In this paper, three discrete-time adaptive ILC approaches are discussed fully. In parallel with the continuous-time systems, a discrete-time adaptive ILC with time-difference estimator is first proposed for a class o...
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ISBN:
(纸本)9781467355322
In this paper, three discrete-time adaptive ILC approaches are discussed fully. In parallel with the continuous-time systems, a discrete-time adaptive ILC with time-difference estimator is first proposed for a class of discrete-time systems with constant parametric uncertainties. And then, a discrete-time adaptive ILC with hybrid-difference estimator is proposed for the other class of discrete-time systems with a mixture of time-varying and time-invariant uncertain parameters. The existing discrete-time adaptive ILC with iteration-difference is also reviewed for the convenience of comparison. Three cases are considered in the simulation to show the effectiveness of the proposed adaptive ILCs and to answer the question that which one is most suitable for the different controlled systems.
In vision-based autonomous landing system of UAV (Unmanned Aerial Vehicle), the efficiency of object detection and tracking will directly affect the control system. An improved algorithm of SURF (Speed Up Robust Featu...
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The classification and application range of energy storage technology are briefly introduced. Challenges for large-scale wind power integration are summarized. With regard to the problems in system stability, low volt...
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In recent years, wind power in China developed rappidly. More and more problems occurred with the integration of large-scale wind power. Arounding the issues of power system stability which are resulted from the integ...
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A new knowledge-based Artificial Fish-swarm Algorithm (AFA) with crossover operator, namely CAFAC, is proposed to combat with the blind search of the original AFA. The crossover operator is explored, and the normative...
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The Neural-Network Ensemble (NNE) is a very effective method where the outputs of separately trained neural networks are combined to perform the prediction. In this paper, we introduce the improved Neural Network Ense...
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In this paper, we consider the global output feedback stabilization problem for a class of nonlinear planar systems under a more general growth condition. The nonlinearities in such a system are bounded by both lower-...
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作者：
Flores, J.V.Gomes Da Silva Jr., J.M.PUCRS
Group of Automation and Control Systems Av. Ipiranga 6681 90619-900 Porto-Alegre-RS Brazil UFRGS
Department of Electrical Engineering Av. Osvaldo Aranha 103 90035-190 Porto-Alegre-RS Brazil
This paper addresses the anti-windup synthesis for control loops presenting resonant or repetitive controllers. A linear conditioning anti-windup approach is considered. Provided that the exogenous signals or the init...
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Duo to the periodicity of farm cropping, harvesting, seeding and spraying, a discrete time model free adaptive iterative learning control (MFAILC) algorithm for path tracking of farm vehicle is proposed. Based on the ...
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Duo to the periodicity of farm cropping, harvesting, seeding and spraying, a discrete time model free adaptive iterative learning control (MFAILC) algorithm for path tracking of farm vehicle is proposed. Based on the dynamical form linearization model for farm vehicle kinematic model l, the MFAILC algorithm can be designed just depending on the I/O data of the farm vehicle. The proposed method also can compensate the effect of initial shifting to preserve a perfect tracking. Simulations results illustrate the validity of the proposed methods.
In our previous work, moving pattern based modeling and control was proposed. In this paper, based on our previous work, a fault detection method based on moving pattern is proposed, and interval number is still used ...
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