We present a new stabilization approach for unstable linear plants with long input delay, unknown parameters and disturbance. The predictor-based algorithm providing plant identification and stabilization is proposed....
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We present a new output control approach for a linear plant with input delay and an unknown multiharmonic disturbance acting on the input and the output. To solve this problem, we combine the well-known predictor feed...
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The paper deals with a method for real-time frequency analysis of the electromyogram. The method has been proposed for usage in controlsystems of advanced robotics for different applications. The method includes robu...
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The paper describes an adaptive control of MIMO (multi-input multi-output) systems under parametric uncertainty. A control algorithm consecutive compensator for double channel plant is analyzed. Applicability conditio...
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ISBN:
(纸本)9781479952922
The paper describes an adaptive control of MIMO (multi-input multi-output) systems under parametric uncertainty. A control algorithm consecutive compensator for double channel plant is analyzed. Applicability conditions of control law for foregoing plant are proposed. Efficiency of control scheme is illustrated by simulation results.
We present a new output control approach for a linear plant with input delay and an unknown multiharmonic disturbance acting on the input and the output. To solve this problem, we combine the well-known predictor feed...
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We present a new output control approach for a linear plant with input delay and an unknown multiharmonic disturbance acting on the input and the output. To solve this problem, we combine the well-known predictor feedback approach with the state observer and adaptive scheme that identifies the frequency of the disturbance. Compared to the existing approaches, the structure of our adaptive scheme is the simplest and the results apply to plants that are unstable, non-minimum phase, and have an arbitrary relative degree.
We present a new stabilization approach for nonlinear plants with a long input delay. The stabilization problem is complicated by the influence of an uncertain biased sinusoidal disturbance. The problem of control des...
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We present a new stabilization approach for nonlinear plants with a long input delay. The stabilization problem is complicated by the influence of an uncertain biased sinusoidal disturbance. The problem of control design is solved with using measurable state variables. The adaptive scheme allows to identify the frequency and other parameters of the external disturbance that are used in a rejection loop. The main result provides delay compensation for a class of nonlinear systems and asymptotic stability for the closed-loop system..
We present a new stabilization approach for unstable linear plants with long input delay, unknown parameters and disturbance. The predictor-based algorithm providing plant identification and stabilization is proposed....
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We present a new stabilization approach for unstable linear plants with long input delay, unknown parameters and disturbance. The predictor-based algorithm providing plant identification and stabilization is proposed. Also the extension is considered with estimation and cancellation of an unknown disturbance. A numerical examples are given to illustrate the efficiency of our adaptive controller.
The paper deals with a method for real-time frequency analysis of the electromyogram. The method has been proposed for usage in controlsystems of advanced robotics for different applications. The method includes robu...
The paper deals with a method for real-time frequency analysis of the electromyogram. The method has been proposed for usage in controlsystems of advanced robotics for different applications. The method includes robust real-time frequency estimation with preliminary usage of bandwidth filters. The method is easy to program and requires no additional resources. The paper presents an example of experimental approbation of proposed method.
In the paper an output control approach for a class of nonlinear MIMO systems is presented. A multicopter with four symmetrical rotors, i.e. a quadcopter, is chosen to illustrate effectiveness of the proposed adaptive...
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ISBN:
(纸本)9781479959020
In the paper an output control approach for a class of nonlinear MIMO systems is presented. A multicopter with four symmetrical rotors, i.e. a quadcopter, is chosen to illustrate effectiveness of the proposed adaptive control approach based on the high-gain principle so-called “consecutive compensator”. Output controller is designed by decomposition of the mathematical model on two parts. The first one is a static MIMO transformation (more precisely, in the considering case a system of linear equations which relates lift forces generated by the actuators and virtual control inputs). The second one is a few SISO channels. Such trick allows to design a control law in two steps. At the first step we design virtual controls for each SISO channel. Here we apply the mentioned systematic approach “consecutive compensator”. And then after the inverse MIMO transformation we get a set of real lift forces.
We present a new stabilization approach for a linear plant with the input delay and an unknown multisinusoidal disturbance affected the input and the output. To solve this problem, we combine the well-known predictor ...
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ISBN:
(纸本)9781479974108
We present a new stabilization approach for a linear plant with the input delay and an unknown multisinusoidal disturbance affected the input and the output. To solve this problem, we combine the well-known predictor feedback approach with the state observer and adaptive scheme that identifies the frequency of the disturbance. Compared to the existing approaches, our adaptive scheme is applicable to plants that are unstable, non-minimum phase, and have an arbitrary relative degree.
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