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Optimal time-varying P-controller for a class of uncertain nonlinear systems
by
Gueaieb, Wail
, Suruz Miah, M.
in
Control
/ Control systems
/ Control Theory
/ Controllers
/ Dynamical systems
/ Engineering
/ Euclidean space
/ Feedback control
/ Feedback control systems
/ Gain
/ Lagrange multiplier
/ Mechatronics
/ Noise
/ Nonlinear dynamics
/ Nonlinear systems
/ Optimization
/ Robotics
/ Robust control
/ State feedback
/ Studies
/ Tracking
/ 제어계측공학
2014
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Optimal time-varying P-controller for a class of uncertain nonlinear systems
by
Gueaieb, Wail
, Suruz Miah, M.
in
Control
/ Control systems
/ Control Theory
/ Controllers
/ Dynamical systems
/ Engineering
/ Euclidean space
/ Feedback control
/ Feedback control systems
/ Gain
/ Lagrange multiplier
/ Mechatronics
/ Noise
/ Nonlinear dynamics
/ Nonlinear systems
/ Optimization
/ Robotics
/ Robust control
/ State feedback
/ Studies
/ Tracking
/ 제어계측공학
2014
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Do you wish to request the book?
Optimal time-varying P-controller for a class of uncertain nonlinear systems
by
Gueaieb, Wail
, Suruz Miah, M.
in
Control
/ Control systems
/ Control Theory
/ Controllers
/ Dynamical systems
/ Engineering
/ Euclidean space
/ Feedback control
/ Feedback control systems
/ Gain
/ Lagrange multiplier
/ Mechatronics
/ Noise
/ Nonlinear dynamics
/ Nonlinear systems
/ Optimization
/ Robotics
/ Robust control
/ State feedback
/ Studies
/ Tracking
/ 제어계측공학
2014
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Optimal time-varying P-controller for a class of uncertain nonlinear systems
Journal Article
Optimal time-varying P-controller for a class of uncertain nonlinear systems
2014
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Overview
In this manuscript, an optimal time-varying P-controller is presented for a class of continuous-time underactuated nonlinear systems in the presence of process noise associated with systems’ inputs. This is a state feedback control strategy where the optimization is performed on a time-varying feedback operator (herein called the feedback control gain). The main goal of the current manuscript is to provide a framework for multi-input multi-output nonlinear systems which yields a satisfactory tracking performance based on the optimal time-varying feedback control gain. Unlike other feedback control techniques that perform dynamic linearization of system models, the proposed time-varying Pcontroller provides the full-state feedback control to the original nonlinear system model. Hence, this P-controller guarantees global asymptotic state-tracking. Furthermore, the bounded system’s process noise is taken into consideration to measure the controller’s robustness. The proposed P-controller is tested for its nonlinear trajectory tracking and fixed-point stabilization capabilities with two nonholonomic systems in the presence of input noise.
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