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An adaptive fuzzy sliding-mode controller

IEEE Transactions on Industrial Electronics, 1998
This paper deals with a new adaptive fuzzy sliding-mode controller and its application to a robot manipulator arm. The theory for this approach and for the heuristics-based linguistic adaptation is presented, and a mathematical description is derived. Furthermore, an application of this adaptive controller for a two-link robot arm is shown.
R. G. Berstecher, R. Palm, H. Unbehauen
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Adaptive seeking sliding mode control

2006 American Control Conference, 2006
This paper proposes a new sliding mode design concept, namely adaptive seeking sliding mode control for a class of nonlinear systems. While reserving the properties of the sliding mode control, like insensitivity to parameter variations and complete rejection of disturbances, adaptive seeking sliding mode control offers a promising robust sliding mode ...
null Hai Yu, U. Ozguner
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Dynamic adaptive sliding modes controller

1997 European Control Conference (ECC), 1997
In this paper, we propose a new adaptive control scheme for a large class of single-input single-output nonlinear uncertain systems in order to track bounded and smooth trajectories. This scheme is based on adaptive sliding-mode techniques.
T. Ahmed-Ali, F. Lamnabhi-Lagarrigue
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Adaptive sliding mode control approach

Transactions of the Institute of Measurement and Control, 2016
The main goal of the present research is to deal with two non-identical hyperchaotic master–slave systems based on an efficient adaptive sliding mode control algorithm, namely the adaptive sliding mode control approach. As long as both non-identical systems are synchronized, the systems mentioned need to be handled through the proposed control ...
Mahmoud Shahi, Mehdi Fallah Kazemi
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Adaptive parallel fractional sliding mode control

International Journal of Adaptive Control and Signal Processing, 2021
SummaryFractional sliding mode schemes possess the ability of compensating a large sort of continuous but not necessarily integer‐order differentiable disturbances; however, the adjustment of the control parameters is usually difficult and is based on a heuristic process.
Aldo Jonathan Muñoz‐Vázquez   +2 more
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Adaptive Robust Control: Adaptive Fuzzy Sliding Mode Control Technique

2021
In this chapter, to attenuate the chattering phenomenon, the discontinuous term of the controllers in Chap. 5 is replaced by single-input single-output (SISO) radial basis function neural networks (RBFNNs), which are non-linear and continuous functions, thus resulting in adaptive neural sliding mode control (ANSMC). And, to relax the demands of knowing
Nardênio Almeida Martins   +1 more
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High‐order sliding mode control design based on adaptive terminal sliding mode

International Journal of Robust and Nonlinear Control, 2011
SUMMARYHigh‐order sliding mode control techniques are proposed for uncertain nonlinear SISO systems with bounded uncertainties based on two different terminal sliding mode approaches. The tracking error of the output converges to zero in finite time by designing a terminal sliding mode controller. In addition, the adaptive control method is employed to
Tang, W. Q., Cai, Y. L.
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Adaptive Sliding Mode Control

2013
The main obstacles for application of Sliding Mode Control are two interconnected phenomena: chattering and high activity of control action. It is well known that the amplitude of chattering is proportional to the magnitude of a discontinuous control. These two problems can be handled simultaneously if the magnitude is reduced to a minimal admissible ...
Vadim I. Utkin, Alexander S. Poznyak
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Adaptive Sliding Mode Control

2002
Traditionally, adaptive control is applied to dynamic systems that have constant or slowly-varying, uncertain or unknown parameters, such as, manipulator payloads. In the presence of changing plant dynamics, adaptive control design inherently adjusts control system parameters. Adaptive SMC is a specialized form of adaptive control algorithms that falls
Rush D. Robinett   +6 more
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Adaptive Sliding Mode Spacecraft Attitude Control

Volume 2: Dynamic Modeling and Diagnostics in Biomedical Systems; Dynamics and Control of Wind Energy Systems; Vehicle Energy Management Optimization; Energy Storage, Optimization; Transportation and Grid Applications; Estimation and Identification Methods, Tracking, Detection, Alternative Propulsion Systems; Ground and Space Vehicle Dynamics; Intelligent Transportation Systems and Control; Energy Harvesting; Modeling and Control for Thermo-Fluid Applications, IC Engines, Manufacturing, 2014
An adaptive sliding mode spacecraft attitude controller is derived in this paper. It has the advantage of not requiring knowledge of the inertia of the spacecraft, and rejecting unexpected external disturbances, with global asymptotic position and velocity tracking.
Yizhou Wang, Xu Chen, Masayoshi Tomizuka
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