نتایج جستجو برای: nonlinear dynamic systems

تعداد نتایج: 1679027  

Journal: :Journal of Nonlinear Sciences and Applications 2017

Journal: :International Journal of Power Electronics and Drive Systems (IJPEDS) 2021

Journal: :Journal of Computing and Information Science in Engineering 2022

Abstract Surrogate models play a vital role in overcoming the computational challenge designing and analyzing nonlinear dynamic systems, especially presence of uncertainty. This paper presents comparative study different surrogate modeling techniques for systems. Four methods, namely, Gaussian process (GP) regression, long short-term memory (LSTM) network, convolutional neural network (CNN) wit...

2013

Computed torque controller (CTC) is a significant nonlinear controller under condition of partly uncertain dynamic parameters of system. This controller is used to control of h ighly nonlinear systems especially for robot manipulators, because this controller is a robust and stable. Conversely, computed torque controller is used in many applications; it has an important drawback namely; nonline...

2014
Iman Nazari

Sliding mode controller (SMC) is a significant nonlinear controller under condition of partly uncertain dynamic parameters of system. This controller is used to control of highly nonlinear systems especially for robot manipulators, because this controller is a robust and stable. Conversely, pure sliding mode controller is used in many applications; it has two important drawbacks namely; chatter...

Journal: :international journal of advanced design and manufacturing technology 0
davoud naderi soheil ganjefar mohamad mosadeghzad

in this research optimal reconfiguration strategy of the improved srr reconfigurable mobile robot based on force-angle stability measure has been designed using genetic algorithm. path tracking nonlinear controller which keeps robot’s maximum stability has been designed and simulated in matlab. motion equations of the robot have been derived in parametric form by means of newton- euler, lagrang...

2013
M.Rajalakshmi S.Kalyani

This paper discusses the application of support vector machine in the area of identification of nonlinear dynamical systems. The aim of this paper is to identify suitable model structure for nonlinear dynamic system. In this paper, Adaptive Neuro Fuzzy Inference Systems (ANFIS) and Support Vector Regression (SVR) models are applied for identification of highly nonlinear dynamic process. The res...

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