In general, due to some limitations of nonlinear control methods, it is difficult to analyze control performance for nonlinear multi-agent network. The T-S fuzzy model-based approach is often introduced to help solve ...
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In general, due to some limitations of nonlinear control methods, it is difficult to analyze control performance for nonlinear multi-agent network. The T-S fuzzy model-based approach is often introduced to help solve the performance analysis in nonlinear systems, but the problem of nonlinear follower agents approaching a time-varying leader is difficult to be formulated by using the general T-S fuzzy modeling method. In this paper, a novel T-S fuzzy modeling method is proposed, and the error dynamics between the states of agents and the leader signal, evolving according to an isolated unforced nonlinear agent model, is described by a set of T-S fuzzy models. Based on the model, leader-following consensus algorithm is conveniently designed so that under external disturbances, all the follower agents achieve consensus with the leader guaranteeing a prescribed disturbance attenuation level in H ∞ sense. Finally, simulations with chaotic dynamic systems and sinusoidal functions are presented, and by applying the obtained results to the initial nonlinear systems, the effectiveness of the obtained results is illustrated.
In many practical applications, constraints are often present on, for example, the magnitudes of the control inputs. Recently, based on a novel successive projection framework, two constrained iterative learning contr...
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In many practical applications, constraints are often present on, for example, the magnitudes of the control inputs. Recently, based on a novel successive projection framework, two constrained iterative learning control (ILC) algorithms were developed with different convergence properties and computational requirements. This paper investigates the effectiveness of these two methods experimentally on a gantry robot facility, which has been extensively used to test a wide range of linear model based ILC algorithms. The results obtained demonstrate the effectiveness of the algorithms in solving one form of the general constrained ILC problem.
In this communication, we demonstrate the proof of concept that carbon nanocapsules (CNCs) can be used as an effective fluorescent sensing platform for nucleic acid detection with selectivity down to single-base misma...
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This paper contains analysis and simulation of recent dynamic models, describing human emotion. The pharmacological discussions lead to a new model of drug taking, which also have a better performance for description ...
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ISBN:
(纸本)9781467311496
This paper contains analysis and simulation of recent dynamic models, describing human emotion. The pharmacological discussions lead to a new model of drug taking, which also have a better performance for description of psychological and psychiatric phenomena. Studying the effects of the order of fractional model, obtains an advantage of the fractional order model over the integer order one.
This paper describes an unconstrained measurement system for scratching motion. We have proposed an unconstrained bed monitoring system by piezoceramic sensors that could detect heartbeat respiration and body movement...
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This paper describes an unconstrained measurement system for scratching motion. We have proposed an unconstrained bed monitoring system by piezoceramic sensors that could detect heartbeat respiration and body movement. The system could measure the bed vibrations due to the motion of the person on the bed. In this paper, we apply this unconstrained bed sensing method to the system for detecting scratching motion. The proposed sensors are placed under the bed feet. When the subject is lying on the bed, the output signals from the sensors are proportional to the magnitude of the vibration due to the body movement of the subject. Hence, it is possible to detect the subject's scratching motion from the output signals. Furthermore, also with output signals from the three ceramic sensors, the proposed system can detect the direction of the body movement, which enables us to estimate the scratched area. We evaluated three scratching motions using the proposed system in the validity experiment as follows: Case 1 is the subject's scratching the right cheek with right hand;Case 2 is the subject's scratching the back after turning over, and;Case 3 is the subject's scratching the shin with another foot. As the results of the experiment, we identified the scratching signals that enable the determination when the scratching occurred. Furthermore, the difference among the amplitudes of the output signals enabled us to estimate where the subject scratched.
This paper studies the problem of predictive output feedback control for networked controlsystems with random communication delays. A networked predictive control scheme is employed to compensate for random communica...
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This paper studies the problem of predictive output feedback control for networked controlsystems with random communication delays. A networked predictive control scheme is employed to compensate for random communication delays, which mainly consists of the control prediction generator and network delay compensator. Furthermore, a new strategy of designing the time-varying predictive controller with mixed random delays for networked systems is proposed. Then the system can be formulated as a Markovian jump system. New techniques are presented to deal with the distributed delay in the discrete-time domain. Based on analysis of closed-loop networked predictive controlsystems, the designed predictive time-varying output feedback controller can achieve the desired control performance and also guarantee system stability. Simulation examples demonstrate the compensation for random communication delays and data loss in networked systems using the proposed predictive controller design strategy.
In this study, nonlinear neural network controller will be developed to control plasma radial motion in Damavand Tokamak. It is essential to have a good model in order to design a proper controller for plasma radial m...
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In this study, nonlinear neural network controller will be developed to control plasma radial motion in Damavand Tokamak. It is essential to have a good model in order to design a proper controller for plasma radial motion. To achieve this goal, actuator circuits are simulated and in consequence based on simulator model and simulated actuator circuits nonlinear neural network controller will be designed in Damavand Tokamak. Comparison between neural network controller output and PD controller output shows the efficiency of proposed approach.
This paper presents a combination of existing advanced methods to solve the partial volume segmentation problem. It uses region-based active surface modelling in a hierarchical scheme to eliminate segmentation errors,...
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This paper presents a combination of existing advanced methods to solve the partial volume segmentation problem. It uses region-based active surface modelling in a hierarchical scheme to eliminate segmentation errors, followed by an alpha matting step to further refine the segmentation. This method can have an interest in several applications in medical imaging. We have validated our method on real PET images of head-and-neck cancer patients as well as custom designed phantom PET images. Experiments show that our method can generate more accurate segmentation than existing approaches.
This research is concerned with an improvement on a teleoperation system of robot arm with visual servo mechanism by target selection. The teleoperation system considered in this research is mainly divided into operat...
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ISBN:
(纸本)9781467322591
This research is concerned with an improvement on a teleoperation system of robot arm with visual servo mechanism by target selection. The teleoperation system considered in this research is mainly divided into operational side and working side. In the operational side, the command to realize the rough motion of the working robot arm in the working side is generated manually by using not only a robot arm but also a joystick. Web cameras are introduced for the human operator to grasp the circumstance around the working robot arm. The generated command in the operational side is transmitted into the working side through the Internet. The visual servo mechanism is also considered to realize the accurate motion of the working robot arm by a USB camera. In the vision system, the position of a target object is specified to generate the command for the accurate motion by template matching technique with an image obtained from the mouse dragging during operation. Experimental results are shown to confirm the effectiveness of the teleoperation system.
This paper presents the comparison of Force-Free control (FFC) against a Impedance control (IC) method in Cartesian space. The study of interaction forces between a robot arm and the environment is carried out. Main o...
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ISBN:
(纸本)9781467322591
This paper presents the comparison of Force-Free control (FFC) against a Impedance control (IC) method in Cartesian space. The study of interaction forces between a robot arm and the environment is carried out. Main objective of this investigation is to find how to regulate and tune force-free control for safe and feasible operation. And how proposed force-free control compliances against an external force given from the environment, and compares the behavior with general impedance control method. A concise description of analyzing procedure is given for modeling and simulation of a robot arm and also how it interacts with environment under force-free and impedance controls schemes. The modeling and comparison are made by adopting Matlab/Simulink environment. Furthermore, the intention is also focused to make use of actual industrial robots whose factory fitted dynamical control loops are not accessible.
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