A Comparative study of Linear and Nonlinear Control Schemes for AC Induction Machines

2018 ◽  
Author(s):  
Zahid Ullah ◽  
Irfan Sami ◽  
Rafiq Asghar ◽  
Babar Azeem ◽  
S. M. Ali ◽  
...  
Keyword(s):  
Nonlinear Control ◽  
Comparative Study ◽  
Induction Machines ◽  
Control Schemes ◽  
Linear And Nonlinear

Comparative Study of Optimal Nonlinear Control Schemes for Hanging Mass Actuated by Uncertain Pneumatic Muscle

2021 ◽  
Author(s):  
Musaab Esam Sadiq ◽  
Amjad Jaleel Humaidi ◽  
Saleem Khalefa Kadhim ◽  
Abdulkareem Sh. Mahdi ◽  
Ahmed Alkhayyat ◽  
...  
Keyword(s):  
Nonlinear Control ◽  
Comparative Study ◽  
Pneumatic Muscle ◽  
Control Schemes

scholarly journals Robust Synchronization of Delayed Chaotic FitzHugh-Nagumo Neurons under External Electrical Stimulation

2012 ◽  
Vol 2012 ◽  
pp. 1-11 ◽  
Author(s):  
Muhammad Rehan ◽  
Keum-Shik Hong
Keyword(s):  
Electrical Stimulation ◽  
Nonlinear Control ◽  
Control Law ◽  
Input Control ◽  
Control Schemes ◽  
Multiple Input ◽  
Cognitive Diseases ◽  
Single Input ◽  
Error Dynamics ◽  
Nonlinear Control Law

Synchronization of chaotic neurons under external electrical stimulation (EES) is studied in order to understand information processing in the brain and to improve the methodologies employed in the treatment of cognitive diseases. This paper investigates the dynamics of uncertain coupled chaotic delayed FitzHugh-Nagumo (FHN) neurons under EES for incorporated parametric variations. A global nonlinear control law for synchronization of delayed neurons with known parameters is developed. Based on local and global Lipschitz conditions, knowledge of the bounds on the neuronal states, the Lyapunov-Krasovskii functional, and theL2gain reduction, a less conservative local robust nonlinear control law is formulated to address the problem of robust asymptotic synchronization of delayed FHN neurons under parametric uncertainties. The proposed local control law guarantees both robust stability and robust performance and provides theL2bound for uncertainty rejection in the synchronization error dynamics. Separate conditions for single-input and multiple-input control schemes for synchronization of a wide class of FHN systems are provided. The results of the proposed techniques are verified through numerical simulations.

A comparative study of PID and neuro-fuzzy based control schemes for a 6-DoF robotic arm

2018 ◽  
Vol 35 (5) ◽  
pp. 5317-5327
Author(s):  
Sachin Srivastava ◽  
Aiswarya P.G. ◽  
Monika Gupta ◽  
Nikhilesh Prasannakumar ◽  
Ashank Rudola ◽  
...  
Keyword(s):  
Comparative Study ◽  
Robotic Arm ◽  
Neuro Fuzzy ◽  
Control Schemes

Linear and Nonlinear Control Techniques for a Three-Phase Three-Level NPC Boost Rectifier

2006 ◽  
Vol 53 (6) ◽  
pp. 1908-1918 ◽  
Author(s):  
Loubna Yacoubi ◽  
Kamal Al-Haddad ◽  
Louis-A. Dessaint ◽  
Farhat Fnaiech
Keyword(s):  
Nonlinear Control ◽  
Control Techniques ◽  
Three Phase ◽  
Linear And Nonlinear ◽  
Boost Rectifier

scholarly journals A Comparative Study: Change Detection and Querying Dynamic XML Documents

2015 ◽  
Vol 5 (4) ◽  
pp. 840 ◽  
Author(s):  
Vijay R Sonawane ◽  
D.R. Rao
Keyword(s):  
Comparative Analysis ◽  
Comparative Study ◽  
Change Detection ◽  
Version Management ◽  
Xml Documents ◽  
Efficient Management ◽  
Control Schemes

<span>The efficient management of the dynamic XML documents is a complex area of research. The changes and size of the XML documents throughout its lifetime are limitless. Change detection is an important part of version management to identify difference between successive versions of a document. Document content is continuously evolving. Users wanted to be able to query previous versions, query changes in documents, as well as to retrieve a particular document version efficiently. In this paper we provide comprehensive comparative analysis of various control schemes for change detection and querying dynamic XML documents.</span>

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