Results 161 to 170 of about 12,784 (203)

Decentralized adaptive control using integrator backstepping

Automatica, 1997
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Wen, Changyun, Soh, Yeng Chai
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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
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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
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Adaptive Sliding Mode Backstepping Control System

2018 Eighth International Conference on Instrumentation & Measurement, Computer, Communication and Control (IMCCC), 2018
In order to solve the problem of stability control of moving mass reentry vehicle, a backstepping sliding mode control law based on standard backstepping control theoryis designed. Taking the perturbation of the aerodynamic parameters as the uncertain factors, the vehicle rolling angle and rolling angular velocity dual-loop sliding mode controllers are
Danni Wang, Tao Chao, Songyan Wang, Ming Yang   +3 more
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Improved backstepping-based adaptive PID control

The Fourth International Conference on Control and Automation, 2003. ICCA. Final Program and Book of Abstracts., 2003
In this paper, an adaptive PID controller for second-order models based on the backstepping approach is presented. The integral action is obtained by adding the integral of the tracking error to the error considered in the first step of the backstepping procedure.
P. Ranger, A. Desbiens
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Adaptive backstepping control using neural networks

Proceedings of the 3rd World Congress on Intelligent Control and Automation (Cat. No.00EX393), 2002
This paper proposes an adaptive backstepping design method for a kind of affine nonlinear system with unknown nonlinearity and/or uncertainty. The neural network is used to approximate the unknown nonlinear function and/or uncertainty in the system.
null Lou Shuntian, null Chen Xinhai, null Zhang Xianda   +2 more
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Robust adaptive backstepping control of uncertain Lorenz system

Chaos: An Interdisciplinary Journal of Nonlinear Science, 2010
In this paper, a novel robust adaptive control method is proposed for controlling the Lorenz chaotic attractor. A new backstepping controller for the Lorenz system based on the Lyapunov stability theorem is proposed to overcome the singularity problem that appeared in using the typical backstepping control method.
Pishkenari, Hossein Nejat, Jalili, Nader, Mahboobi, Seyed Hanif, Alasty, Aria, Meghdari, Ali   +4 more
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Adaptive Backstepping Control of Hysteretic Base-Isolated Structures

Journal of Vibration and Control, 2006
The paper considers a hybrid seismic control system for building structures, which combines a class of passive nonlinear base isolator with an active control system. The objective of the active component is to keep the base displacement relative to the ground, the interstory drift and the absolute acceleration within appropriate ranges.
Pozo, Francesc, Ikhouane, Fayçal, Pujol, Gisela, Rodellar, José   +3 more
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Adaptive backstepping flight control for a mini‐UAV

International Journal of Adaptive Control and Signal Processing, 2012
SUMMARYThe paper presents the design of a mini‐unmanned aerial vehicle (UAV) attitude controller using the backstepping method. Starting from the nonlinear dynamic equations of the mini‐UAV, by using the backstepping method, the authors of this paper obtained the expressions of the elevator, rudder, and aileron deflections, which stabilize the UAV at ...
Lungu, Mihai, Lungu, Romulus
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Composite learning from adaptive backstepping neural network control

Neural Networks, 2017
In existing neural network (NN) learning control methods, the trajectory of NN inputs must be recurrent to satisfy a stringent condition termed persistent excitation (PE) so that NN parameter convergence is obtainable. This paper focuses on command-filtered backstepping adaptive control for a class of strict-feedback nonlinear systems with functional ...
Yongping Pan, Tairen Sun, Yiqi Liu, Haoyong Yu   +3 more
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