This paper presents a novel method for vision tracking with line of sight control. The line of sight control for the vision tracking is an important function for various robot applications. However, when a robot is mo...
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This paper presents a novel method for vision tracking with line of sight control. The line of sight control for the vision tracking is an important function for various robot applications. However, when a robot is moving fast, it is difficult to keep the camera's sight towards a specific target, using only a vision feedback controller, due to the limitation in vision processing capabilities. In the proposed method, a feedforward controller based on robot position information is implemented to improve the tracking performance. The translational motion of the robot is estimated using a fuzzy logic controller and a slip detector. In addition, an Euler angle expression is used to calculate the robot orientation in 3-D space. Then, a vision-based feedback controller is added to compensate for the feedforward targeting error. To evaluate the performances, the developed vision tracking system is implemented on a mobile robot, and various experiments are performed. Experimental results show excellent tracking and recognition performances.
This paper introduces a two-stage Linear Logic based program synthesis approach to automatic RESTful web service composition. The Linear Logic theorem proof is applied at both resource and service invocation method le...
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A fastest consensus problem of topology fixed networks has been formulated as an optimal linear iteration problem and efficiently solved by Xiao and Boyd [1]. Considering a kind of predictive mechanism, we show that t...
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A fastest consensus problem of topology fixed networks has been formulated as an optimal linear iteration problem and efficiently solved by Xiao and Boyd [1]. Considering a kind of predictive mechanism, we show that the consensus evolution can be further accelerated while physically maintaining the network topology. The underlaying mechanism is that an effective prediction is able to convert the network status along temporal dimension to that in spatial dimension and hence induce a network with a virtually denser topology. With this topology, an even faster consensus is expected to occur. The result is motivated by the predictive mechanism widely existing in biological swarms, flocks, and synchronization networks.
DS (Diamond Search) is one of the most famous motion estimation algorithms. By analyzing the characteristics of DS, it is found that DS can be improved more efficiently. A Modified Diamond Search (MDS) algorithm is pr...
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DS (Diamond Search) is one of the most famous motion estimation algorithms. By analyzing the characteristics of DS, it is found that DS can be improved more efficiently. A Modified Diamond Search (MDS) algorithm is proposed in this paper. Firstly, MDS employs Small Diamond Search Pattern(SDSP) to judge if the MBD(Minimum Block Distortion) point is the initial search center. If the MBD point does not locate at the search center, Simplified Large Diamond Search Pattern(SLDSP) will be used in the next search step. If the MBD point is not within the circular area with a radius of one pixel, SLDSP will be employed continually to locate the best matching block with large motion vector until the search center become the MBD point. Finally SDSP will be adopted to refine the motion vector. Experimental results show that MDS can speed up the motion estimation process greatly under the same encoding efficiency compared to DS, especially for those video sequences with simple and slow motion vectors.
This paper presents a novel state and output feedback control law for the tracking control of a class of multi-input-multi-output (MIMO) continuous time nonlinear systems with unknown dynamics and disturbance input. F...
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ISBN:
(纸本)9781612848006
This paper presents a novel state and output feedback control law for the tracking control of a class of multi-input-multi-output (MIMO) continuous time nonlinear systems with unknown dynamics and disturbance input. First the state feedback based control law is designed which consists of the robust integral of a neural network (NN) output plus the sign of the tracking error signal multiplied with an adaptive gain. The two-layer NN learns the system dynamics in an online manner while the NN residual reconstruction errors and the bounded system disturbances are overcome by the error sign signal. Both of the NN output and error sign signal are included into the integral to ensure the control input is a smooth function. Since certain states are not available in practice, subsequently, a high-gain observer is utilized to estimate the unmeasurable system states and output feedback based controller is designed. A semi-global asymptotic tracking performance is guaranteed in the case of state feedback while boundedness in the case of output feedback and the NN weights and all other signals are shown to be bounded by using the Lyapunov method. Finally, theoretical results are verified in the simulation environment.
This paper presents a controller design approach to realize a precise force control of load devices in polishing machines. In the load device, a pneumatic actuator and a voice coil motor are combined as dual-stage act...
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This paper presents a controller design approach to realize a precise force control of load devices in polishing machines. In the load device, a pneumatic actuator and a voice coil motor are combined as dual-stage actuators to expand the servo bandwidth. However, the interference between the dual actuators may deteriorate the servo performance, especially at around the cross-over frequency. In this paper, therefore, PQ method is adopted to achieve the high precision force control by the expansion of servo bandwidth, where the compensators are especially designed to suppress the interference. The proposed approach has been verified by experiments using an actual load device of the polishing machine.
This paper presents a practical control methodology of force control systems using a pneumatic cylinder for polishing machines. The typical machine is composed of the pneumatic cylinder as an actuator, a motor to rota...
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This paper presents a practical control methodology of force control systems using a pneumatic cylinder for polishing machines. The typical machine is composed of the pneumatic cylinder as an actuator, a motor to rotate a whetstone, and a force sensor to detect the force value, where the high precision force control is required to achieve the high precision polish for objects. Vibration generated by the motor with periodic rotation, however, deteriorates the trajectory performance in target press force, resulting in the lower control accuracy of the system. In order to provide the precise force performance, therefore, a simple feedback compensator is designed to improve the disturbance suppression characteristic at specific frequency, where a resonant filter is adopted by paying attention to vector locus of the open-loop characteristic The proposed control approach has been verified by experiments using an actual pneumatic cylinder system.
In this paper, we discuss in time domain the convergence of the iterative process for fractional-order nonlinear systems. The PD~(alpha)-type iterative learning updating laws are considered. Most of the classical frac...
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In this paper, we discuss in time domain the convergence of the iterative process for fractional-order nonlinear systems. The PD~(alpha)-type iterative learning updating laws are considered. Most of the classical fractional-order cases for linear or nonlinear systems fall into the scheme of this paper. A number of numerical simulations are illustrated to validate the concepts.
Recently as the incidences of terrorism and crime increase, the utilization of video surveillance system such as CCTV is increased. The increase of video surveillance system is useful in maintaining the safety of peop...
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Recently as the incidences of terrorism and crime increase, the utilization of video surveillance system such as CCTV is increased. The increase of video surveillance system is useful in maintaining the safety of people's living and public order, however, the issue has been brought up about privacy invasion. For this, researches on the masking method to protect the privacy are being carried out. The masking method can protect privacy by eliminating the visual information but reduces the surveillance function. Therefore, the techniques that satisfy the human identification-based privacy protection and surveillance function at the same time have been researched. In this paper, the human identification method that is applicable to the existing privacy protection method and video surveillance system is explained.
This project consists in developing applications for mobile phones that allows users to query using the touch screen to check the status of remote devices. Current status of the remote visualization device is arranged...
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This project consists in developing applications for mobile phones that allows users to query using the touch screen to check the status of remote devices. Current status of the remote visualization device is arranged on the display, thereby increasing user comfort when operating the remote device (currently designed for GSM communicator GD-06 Allegro), instead of the traditional communication via SMS. Applications for mobile devices is designed for. NET Compact Framework and is designed for Windows Mobile. This application is created in Visual Studio 2008 from Microsoft.
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