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The problem of switched static output feedback tracking with output constraints (SSOFTOC) is proposed and solved for the first time.
The Lure plant is controlled by an observer-based feedback tracking controller, designed for the nominal (fault-free) system.
An adaptive output feedback tracking controller for nonholonomic mobile robots is proposed to guarantee that the tracking errors are confined to an arbitrarily small ball.
Without the help of the dead-zone inverse function and by incorporating the implicit function theorem, both the adaptive state feedback tracking controller and the adaptive output feedback tracking controller based on high gain observer are designed by utilizing fuzzy logic systems (FLS) to approximate the appropriate nonlinear control input functions.
An adaptive neural network-based dynamic feedback tracking controller will be developed such that all the states and signals of the closed-loop system are bounded and the trajectory tracking error is as small as possible.
Based on the observer, an output feedback tracking controller is designed such that the mean square of the tracking error converges to an arbitrarily small neighborhood of zero by tuning design parameters.
Similar(11)
We propose an output-feedback tracking controller for uncertain, nonaffine, nonlinear systems.
The main contribution of this paper lies in that a simpler and more effective design procedure of adaptive neural output-feedback tracking controller is proposed for the underlying system which is more general than some existing ones in literature.
The proposed solution implies the use of a special configuration for the mobile robot, in which all the wheels are driven independently, and a control structure which consists of three distinct parts: firstly, a state-feedback tracking controller based on the kinematic model of the mobile robot is derived.
This represents the largest class for which decentralized robust adaptive output-feedback tracking and disturbance attenuation results are currently available.
The problem of decentralized output-feedback tracking with disturbance attenuation is addressed for a new class of large-scale and minimum-phase nonlinear systems.
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