Mathematics, 2022 This paper deals with the closed-loop stabilization of a network which consists of a set of coupled hybrid single-input single-output (SISO) subsystems.
Manuel De la Sen
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Static output-feedback stabilization of discrete-time Markovian jump linear systems: a system augmentation approach [PDF]
, 2010 This paper studies the static output-feedback (SOF) stabilization problem for discrete-time Markovian jump systems from a novel perspective. The closed-loop system is represented in a system augmentation form, in which input and gain-output matrices are ...
Lam, James +5 more
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Adaptive output feedback stabilization for nonlinear systems with unknown polynomial-of-output growth rate and sensor uncertainty [PDF]
, 2022 summary:In this paper, the problem of adaptive output feedback stabilization is investigated for a class of nonlinear systems with sensor uncertainty in measured output and a growth rate of polynomial-of-output multiplying an unknown constant in the ...
Lin, Lei, Shen, Yanjun
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Adaptive output feedback control of aircraft flexible modes [PDF]
, 2012 The application of adaptive output feedback augmentative control to the flexible aircraft problem is presented. Experimental validation of control scheme was carried out using a three disk torsional pendulum.
Joel Bordeneuvue Guibe +3 more
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Robustness of proper dynamic output feedback for discrete-time singularly perturbed systems
Advances in Difference Equations, 2017 In this paper, the dynamic output feedback control problem of discrete-time singularly perturbed systems is considered based on the reduced-order technique.
Wei Liu, Yanyan Wang
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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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