Results 31 to 40 of about 3,514,072 (290)
Optimal periodic output feedback control: a continuous-time approach [PDF]
: This paper addresses the problem of optimal static output feedback control of linear periodic systems. The proposed approach, which allows to deal with both stable and unstable open loop systems, relies on a continuous-time formulation of the control ...
VIGANO', LUCA +8 more
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Full Static Output Feedback Equivalence
We present a constructive solution to the problem of full output feedback equivalence, of linear, minimal, time-invariant systems. The equivalence relation on the set of systems is transformed to another on the set of invertible block Bezout/Hankel ...
Aristotle G. Yannakoudakis
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Sequential Loop Closure Based Adaptive Output Feedback
This paper presents a new, systematic method of synthesizing an output feedback adaptive controller for a class of uncertain, non-square multi-input/multi-output systems. The control design process consists of first designing an inner-loop controller for
Daniel P. Wiese +4 more
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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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Robustness of proper dynamic output feedback for discrete-time singularly perturbed systems
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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Nonlinear Output Feedback Control: An Analysis of Performance and Robustness [PDF]
By considering a non-singular performance cost functional, observer backstepping designs and adaptive observer backstepping designs are compared to high-gain observer designs for an output feedback system and a parametric output feedback system.
Xie, Chengkang
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Real-Time Output Feedback Neurolinearization [PDF]
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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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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Static output-feedback stabilization of discrete-time Markovian jump linear systems: a system augmentation approach [PDF]
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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The Effect of Written Corrective Feedback on the Accuracy of Output Task and Learning of Target Form [PDF]
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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