This paper studies the problem of robust decentralized control for a class of large-scale interconnected systems subject to uncertainties and disturbances via a generalized active disturbance rejection control method....
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ISBN:
(纸本)9789881563897
This paper studies the problem of robust decentralized control for a class of large-scale interconnected systems subject to uncertainties and disturbances via a generalized active disturbance rejection control method. First, a novel extended state observer(ESO) is constructed separately for each subsystem with less dependence of the precise system information and structure. Second, an explicit formula of the decentralized active disturbance rejection control(DADRC) law is presented by utilizing the output feedback domination approach. It is shown that by a delicate analysis procedure, the closed-loop system can be rendered semi-globally asymptotically stable only using decentralized output feedback anti-disturbance controller. Numerical simulations show the efficiency of the proposed method.
Autonomous localization is a primary and crucial issue in mobile robot navigation tasks. In this article, the long-distance robust localization problem of indoor mobile robots is studied and solved by a combination st...
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Autonomous localization is a primary and crucial issue in mobile robot navigation tasks. In this article, the long-distance robust localization problem of indoor mobile robots is studied and solved by a combination style of using a laser scanner and an odometer. Firstly, a point-to-line iterative closest point(PLICP) approach is adopted to match the successive environmental information collected by a laser scanner to estimate the relative pose transformation of the robot. And then the multi-sensor fusion technology based on bounded-error set-membership estimator is proposed to to use scan matching results to correct the cumulative error of the odometer periodically to achieve precious location of the robot in indoor environments. Experimental results show that the accuracy and robustness of the proposed localization system has been improved greatly with respect to the single odometer localization approach.
This paper presents an imaging method for 360-degree panoramic view based on four wide angle cameras. In order to complete the image mosaic, all the parameters such as focal length, principal point and distortion coef...
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This paper deals with the problem of output feedback control of SISO nonlinear systems based on the multi-dimensional Taylor network (MTN) controller. It adopts the MTN controller as a network structure controller and...
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ISBN:
(纸本)9781479999767
This paper deals with the problem of output feedback control of SISO nonlinear systems based on the multi-dimensional Taylor network (MTN) controller. It adopts the MTN controller as a network structure controller and the differential geometry as an analysis tool. It proves that, when the given conditions are met, the reference signal can be asymptotically tracked by the MTN controller. And also, it proves the MTN controller can realize the closed-loop system dynamic regulation. Finally, an example is given to prove the correctness of above.
This paper investigates the robust second-order tracking problem of multi-agent systems without velocity measurements on detailed balanced directed communication topologies,where agents' dynamics are subject to un...
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This paper investigates the robust second-order tracking problem of multi-agent systems without velocity measurements on detailed balanced directed communication topologies,where agents' dynamics are subject to uncertain and external *** first construct the controller for multi-agent systems without uncertain and external ***,combined with the controller,one modifying uncertainty and disturbance estimator(UDE) is proposed to approximate the situation where neither the velocity measurements nor its asymptotic estimation is *** is shown that the synchronization errors are bounded and their ultimate bounds could be arbitrarily small by choosing some parameters *** results are presented to show the effectiveness of the controllers.
This paper investigates a nonlinear disturbance observer(NDOB) based sliding mode control(SMC) approach for PWM-based DC-DC boost converter systems subject to resistance load disturbances and input voltage *** designi...
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This paper investigates a nonlinear disturbance observer(NDOB) based sliding mode control(SMC) approach for PWM-based DC-DC boost converter systems subject to resistance load disturbances and input voltage *** designing a novel sliding mode manifold incorporated with a disturbance estimation technique,a NDOB-based SMC method is designed for these systems.A rigorous stability analysis is *** compared with the nominal SMC method,the proposed method obtains a better disturbance rejection ability when the resistance load and input voltage are *** comparison results are provided to verify the effectiveness of the proposed control method.
In this paper,the finite-time state observer design problem for a pneumatic servo system is *** the case of without velocity sensors,a velocity observer is *** rigorous stability analysis,it is proved that the designe...
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ISBN:
(纸本)9781479970186
In this paper,the finite-time state observer design problem for a pneumatic servo system is *** the case of without velocity sensors,a velocity observer is *** rigorous stability analysis,it is proved that the designed observer is locally finite-time *** on the proposed observer,an output feedback linearization controller is proposed for position tracking control of the pneumatic servo *** simulations illustrate the effectiveness of the proposed velocity observer.
As a well-known combinatorial optimization problem, multiple traveling salesman problem (MTSP) fails to characterize some application problems where cities may have different accessibility for some but not necessarily...
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As a well-known combinatorial optimization problem, multiple traveling salesman problem (MTSP) fails to characterize some application problems where cities may have different accessibility for some but not necessarily all salesmen. This work proposes a colored traveling salesman problem (CTSP) in which a city has one to multiple colors allowing any salesman with the same color to visit. It presents a decomposition approach that converts CTSP into a combination of several individual traveling salesman problems (TSPs) and one MTSP for an important class of CTSP. To solve the transformed one, this work proposes a modified greedy algorithm allowing multi-colored city assignment during city search and adopts the formerly presented simulated annealing genetic algorithm. A dual-bridge waterjet cutting example is utilized to compare the presented decomposition approach and direct one. The results show that the former can achieve a better solution than the latter if the cities of same color(s) are clumped.
This paper investigates the finite-time tracking control problem for rigid manipulator systems. The proposed controller is based on adding a power integrator technique, which guarantees global finite-time convergence ...
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ISBN:
(纸本)9781467374439
This paper investigates the finite-time tracking control problem for rigid manipulator systems. The proposed controller is based on adding a power integrator technique, which guarantees global finite-time convergence of tracking errors. Compared with the backstepping control scheme, the proposed control scheme provides a faster convergence rate for the tracking error system. Simulation results show the effectiveness of the proposed control scheme.
In this paper, a new single sample face recognition approach based on lower-upper (LU) decomposition is proposed. The single sample and its transpose are decomposed to two sets of basis images respectively by LU decom...
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ISBN:
(纸本)9781479978632
In this paper, a new single sample face recognition approach based on lower-upper (LU) decomposition is proposed. The single sample and its transpose are decomposed to two sets of basis images respectively by LU decomposition algorithm. Two approximation images are reconstructed from the two basis image sets respectively by the experimental estimation method. The fisher linear discriminant analysis (FLDA) is used to evaluate the optimal projection space using the new training set consisting of the single sample and its two approximation images for each person. We make two main contributions: one is that we propose to decompose the single sample and its transpose using the efficient LU decomposition algorithm; the other is that we present an experimental estimation method using the fixed image size to evaluate the number of basis images, which are used to reconstruct the approximation image. The experimental results on the FERET and AR face databases indicate that the proposed method is efficient and outperforms several state-of-the-art approaches which are proposed to address the single sample per person problem.
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