Based on nominal model, a novel global sliding mode controller (GSMC) with a new control scheme is proposed for a practical uncertain servo system. This control scheme consists of two combined controllers, One is th...
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Based on nominal model, a novel global sliding mode controller (GSMC) with a new control scheme is proposed for a practical uncertain servo system. This control scheme consists of two combined controllers, One is the global sliding mode controller for practical plant, the other is the integral backstepping controller for nominal model. Modeling error between practical plant and nominal model is used to design GSMC. The steady-state control accuracy can be guaranteed by the integral backstepping control law, and the global robustness can be obtained by GSMC. The stability of the proposed controller is proved according to the Lyapunov approach. The simulation results both of sine signal and step signal tracking for 3-axis flight table are investigated to show good position tracking performance and high robustness with respect to large and parameter changes over all the response time.
In this paper, a novel fusion recognition algorithm of courtesy and legal amounts in handwritten Chinese bank checks is presented. Unlike the other fusion methods based on the independent recognition results of courte...
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In this paper, a novel fusion recognition algorithm of courtesy and legal amounts in handwritten Chinese bank checks is presented. Unlike the other fusion methods based on the independent recognition results of courtesy and legal amount, this proposed fusion algorithm begins with the segmentation of legal amount with the guide of recognition candidates of courtesy amount. And then we fuse the recognition candidates of courtesy and legal amounts. The system is validated with 1053 real bank checks. When the substitution is 0.43%, the recognition rate at the amount level can reach 66.10%
This paper studies the dynamics modeling and control simulation of space robot with the dynamic effects due to orbital mechanics. To a single-arm free-flying space robot, two dynamics models are built by Lagrangian fo...
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ISBN:
(纸本)0780393953
This paper studies the dynamics modeling and control simulation of space robot with the dynamic effects due to orbital mechanics. To a single-arm free-flying space robot, two dynamics models are built by Lagrangian formulation. One is a general model without the consideration of orbital mechanics, based on which a second model is derived by bringing in the generalized gravitation and generalized inertial force. The special form of this model with only the body coordinate considered can lead to the accurate dynamics model in satellite formation flying. Results of numerical control simulation show that the latter model give a more accurate modeling of space robot which is especially useful when the travel of system is of relatively long length.
Minimum entropy control has been studied extensively. Controllers satisfying a closed-loop minimum entropy condition provide a means of trading off the robustness of H infin control with the performance of H 2 contr...
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Minimum entropy control has been studied extensively. Controllers satisfying a closed-loop minimum entropy condition provide a means of trading off the robustness of H infin control with the performance of H 2 controller. In this paper, the minimum entropy H infin mixed sensitivity method is described, followed by the controller design for an aircraft longitudinal flight control. Analysis tests and simulations illustrate that the minimum entropy controller has better performances than most of the other H infin controllers which belong to a certain subset of the "unit ball in H infin "
In this paper, we propose a real-time lane detection algorithm based on a hyperbola-pair lane boundary model. In stead of modeling each road boundary separately, we propose a model to describe the road boundary as two...
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In this paper, we propose a real-time lane detection algorithm based on a hyperbola-pair lane boundary model. In stead of modeling each road boundary separately, we propose a model to describe the road boundary as two parallel hyperbolas on ground plane. By fitting points on pair road boundaries into this model, our method is able to make full use of road boundaries with existence of partial occlusion. Experiment in many different conditions, including various weather and road, demonstrates its high performance and accuracy
In this paper, the singularly perturbed systems are decomposed into slow and fast subsystems. An adaptive fuzzy controller is designed for slow subsystems to satisfy the tracking requirement. To alleviate the tracking...
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In this paper, the singularly perturbed systems are decomposed into slow and fast subsystems. An adaptive fuzzy controller is designed for slow subsystems to satisfy the tracking requirement. To alleviate the tracking error, the controller is constructed by T-S fuzzy model system since it has superior approximation performance than Mamdani system. As for fast subsystem, a fuzzy controller is developed to stabilize the fast states. To guarantee the stability of the SP systems, Lyapunov composite technique is proposed
The study on intelligent control for aerospace craft is the hot spot and emphasis in the international research field of spacecraft. There are some modeling and control methods proposed to implement the intelligent co...
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The study on intelligent control for aerospace craft is the hot spot and emphasis in the international research field of spacecraft. There are some modeling and control methods proposed to implement the intelligent control for aerospace craft. Among them, characteristic modeling (CM) is an effective method. But, there are also some deficiencies in dealing with nonlinear system concerning aerospace craft. In this paper, for the sake of overcoming the deficiencies to implement the intelligent control for aerospace craft, fuzzy characteristic modeling (FCM) method is proposed by combining Takagi-Sugeno (T-S) fuzzy modeling and CM methods. The fuzzy characteristic model based overall fuzzy control law is also discussed while the local adaptive controller is designed through the golden section adaptive control feedback law and feed forward control law. In addition, the stability condition for the proposed fuzzy controller is also briefly analyzed. The proposed approach has been shown to be effective via an example
This paper gives a deterministic controller design approach for a class of multiple-time-scale Markov jumping linear systems, which admit strong ill-conditioned dynamics. The proposed deterministic controller do not u...
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This paper gives a deterministic controller design approach for a class of multiple-time-scale Markov jumping linear systems, which admit strong ill-conditioned dynamics. The proposed deterministic controller do not use the jumping mode information, and therefore is very useful in some cases when the jumping information is unavailable. The design procedure reduces to solving a set of bilinear matrix inequalities, which is an NP-hard problem. Therefore, we propose a homotopy algorithm to solve it and obtain the feasible solutions. The numerical examples show the effectiveness of the proposed algorithm.
A certain kind of context features, sequence segments with wildcards (called IUPAC words), was used for eukaryotic polymerase II promoter prediction successfully by the content-based promoter prediction system Promote...
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A certain kind of context features, sequence segments with wildcards (called IUPAC words), was used for eukaryotic polymerase II promoter prediction successfully by the content-based promoter prediction system PromoterInspector. Inspired by this, a new statistical method for promoter prediction is designed based on these context features, which also incorporates some techniques used in the well-known interpolated Markov chains (IMC) model. As tested on the vertebrate promoter dataset collected by Martin Reese, the performance of this new method is much better than that of PromoterInspector, and is comparative to that of the popular content-based IMC predictors. Combination of this statistical IUPAC-based method with IMC, results in some improvement in discriminative power as compared with the later
The concern about national security has increased significantly since the 9/11 attacks. However, information overload and lack of advanced, automated techniques hinders the effective analysis of criminal and terrorist...
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The concern about national security has increased significantly since the 9/11 attacks. However, information overload and lack of advanced, automated techniques hinders the effective analysis of criminal and terrorist activities. Data mining applied in the context of law enforcement and intelligence analysis, called investigative data mining (IDM), holds the promise of alleviating such problems. In this paper, we present an understanding to show how IDM works and the importance of this approach in identifying key nodes in terrorist networks.
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