Results 271 to 280 of about 1,328,506 (341)
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Multivariable model-reference adaptive control
1988., IEEE International Symposium on Circuits and Systems, 2003An algorithm is presented for a discrete model-reference adaptive controller for a system, in which the number of inputs is equal to the number of outputs. This controller, an extension of a single-input scheme due to R. Lozano and Y.D. Landau (1981), provides correct tracking of reference model outputs by plant outputs, together with freedom of choice
P. Murdoch, R.A. Salman
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IEEE transactions on industrial electronics (1982. Print), 2018
This paper designs a simple model reference adaptive control based speed controller (MRAC-SC) for a surface-mounted permanent magnet synchronous motor drive.
A. Nguyen +3 more
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This paper designs a simple model reference adaptive control based speed controller (MRAC-SC) for a surface-mounted permanent magnet synchronous motor drive.
A. Nguyen +3 more
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Alternative Model Reference Adaptive Control
AIAA Guidance, Navigation, and Control Conference, 2010This paper introduces a provably stable alternative indirect formulation to the nowclassical Model Reference Adaptive Control (MRAC) architecture. The proposed statefeedback design is developed for generic multi-input multi-output dynamical systems with matched uncertainties.
Jason Levin +2 more
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Tube model reference adaptive control
Automatica, 2013By using the concept of on-line goal adaptation, we develop a new paradigm of performance shaping in MRAC. The general idea is to replace the single reference model generated trajectory in classical adaptive design with a tube reference model. Two alternative adaptive control schemes that lead to tractable design formulations are developed in which the
Boris Mirkin, Per-Olof Gutman
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Combined/Composite Model Reference Adaptive Control
IEEE Transactions on Automatic Control, 2009This technical note introduces a provably stable state-feedback design modification for combined/composite adaptive control of multi-input multi-output dynamical systems with matched uncertainties. The proposed design methodology is applied to control longitudinal dynamics of an aerial vehicle.
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IEEE transactions on industrial electronics (1982. Print), 2019
This paper studies the practical use of discrete-time direct adaptive control in a high-precision inertially stabilized platform's turbulence isolation system for the purpose of enhancing isolation performance.
Deng Ke +3 more
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This paper studies the practical use of discrete-time direct adaptive control in a high-precision inertially stabilized platform's turbulence isolation system for the purpose of enhancing isolation performance.
Deng Ke +3 more
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Generalized Model Reference Adaptive Control by Means of Global HOSM Differentiators
IEEE Transactions on Automatic Control, 2019In this paper, we combine a global differentiator based on higher-order sliding modes (HOSM) and dynamic gains with classical model reference adaptive control (MRAC) schemes to solve the relevant and yet open problem of trajectory tracking via output ...
T. R. Oliveira +2 more
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Fuzzy model-reference adaptive control
Proceedings of 1994 33rd IEEE Conference on Decision and Control, 1995This paper proposes a fuzzy model-reference adaptive control (fuzzy-MRAC) to deal with controlling a plant with unknown parameters which are dependent on known variables. The proposed method uses the fuzzy basis function expansion (FBFE) to represent the unknown parameters and change the identification problem from identifying the original unknown ...
Tang-Kai Yin, C. S. George Lee
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Composite anti-disturbance model reference adaptive control for switched systems
Information Sciences, 2019This paper investigates the problem of the composite anti-disturbance model reference adaptive control for switched systems with parametric uncertainties and multiple types of disturbances.
Jing Xie, D. Yang, Jun Zhao
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Fuzzy model reference adaptive control
IEEE Transactions on Fuzzy Systems, 2002This paper investigates a fuzzy model reference adaptive controller (FMRAC) for continuous-time multiple-input-multiple-output (MIMO) nonlinear systems. The proposed adaptive scheme uses a Takagi-Seguno (TS) fuzzy adaptive system, which allows for the inclusion of a priori information in terms of qualitative knowledge about the plant operating points ...
N. Golea, A. Golea, K. Benmahammed
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