A Novel Hyperchaotic Financial System with Sinusoidal Hyperbolic Nonlinearity: From Theoretical Analysis to Adaptive Neural Fuzzy Controller Method by Azwa Abdul Aziz, Mohamad Afendee Mohamed, Aceng Sambas, Sundarapandian Vaıdyanathan, Khaled Benkouider, Seyed Mohamad Hamidzadeh, Muhamad Deni Johansyah

“…Additionally, the simulation includes a comparison between the performance of the nonlinear controller and the adaptive neural fuzzy controller.…”
Get full text

Stabilization by feedback control of a novel stochastic chaotic finance model with time-varying fractional derivatives by Seyfeddine Moualkia, Yang Liu, Jinde Cao

“…Compared to the existing CFMs, the present study proposes a novel type of nonlinear controller for the stabilization of the fractional stochastic CFM, providing a substantial analysis based on the HUS theory and computer simulation results to verify the rapid convergence of the state variables to the origin.…”
Get full text

Backstepping Controller Design for Power Quality Improvement in a Two-Stage Grid-Connected Photovoltaic Systems with LCL Filter by Isaac Fredy Bendé, Etienne Tchoffo Houdji, Guy Bertrand Tchaya, Jean Luc Dit Bouerdjila Nsouandélé, Martin Kamta, null Haman-Djalo

“…To achieve this goal, a control strategy was set up considering the nonlinearity of the dynamic system, and the high dimension of the system model. Thus, a nonlinear controller designed using the backstepping technique is proposed. …”
Get full text