Results 151 to 160 of about 12,784 (203)

Command filtered adaptive backstepping

Proceedings of the 2010 American Control Conference, 2010
110
Dong, W., Farrell, J. A., Polycarpou, Marios M., Sharma, M., Dong, W., Farrell, J. A., Polycarpou, Marios M., Sharma, M.   +7 more
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Command Filtered Adaptive Backstepping

IEEE Transactions on Control Systems Technology, 2012
Implementation of adaptive backstepping controllers requires analytic calculation of the partial derivatives of certain stabilizing functions. It is well documented that, as the order of a nonlinear system increases, analytic calculation of these derivatives becomes prohibitive.
Dong, W., Farrell, J. A., Polycarpou, Marios M., Djapic, V., Sharma, M., Dong, W., Farrell, J. A., Polycarpou, Marios M., Djapic, V., Sharma, M.   +9 more
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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
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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
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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
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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
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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
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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.
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Adaptive Backstepping Control Using Combined Direct and Indirect Adaptation

Circuits, Systems & Signal Processing, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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REDUCED ORDER ADAPTIVE OBSERVER BACKSTEPPING

IFAC Proceedings Volumes, 2002
Abstract It is the intent of this paper to add to, and improve the existing design tools for nonlinear output feedback systems. Considered here are systems, exhibiting parametric uncertainty, and containing nonlinearities dependent on the output alone.
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