Abstract In this paper, an optimal control scheme for a class of nonlinear systems with time delays in both state and control variables with respect to a quadratic performance index function is proposed using a new it...
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Abstract In this paper, an optimal control scheme for a class of nonlinear systems with time delays in both state and control variables with respect to a quadratic performance index function is proposed using a new iterative adaptive dynamic programming (ADP) algorithm. By introducing a delay matrix function, the explicit expression of the optimal control is obtained using the dynamic programming theory and the optimal control can iteratively be obtained using the adaptive critic technique. Convergence analysis is presented to prove that the performance index function can reach the optimum by the proposed method. Neural networks are used to approximate the performance index function, compute the optimal control policy, solve delay matrix function, and model the nonlinear system, respectively, for facilitating the implementation of the iterative ADP algorithm. Two examples are given to demonstrate the validity of the proposed optimal control scheme.
The evolutionary prisoner's dilemma game is investigated under different initial distributions for cooperators and defectors on scale-free networks with a tunable clustering coefficient. It is found that, on the o...
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The evolutionary prisoner's dilemma game is investigated under different initial distributions for cooperators and defectors on scale-free networks with a tunable clustering coefficient. It is found that, on the one hand, cooperation can be enhanced with the increasing clustering coefficient when only the most connected nodes are occupied by cooperators initially. On the other hand, if cooperators just occupy the lowest-degree nodes at the beginning, then the higher the value of the clustering coefficient, the more unfavorable the environment for cooperators to survive for the increment of temptation to defect. Thereafter, we analytically argue these nontrivial phenomena by calculating the cooperation probability of the nodes with different degrees in the steady state, and obtain the critical values of initial frequency of cooperators below which cooperators would vanish finally for the two initial distributions.
To facilitate the configuration selection of reconfigurable manufacturing systems, it needs to generate K (predefined number) best configurations as candidates for a given demand period. This paper presents a systemat...
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To facilitate the configuration selection of reconfigurable manufacturing systems, it needs to generate K (predefined number) best configurations as candidates for a given demand period. This paper presents a systematic approach for the problem of generating single-product flow-line (SPFL) configurations. The problem is to determine the SPFL configuration's parameters including number of workstations, number of paralleling machines and machine type as well as assigned operations for each workstation. Given an operation precedence graph (PG) and machine options for each operation, the objective is to minimise the capital costs of SPFL configurations subject to space limitation, investment limitation, and capacity constraint as well as precedence constraints among operations. For linear PG with one feasible operation sequence (FOS), a constrained K-shortest paths (CKSP) formulation is developed and a CKSP algorithm is introduced to generate K-best configurations including the optimal and near-optimal ones. For simple PG (a small number of FOSs), the K-best configurations are found by repeatedly solving the CKSP problem associated with every FOS. For general PG (numerous FOSs), a GA based approach is proposed to identify K-best configurations through searching within the optimal configurations associated with all FOSs. Case studies illustrate the effectiveness and efficiency of our approach.
An adaptive threshold segmentation algorithm based on HS joint statistics using HSI color model is introduced in order to improve the performance of image segmentation and the robustness of object recognition to illum...
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An adaptive threshold segmentation algorithm based on HS joint statistics using HSI color model is introduced in order to improve the performance of image segmentation and the robustness of object recognition to illumination change. Statistics of H and S component value of all the pixels in the region of interest (ROI) is obtained after image segmentation in HSI color space. The changing rule of statistics is verified while an empirical scale factor is applied to reflect the difference between the influence of H value and S value on segmentation threshold. The threshold is thus adjusted online according to the proposed approach. Experimental results demonstrate the decrease trend of H and S component value with intensified light. Furthermore, it validates the robustness of the approach under the circumstance of changing illumination. Thus the accuracy of the vision-based robot grasping is significantly improved.
According to the functions of database required by the vehicle monitoring system, three entities, including the vehicle, the vehicle terminal and the user, and their relationships are created and described by an entit...
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According to the functions of database required by the vehicle monitoring system, three entities, including the vehicle, the vehicle terminal and the user, and their relationships are created and described by an entity-relationship (E-R) diagram for the database concept design. The database logical model is built. In order to improve the performance of the database application, three kinds of optimization are proposed in different aspects. First, to improve the low efficiency of data accessing caused by a huge table, multiple sub-tables are divided from the original huge table by a distributed storage solution, which greatly increases the storage capability of the database based on decentralized management. Secondly, zoning optimizations are made for the single tables with a large amount of data. Due to the parallel processing for data, a good performance can be obtained even when the data accessing is frequent. Finally, the query speed of a specific table is improved by making fair use of the clustered index under the guide of different application purposes. Performance of the database in an actual vehicle monitoring system is evaluated. The results show that the optimized database can timely respond the real-time requests of data accessing. It is powerful for data storage and management, which ensures the stability and reliability of the system performance.
