Results 131 to 140 of about 12,279 (188)

Improving performance of electric vehicle drive system based a five-phase PMSM under fault using ANN and MPC. [PDF]

Sci Rep
Hassan AM, Metwally ME.
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Backstepping and adaptive backstepping control on robotic ARM

2015 International Conference on Control Communication & Computing India (ICCC), 2015
Robotic arm is extensively used in applications that requires high precision and accuracy such as biomedical and laser treatments. Backstepping and adaptive backstepping are implemented on the system. In this paper, the parameters of the robotic arm are assumed to be initially unknown.
Mohammed R. Junaid, Laila M. Beebi, C.R. Ashima   +2 more
openaire   +1 more source

Backstepping-based adaptive PID control

IEE Proceedings - Control Theory and Applications, 2002
This paper addresses analysis and design issues in adaptive PID control for linear second-order minimal phase processes using the backstepping algorithm. The first step consists in adding an integral action to the basic backstepping algorithm to obtain a zero static error..
A.R. Benaskeur, A. Desbiens
openaire   +1 more source

Adaptive observer backstepping control using neural networks

IEEE Transactions on Neural Networks, 2001
This paper extends the application of neurocontrol approaches to a new class of nonlinear systems diffeomorphic to output feedback nonlinear systems with unmeasured states. A neural-based adaptive observer is introduced for state estimation as well as system identification using only output measurements during online operation. System identification is
J Y, Choi, J A, Farrell
openaire   +2 more sources

ADAPTIVE BACKSTEPPING CONTROL OF UNCERTAIN LORENZ SYSTEM

International Journal of Bifurcation and Chaos, 2001
In this paper, we consider the problem of controlling chaos in the well-known Lorenz system. Firstly we show that the Lorenz system can be transformed into a kind of nonlinear system in the so-called general strict-feedback form. Then, adaptive backstepping design is used to control the Lorenz system with three key parameters unknown.
Wang, C., Ge, S.S.
openaire   +1 more source

Adaptive Backstepping Control

2008
Recursive design in this book is composed of some simple basic steps. They are referred to as “backstepping designs” because they step back toward the control input starting with a scalar equation. This chapter reviews basic backstepping tools for state feedback control and output feedback control. To easily grasp the design and analysis procedures, we
Jing Zhou, Changyun Wen
openaire   +1 more source

Decentralized adaptive control using integrator backstepping

Automatica, 1997
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wen, Changyun, Soh, Yeng Chai
openaire   +2 more sources

Adaptive Backstepping Control

2007
Adaptive backstepping algorithms for a class of nonlinear continuous uncertain processes with disturbances are considered. Sliding mode control using a combined adaptive backstepping sliding mode control algorithm is also studied. The algorithms follow a systematic procedure for the design of adaptive control laws for the output of observable minimum ...
Ali Jafari Koshkouei, Russell E. Mills, Alan S. I. Zinober   +2 more
openaire   +1 more source

Adaptive Backstepping Control for Flight Simulator

First International Conference on Innovative Computing, Information and Control - Volume I (ICICIC'06), 2006
The flight simulator is a kind of servo system with uncertainties and disturbances. To obtain high performance and good robustness for the flight simulator, we present an adaptive Backstepping controller, which is robust to the parameter uncertainties and load disturbances.
null Qingwei Wang, null Zhenghua Liu, null Lianjie Er   +2 more
openaire   +1 more source

Adaptive backstepping control of nonlinear systems

2019 Chinese Control And Decision Conference (CCDC), 2019
In this paper, a novel adaptive backstepping control scheme is proposed for a class of nonlinear systems with unknown disturbances. A new adaptive disturbance approximation algorithm is proposed to estimate unknown compound disturbances, including external disturbances and system uncertainties.
Xia Chen, Qiang Zhang, Subing Liu
openaire   +1 more source