This paper evaluates the possibility of applying a geno-fuzzy control strategy to a magnetorheological semi-active damper for seismic vibration control. The proposed control starategy is designed and then tested and v...
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The paper describes open control architecture for a mobile platform with inclination control moving in construction sites and carrying a robotic arm for bricklaying services. The control system for this 12-axis constr...
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This paper presents the dynamic modeling and control simulation of a novel robot that combines flying motion and on ground motion into an integrated single robot. The ground motion is based on four wheels configuratio...
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ISBN:
(纸本)9781467355599
This paper presents the dynamic modeling and control simulation of a novel robot that combines flying motion and on ground motion into an integrated single robot. The ground motion is based on four wheels configuration that provides more stability. The flying motion is depending on the flying mechanism of quadrotor system. Smart transformation mechanism is developed to switch the robot from the ground motion configuration to the flying motion configuration and vice versa without adding any additional actuators. A manipulator with 3 DOF is added to handle an object during the ground motion and it is useful to hold this object during the flying motion. A CAD model is developed using SOLIDWORKS. The dynamic model of this robot is derived to achieve the eccentricity of the payload, the weight of the eccentric manipulator and managing the variation of the payload in the dynamic model. The derived robot dynamics are highly nonlinear. A controller is designed based on feedback linearization technique to stabilize the robot attitude and altitude. controlling the horizontal movements' nonholonomic constraints is used to generate the desired trajectories of robot attitudes. Another dynamic model and controller have been established for the transformation mechanism. Finally, the simulation results using MATLAB/SIMULINK show that the controller successfully vanish the eccentric effect and stabilize the robot attitude.
This paper addresses the path planning problem of a mobile robot based on linear temporal logic formulae over a set of regions of interest in the environment. The regions have fixed and known locations but have some d...
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ISBN:
(纸本)9783902823281
This paper addresses the path planning problem of a mobile robot based on linear temporal logic formulae over a set of regions of interest in the environment. The regions have fixed and known locations but have some dynamic observations that can appear and disappear based on exponential probability density functions. The robot movement capabilities are modeled by a finite-state transition system. By drawing inspiration from temporal logic control for static environments, we find a run that has the greatest chance of satisfying the temporal logic specification. Then, we devise a supervising strategy for the robot motion along this run, which updates the execution based on the currently observed regions. The approach is supported by two simulations.
This paper proposes a new robust control strategy to prevent the current ripple propagation into the dc-dc converter input, thus avoiding converter malfunctions. Concretely, we apply the new strategy to a buck-boost c...
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In the last decades beside conventional cancer treatment methods, molecular targeted therapies show prosperous results. These therapies have limited side-effects, and in comparison to chemotherapy, tumorous cells show...
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ISBN:
(纸本)9781467357159
In the last decades beside conventional cancer treatment methods, molecular targeted therapies show prosperous results. These therapies have limited side-effects, and in comparison to chemotherapy, tumorous cells show lower tendency of becoming resistant to the applied antiangiogenic drugs. In clinical research, antiangiogenic therapy is one of the most promising cancer treatment methods. Using a simplified model of the reference dynamical model for tumor growth under angiogenic inhibition from the literature, exact linearization is performed in the paper to handle the nonlinear behavior of the model. Two different control methods are applied on the linearized model: flat control and switching control. Simulations are performed on the nonlinear model to show the characteristics of the therapies carried out using the presented control methods.
The paper discusses a new method of using robots to interact with humans (natural interaction) to provide assistance services. Using dept. sensors the robots are able to assist the human operator and to avoid collisio...
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The paper discusses a new method of using robots to interact with humans (natural interaction) to provide assistance services. Using dept. sensors the robots are able to assist the human operator and to avoid collisions. Natural interaction is implemented using a dept. sensor which monitors the activity outside and inside the robot system workspace. The sensor extracts dept. data from the environment and then uses the processing power of a workstation in order to detect the humans and robot arms. This is done by detecting skeletons which represent the position and posture of the humans and manipulators. Using skeleton tracking, a software agent is able to monitor the movements of the human operators and robotic arms and to detect possible collisions and to stop the robot motion at the right time. Also the agent can interpret the posture (or full body gesture) of the human operator in order to send basic commands to the robot.
In conventional robot systems the different robot parts (sensors, processing elements and actuators) are combined together in a compact, self contained system. The need for faster development and deployment, system re...
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In conventional robot systems the different robot parts (sensors, processing elements and actuators) are combined together in a compact, self contained system. The need for faster development and deployment, system reconfigurability and flexibility required the introduction of rapid deployment automation for robot systems in flexible manufacturing cells. Vision sensors are one of the most important sensors in robot systems. When constructing a new robot system, it is desirable that vision and image processing components are just as easily integrated as any other robot components. In some situations robot stations must be upgraded with vision systems in order to accomplish new tasks or to enhance the current work, here the Rapid Deployment Automation concept is the base to solve such problems in a shorter time having the smallest impact over the production flow in terms of production downtime. The paper describes an RDA solution of vision upgrade for robot stations in a china objects production plant.
Ischemic and dilated cardiomyopathy are associated with disorders of myocardium. Using the blood pressure (BP) signal and the values of the ventricular ejection fraction, we obtained parameters for stratifying cardiom...
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ISBN:
(纸本)9781479908851
Ischemic and dilated cardiomyopathy are associated with disorders of myocardium. Using the blood pressure (BP) signal and the values of the ventricular ejection fraction, we obtained parameters for stratifying cardiomyopathy patients as low- and high-risk. We studied 48 cardiomyopathy patients characterized by NYHA >2: 19 patients with dilated cardiomyopathy (DCM) and 29 patients with ischemic cardiomyopathy (ICM). The left ventricular ejection fraction (LVEF) percentage was used to classify patients in low risk (LR: LVEF > 35%, 17 patients) and high risk (HR: LVEF < 35%, 31 patients) groups. From the BP signal, we extracted the upward systolic slope (BP_(s1)), the difference between systolic and diastolic BP (BPA), and systolic time intervals (STI). When we compared the LR and HR groups in the time domain analysis, the best parameters were standard deviation (SD) of 1/STI, kurtosis (K) of BP_(sl) and K of BP A. In the frequency domain analysis, very low frequency (VLF) and high frequency (HF) bands showed statistically significant differences in comaprisons of LR and HR groups. The area under the curve of power spectral density was the best parameter in all classifications, and particularly in the very-low- and high-frequency bands (p < 0.001). These parameters could help to improve the risk stratification of cardiomyopathy patients.
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