Safe and efficient decision-making and path planning is a challenging problem for autonomous driving in highway because of numerous dynamic vehicles around the ego-vehicle. For ego-vehicle driving on structured roads,...
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The interval models of uncertain plants are frequently used in the field of robust control. In this paper, a novel interval model identification method based on linear programming is proposed. By certain prepossessing...
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ISBN:
(纸本)9781424474264
The interval models of uncertain plants are frequently used in the field of robust control. In this paper, a novel interval model identification method based on linear programming is proposed. By certain prepossessing on the measured data of the plant, the interval model identification problem is transformed into several linear programming problems, which can be easily solved through various algorithms. We have proved that the resultant interval model has a known error bound, provided that certain conditions on the measured data are satisfied. To demonstrate its effectiveness, the proposed method is applied to identify the interval model of a servo system with variant load and inertia.
In this paper, we propose a fast image/video dehazing algorithm based on modified atmospheric veil. For a single image, the coarse atmospheric veil is quickly estimated by the minimum and maximum channels. We take the...
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In this paper, we propose a fast image/video dehazing algorithm based on modified atmospheric veil. For a single image, the coarse atmospheric veil is quickly estimated by the minimum and maximum channels. We take the depth image estimated by the color attenuation prior as the guided image to refine the coarse atmospheric veil and use down sampling technique to speed up the process. In addition, a fast Fourier enhancement method is used to improve the high frequency details. Based on the image dehazing, we design an atmospheric light adjustment strategy and a transmission optimized framework for video dehazing, which can effectively reduce flickering artifacts. Experimental results demonstrate that the proposed algorithm can achieve a very good dehazing effect while keeping a comparable processing speed with state-of-the-art algorithms.
This paper addresses the uniform global asymptotical stability (UGAS) problem for a class of nonlinear switched systems with sampled-data inputs. By employing the multiple Lyapunov functions (MLFs) and input delay met...
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This paper addresses the uniform global asymptotical stability (UGAS) problem for a class of nonlinear switched systems with sampled-data inputs. By employing the multiple Lyapunov functions (MLFs) and input delay method, some new stability conditions are explicitly established for nonlinear switched systems with sampled-data controls. Besides, the sufficient conditions are derived in terms of an upper bound on the dwell time and the maximal sampling interval. Finally, some numerical examples illustrate the advantages of the proposed results.
This paper is concerned with the problem of designing successful covert attacks against output tracking control of cyber-physical systems from the covert agent's angle. Based on the perfect model knowledge and no ...
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This paper is concerned with the problem of designing successful covert attacks against output tracking control of cyber-physical systems from the covert agent's angle. Based on the perfect model knowledge and no model knowledge, the covert agent designs two kinds of covert attacks which can compromise the output tracking controlsystem without being detected. Two sufficient conditions under which the covert agent can successfully compromise the output tracking controlsystem are proposed. The designed covert attacks are illustrated through two numerical examples.
A new kind of nonlinear control law is proposed for the purpose of improving servo platform tracking performance under condition of rapid movement. On the basis of linear ADRC, an arctangent function is selected, and ...
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ISBN:
(纸本)9781479936519
A new kind of nonlinear control law is proposed for the purpose of improving servo platform tracking performance under condition of rapid movement. On the basis of linear ADRC, an arctangent function is selected, and smoothly extended to an anti-S curve. The new method retains the feature of estimating and compensating the internal un-modeled dynamics and external disturbances. Simulation and comparison tests show that system using new control method has faster and more accurate tracking results.
In order to solve the problem that the clustering number in Fuzzy C-Means(FCM) needs to be set manually in advance,a two-phase hybrid fuzzy clustering approach using membership fusion(TPHFC) is *** the first phase,con...
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In order to solve the problem that the clustering number in Fuzzy C-Means(FCM) needs to be set manually in advance,a two-phase hybrid fuzzy clustering approach using membership fusion(TPHFC) is *** the first phase,conventional FCM is used for *** the second phase,the results obtained by pre-clustering are fused according to the relationship between the membership of samples to different clusters and the membership threshold.A density-based clustering validity measurement is established for this *** proposed method obtains better clustering effect with setting fewer *** on synthetic datasets conforming to Gaussian distribution and UCI datasets demonstrate the effectiveness of the proposed clustering *** clustering number and clustering centers can be obtained adaptively.
In this paper, we extend perfect tracking control to nonlinear systems, and propose a novel robust perfect tracking control(RPTC) strategy for nonlinear servo tracking systems. The overall controlsystem consists of...
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In this paper, we extend perfect tracking control to nonlinear systems, and propose a novel robust perfect tracking control(RPTC) strategy for nonlinear servo tracking systems. The overall controlsystem consists of four parts: a model-based friction compensator, a feedforward perfect tracking controller, an improved internal model controller as the feedback controller,and a disturbance observer for position feedback. First, the friction compensator is introduced to compensate the nonlinear dynamic friction, and the feedforward perfect tracking controller is applied to widen the frequency band. Then, the internal model controller with a differentiator is adopted to yield improved tracking accuracy. Moreover, by utilizing the disturbance observer, the robustness against external disturbances and plant uncertainties is ensured. Finally, high accuracy tracking and ideal robustness are achieved by the RPTC scheme. The stability of the closed loop system is analyzed. Simulation results demonstrate that the proposed RPTC strategy significantly improves the tracking accuracy and enhances the robustness.
Manipulator's obstacle avoidance is always a challenging topic in robotics. With the concern of the safety problems in human working environment, an improved obstacle avoidance method is proposed based on the gene...
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