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Fractional order tracking control of a disturbed differential mobile robot. [PDF]
Aguilar-Pérez JI +3 more
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Adaptive core-enhanced latent factor model for highly accurate QoS prediction. [PDF]
Ai S, Li P, Fang H, Xia Y.
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Dynamic sensor adaptation based on efferent feedback for adaptive bio-inspired sound source localization. [PDF]
Durstewitz S +6 more
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Sensitivity Reduction by State Derivative Feedback
Journal of Dynamic Systems, Measurement, and Control, 1988This paper shows that the sensitivity of state feedback control systems can be reduced by additional state derivative feedback, for a fixed closed loop eigenstructure. The price of this sensitivity reduction is in general noise response amplification. Two indices which quantify stability robustness and response sensitivity are given for time invariant ...
Haraldsdottir, A. +2 more
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Parametric Jordan form assignment by state-derivative feedback
2015 20th International Conference on Process Control (PC), 2015The paper presents a new explicit and non-redundant parametrization of all state-derivative feedbacks assigning the required Jordan form to the dynamic matrix of the closed loop system. The proposed parametrization can be simply and effectively used for both numerical and symbolic calculations of the state-derivative feedbacks, and also for robust ...
Miloš Schlegel, Königsmarková, Jana
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COMPARATIVE STUDY ON STATE FEEDBACK AND STATE-DERIVATIVE FEEDBACK IN LINEAR TIME INVARIANT SYSTEMS
IFAC Proceedings Volumes, 2007Abstract State feedback is a modern control technique that, amongst diverse applications, is distinguished by its arbitrary pole-placement of a controllable, linear time-invariant system. This benefit brings a series of consequences, such as the stabilization of a system or designing control using one single technique.
José M. Araújo +4 more
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Pole-Placement for Multi-Input Linear Systems by State Feedback or State-Derivative Feedback
Advanced Materials Research, 2012Generalized Wonham controllable canonical forms are introduced to apply to pole placement of state feedback or state derivative feedback. New methods of pole placement of both state feedback and state derivative feedback for multi-input system are proposed.
Zun Hai Gao, Xi Chen Ye
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Robust Simultaneous Stabilization Using Derivative State Feedback
Journal of Computational and Nonlinear Dynamics, 2020Abstract In simultaneous stabilization of continuous time switched linear system models of inertially coupled dynamic systems with bounded persistent external disturbance and internal parameter variations, the generalized proportional integral derivative (PID) controller suffers from a serious drawback.
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IEEE Transactions on Power Electronics, 2004
This paper presents a novel nonlinear speed/position control strategy for the induction motor utilizing exact feedback linearization with state and state derivative feedback. The speed/position and flux control loops utilize nonlinear feedback which eliminates the need for tuning, while ordinary proportional-integral controllers are used to control the
T.K. Boukas, T.G. Habetler
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This paper presents a novel nonlinear speed/position control strategy for the induction motor utilizing exact feedback linearization with state and state derivative feedback. The speed/position and flux control loops utilize nonlinear feedback which eliminates the need for tuning, while ordinary proportional-integral controllers are used to control the
T.K. Boukas, T.G. Habetler
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Asian Journal of Control, 2015
AbstractThis paper addresses the problem of designing anH∞fuzzy state‐ feedback (SF) plus state‐derivative‐feedback (SDF) control system for photovoltaic (PV) systems based on a linear matrix inequality (LMI) approach. The TS fuzzy controller is designed on the basis of the Takagi‐Sugeno (TS) fuzzy model. The sufficient condition is found such that the
Kaewpraek, Nikorn +1 more
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AbstractThis paper addresses the problem of designing anH∞fuzzy state‐ feedback (SF) plus state‐derivative‐feedback (SDF) control system for photovoltaic (PV) systems based on a linear matrix inequality (LMI) approach. The TS fuzzy controller is designed on the basis of the Takagi‐Sugeno (TS) fuzzy model. The sufficient condition is found such that the
Kaewpraek, Nikorn +1 more
openaire +1 more source

