Results 31 to 40 of about 274,624 (312)
Real-Time Output Feedback Neurolinearization [PDF]
Iranian Journal of Chemistry & Chemical Engineering, 2009 An adaptive input-output linearization method for general nonlinear systems is developed without using states of the system. Another key feature of this structure is the fact that, it does not need model of the system. In this scheme, neurolinearizer has
Rabeheh Bahreini +1 more
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IEEE Access, 2021 In this brief, we propose a new neuro-fuzzy reinforcement learning-based control (NFRLC) structure that allows autonomous underwater vehicles (AUVs) to follow a desired trajectory in large-scale complex environments precisely.
Omid Elhaki +3 more
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Discrete-time output feedback sliding-mode control design for uncertain systems using linear matrix inequalities [PDF]
, 2011 An output feedback-based sliding-mode control design methodology for discrete-time systems is considered in this article. In previous work, it has been shown that by identifying a minimal set of current and past outputs, an augmented system can be ...
Floquet, Thierry +7 more
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The Effect of Written Corrective Feedback on the Accuracy of Output Task and Learning of Target Form [PDF]
Journal of Applied Linguistics, 2010 The effect of error feedback on the accuracy of output task types such as editing task, text reconstruction task, picture cued writing task, and dictogloss task, has not been clearly explored.
Mohammad Reza Hasannejad +1 more
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Robust switched controller design for linear continuous-time systems
Archives of Control Sciences, 2015 In this paper we study a novel approach to the design of a robust switched controller for continuous-time systems described by a novel robust plant model using quadratic stability and multi parameter dependent quadratic stability approaches.
Ilka Adrian, Veselý Vojtech
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Measurement + Control, 2021 Traditional input–output feedback linearization requires full knowledge of system dynamics and assumes no disturbance at the input channel and no system’s uncertainties.
Wameedh Riyadh Abdul-Adheem +3 more
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Output Feedback Learning Control of Constrained Nonlinear Systems
IEEE Access, 2023 This paper explores adaptive neural network output feedback control for a group of output-constrained systems using dynamic cooperative learning. The barrier Lyapunov function is employed to constrain the outputs within the required range. For all agents,
Fei Gao, Weiguang Zhang
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A Decentralized LQR Output Feedback Control for Aero-Engines
Actuators, 2023 Aero-engine control systems generally adopt centralized or distributed control schemes, in which all or most of the tasks of the control system are mapped to a specific processor for processing.
Xiaoxiang Ji +3 more
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Vìsnik Dnìpropetrovsʹkogo Unìversitetu: Serìâ Modelûvannâ, 2017 Получены новые необходимые и достаточные условия разрешимости проблемы синтеза линейной обратной связи по выходу для линейной системы управления. С помощью этих условий проблема синтеза робастного регулятора для линейной системы управления тоже решена ...
V. Ye. Belozyorov
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Preview Control for MIMO Discrete-Time System with Parameter Uncertainty
Mathematics, 2020 We consider the problems of state feedback and static output feedback preview controller (PC) for uncertain discrete-time multiple-input multiple output (MIMO) systems based on the parameter-dependent Lyapunov function and the linear matrix inequality ...
Li Li, Fucheng Liao
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