A conceptual map model of environments is proposed for task planning of service robots in semantic knowledge space. Such model is characterized with a layered structure containing ontology, spatial and user knowledge....
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A conceptual map model of environments is proposed for task planning of service robots in semantic knowledge space. Such model is characterized with a layered structure containing ontology, spatial and user knowledge. It is capable of inferring environmental knowledge and mapping semantic plans onto the instantial perception space. A scene recognition based method for conceptual map building and updating is proposed to support the environment learning capabilities of robots. Using such model, a layered topological and metric navigation strategy is proposed, in which map switching technique ensures that Monte Carlo localization and metric path planning are performed within each small-scale grid map. Experimental results in large-scale office environments validate the effectiveness and efficiency of robot localization and navigation, and a semantic navigation manner is achieved.
A class of complex hybrid time-delay models for network controlsystems have been constructed by taking the characteristics of network into account. Based on a LMI(linear matrix inequality) method, a kind of Lyapunov-...
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A class of complex hybrid time-delay models for network controlsystems have been constructed by taking the characteristics of network into account. Based on a LMI(linear matrix inequality) method, a kind of Lyapunov-Krasovskii functional is employed, and the controller design is discussed for this type of systems. As input control is in discrete-time and the input delay constant is known, while state is in continuous-time and the state delay constant is not known exactly, so the system is constructed based on two models in both continuous-time domain and discrete-time domain. At the same time, a new type of adaptive control strategy for the unknown delay parameter is proposed in this paper, which realizes that the unknown delay parameter can always be reflected in the memory state-feedback controller. Delay-dependent sufficient conditions for the existence of the feedback controller in terms of LMIS are obtained.
In order to solve the problems of inaccurate positioning in current vehicle monitoring systems, an intelligent vehicle monitoring system based on mobile video and WebGIS (Web geographic information system) is proposed...
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In order to solve the problems of inaccurate positioning in current vehicle monitoring systems, an intelligent vehicle monitoring system based on mobile video and WebGIS (Web geographic information system) is proposed and designed. The system is composed of front-end equipment, system platform and client. The instant image information captured by vehicle mobile video and the GPS(global positioning system) positioning location information received by the terminal are transmitted from front-end to system platform via the GPRS(general packet radio service) mobile communications platform. Also, a highly compressed digital video and audio codec technology standard named H.264/AVC is employed to compress the real-time mobile video information and the Google Maps API is called to display the current position of vehicles on the electronic map. Furthermore, the spatial analysis capabilities of GIS plus the GPS information not only make tracking feasibly, but also provide aid in decision making. It is shown that the system can not only reproduce the video data timely and accurately, but also accurately position the mobile vehicles so as to provide a better service in monitoring, control, management, analysis, decision-making and command functions, which expands the application fields and development prospects of WebGIS and mobile video monitoring technology.
The classical mean shift tracking algorithm is apt to make errors or lose the target if the target is occluded for a very long time. Thus an improved mean shift tracking algorithm is proposed. This algorithm divides t...
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The classical mean shift tracking algorithm is apt to make errors or lose the target if the target is occluded for a very long time. Thus an improved mean shift tracking algorithm is proposed. This algorithm divides the target into multiple fragments and integrates spatial information by using different weights of each image fragment. The similarity coefficient between target template and candidate template consists of the Bhattacharyya coefficients of the corresponding multiple fragments. Experimental results show that the proposed method is efficient when the target is occluded for a long time. A new method named edge-histogram is used. This method is based on original scale updating mechanism and make a further judgment that whether the target is smaller or not by calculating the Bhattacharyya coefficient between the target's edge-histograms of the current frame and the previous one. Experimental results show that the proposed algorithm can deal with the scale problem very well.
In order to achieve the goal of data statistic and task management under the embedded systems, together with the consideration of processing speed and the internal storage capacity, the embedded database is introduced...
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In order to achieve the goal of data statistic and task management under the embedded systems, together with the consideration of processing speed and the internal storage capacity, the embedded database is introduced. The features of embedded database are small in size, multi-functional, portable, highly efficient and stable. Taking the data management in the home energy monitor system as an example, a statistical method of time sharing is proposed. The embedded database Berkeley DB is transplanted, and the resource occupancy and response speed before and after using Berkeley DB are compared. Testing data show that although taking up more storage resources, the use of Berkeley DB provides more efficient data management capabilities. The application of Berkeley DB improves the system response, and provides a better human-computer interaction. Under the allowance of the hardware resources of device, this practice of using space for performance is feasible.
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