PID control schemes have been widely used in most of process control systems for the control of chemical processes. However the selection of suitable or optimal tuning parameters for such control laws remains a challe...
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PID control schemes have been widely used in most of process control systems for the control of chemical processes. However the selection of suitable or optimal tuning parameters for such control laws remains a challenging problem. The PID constants have a great influence on stability and control performance. In this paper, a self-tuning PID control scheme is proposed, which is able to deal with a time-varying system. The proposed scheme is derived based on the relationship between PID control and generalized minimum variance control(GMVC) laws. Furthermore, a suitable set of some user-specified parameters included in the GMVC criterion is sought by using a genetic algorithm recursively. Finally, the newly proposed scheme is evaluated on a temperature control system.
A systematic approach to the modeling of deformable rodlike objects is presented. Various rodlike objects such as cords and wires are manipulated in many manufacturing processes. In such processes, it is important for...
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A systematic approach to the modeling of deformable rodlike objects is presented. Various rodlike objects such as cords and wires are manipulated in many manufacturing processes. In such processes, it is important for successful manipulation to evaluate their shapes on a computer in advance because their shapes can be changed easily and their deformation often shows hysteresis properties. In this paper, we develop an analytical method to model the shape of deformable rodlike objects including hysteresis properties. First, we investigate the mechanism of hysteresis. Second, the potential energy of a rodlike object and the geometric constraints imposed on it are formulated. The shape of the object can be derived by minimizing the potential energy under the geometric constraints. Thirdly, a procedure to compute the shape of a deformed rodlike object is developed by applying a non-linear programming technique. Finally, we show some numerical examples with hysteresis using our proposed method.
This paper proposes a new feedback picture sequence control (FPSC) for providing better QOS and more effective usage of network resource in ATM networks. The FPSC utilizes the feedback mechanism of the ABR service and...
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The importance of human-machine interface is widely acknowledged in accordance with the increase of the computer powers. In human to human communication, we communicate with each other by using not only verbal media b...
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This paper proposes a new feedback picture sequence control (FPSC) for providing better QOS and more effective usage of network resource in ATM networks. The FPSC utilizes the feedback mechanism of the ABR service and...
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This paper proposes a new feedback picture sequence control (FPSC) for providing better QOS and more effective usage of network resource in ATM networks. The FPSC utilizes the feedback mechanism of the ABR service and the flexibility of MPEG video coding in order to resolve the collision of I-pictures at switches. The FPSC requires only a very little modification of usage of RM cell in the ABR service. We also describe the MPEG encoder which can change the number of pictures in a GOP. Simulation results show that the FPSC can improve the QOS such as the cell loss ratio and mean buffering delay in the cell buffer of the switch.
This paper presents a new kind of cellular neural network (CNN) called multi-objective cellular neural network (MCNN). Like CNN, it is a large-scale nonlinear analog circuit which processes signals in real time, and i...
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This paper presents a new kind of cellular neural network (CNN) called multi-objective cellular neural network (MCNN). Like CNN, it is a large-scale nonlinear analog circuit which processes signals in real time, and it is made of a massive aggregate of regularly spaced circuit clones, called cells, which communicate with each other directly only through their nearest neighbors. Unlike CNN, each cell of MCNN has multiple vectors denoting different cell feature, and one vector will represent the meaning of that cell against other vectors when the network reaches the equilibrium state. Multi-objective cellular neural networks have some characteristics of CNN like: its continuous time feature allows real-time signal processing found wanting in the digital domain, its local interconnection feature makes it ideal for VLSI implementation and its multiple vector characteristic makes it applicable in many fields like image processing.
This paper deals with a problem to coordinate objects according to their impressions. First, the authors propose and define a KANSEI coordination problem, especially the color harmonization and arrangement for color c...
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This paper deals with a problem to coordinate objects according to their impressions. First, the authors propose and define a KANSEI coordination problem, especially the color harmonization and arrangement for color combinations, and then formulate this problem. They simplify the practical complicated problem of arranging and coordinating colors for interior coordinates. This simplification enables one to formulate and finally resolve the problem into an optimization of the evaluation function under some constraint formulas. Therefore, it is expected that many kinds of constraint satisfaction methods can be used. The authors also point out that the evaluation function can be considered as a KANSEI model which can represent the relationship between subjectivity (the degrees of color harmony) and coloring styles.
This paper describes a model-based grasp planner for an articulated multi-fingered robotic hand. The planner searches for an initial grasp from which a required continuous motion of an object is achieved using fingert...
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This paper describes a model-based grasp planner for an articulated multi-fingered robotic hand. The planner searches for an initial grasp from which a required continuous motion of an object is achieved using fingertips alone while keeping rolling contact with the object. An adaptive search strategy has been developed and implemented: the error analysis of the failed grasp is made to find the most promising search direction. A quality measure of manipulation is newly introduced and evaluated to select a better grasp among possible candidates. Simulation results are demonstrated.
A future system for flexible manufacturing must be a sensor-complex for multi-modality with high intelligence, since such a system should work with a human who has a variety of expression methods and acceptance channe...
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ISBN:
(纸本)0780358414
A future system for flexible manufacturing must be a sensor-complex for multi-modality with high intelligence, since such a system should work with a human who has a variety of expression methods and acceptance channels. The paper describes three topics from our researches on gesture and haptic interfaces which can be introduced for a human-friendly interface in a designer-consumer cooperative production system. The first one is a gesture information acquisition method using an image processing technique. The second one is another gesture recognition system by employing accelerometers to measure the forces applied to the body. A haptic-communication device is introduced as the third topic of the paper. It is able not only to detect grasping force and the device orientation, but also to display the tactile sensation using the vibration motors to realize human-machine and human-human haptic communications.
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