The problem of robust Hinfin filtering for uncertain two-dimensional (2-D) continuous systems described by the Roesser state-space model is investigated when the parameter uncertainties are polytopic. A sufficient lin...
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Coordinated systems of multiple mobile manipulators can be much more flexible than single mobile manipulator in order to accomplish complex and changeable tasks. In this paper, sliding-mode control strategies are used...
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Coordinated systems of multiple mobile manipulators can be much more flexible than single mobile manipulator in order to accomplish complex and changeable tasks. In this paper, sliding-mode control strategies are used to control the coordinated multiple mobile manipulators which carry a common object. The control ensures that the output tracking errors of the system converge to zero. Simulation studies show the effectiveness of the proposed scheme.
This paper aims to present the practical realization of a biped robot and its remote control via bluetooth communication using C++ language. With a height of about 25 centimeters, the robot has six degrees of freedom,...
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This paper aims to present the practical realization of a biped robot and its remote control via bluetooth communication using C++ language. With a height of about 25 centimeters, the robot has six degrees of freedom, given by the six servomotors that are used to move it. Dimensions and the small number of motors are an advantage over conventional robots, because it does not need external energy sources and big hardware or software resources. The design allows the robot's straight movement and turning left or right. The presence of infrared sensors allows the robot to avoid static obstacles and stop at the edges of the surface displacement to avoid any accidents. The robot is able through an infrared proximity sensor used to avoid obstacles, to achieve grayscale images of objects is used a line-by-line scanning algorithm. The software allows the live creation of the images pixel by pixel. Those images can be stored or used to identify shapes or objects.
control of vibration suppressions is crucial for applications in engineering particularly in the area of aircraft system. An augmented control approach encompasses of using a feedforward intelligent command shaping te...
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Parkinson's disease is a neurodegenerative disorder and is associated with motor symptoms, including tremor. The DBS (Deep Brain Stimulation) involves electrode implantation into subcortical structures for long-te...
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Parkinson's disease is a neurodegenerative disorder and is associated with motor symptoms, including tremor. The DBS (Deep Brain Stimulation) involves electrode implantation into subcortical structures for long-term stimulation at frequencies greater than 100Hz. The mechanism by which chronic, electrical Deep Brain Stimulation with high frequency, suppresses tremor in Parkinson's disease is unknown, but might involve a gradual change in network properties controlling the generation of tremor. First, we performed linear and nonlinear analysis of the tremor signals to determine a set of parameters and rules for recognizing the behavior of the investigated patient and to characterize the typical responses for several forms of DBS. Second, we found patterns for homogeneous group for data reduction. We used Data Mining and Knowledge discovery techniques to reduce the number of data. Then, we found "clusters" the most well-known used and commonly partitioning methods used: K-means and K-medoids. To support such predictions, we develop a model of the tremor, to perform tests determining the DBS reducing the tremor or inducing tolerance and lesion if the stimulation is chronic.
This paper deals with a sliding mode control for linear systems with input and state time-varying delays. Two different time delays are considered for the sliding mode control of a continuous linear system. Delay-depe...
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The radial displacements of points of a dam are important behaviour indicators and they are a nonlinear function of hydrostatic pressure, temperature and other unexpected unknown causes. The artificial intelligence te...
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This paper presents finite state control (FSC) of paraplegic walking with wheel walker using functional electrical stimulation (FES) with spring brake orthosis (SBO). The work is a first effort towards restoring natur...
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This paper presents finite state control (FSC) of paraplegic walking with wheel walker using functional electrical stimulation (FES) with spring brake orthosis (SBO). The work is a first effort towards restoring natural like swing phase in paraplegic gait through a new hybrid orthosis, referred to as spring brake orthosis (SBO). This mechanism simplifies the control task and results in smooth motion and more-natural like trajectory produced by the flexion reflex for gait in spinal cord injured subjects. The study is carried out with a model of humanoid with wheel walker using the Visual Nastran (Vn4D) dynamic simulation software. Stimulated muscle model of quadriceps is developed for knee extension. Fuzzy logic control (FLC) is developed in Matlab/Simulink to regulate the muscle stimulation pulse-width required to drive FES-assisted walking gait and the computed motion is visualised in graphic animation from Vn4D and finite state control is used to control the transaction between all walking states. Finite state control (FSC) is used to control the switching of brakes, FES and spring during walking cycle.
Different methods for position control of a DC servomotor are examined. Position is measured with a low-resolution incremental encoder that is a cheap solution that allows for free movement of motor shaft. This kind o...
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Different methods for position control of a DC servomotor are examined. Position is measured with a low-resolution incremental encoder that is a cheap solution that allows for free movement of motor shaft. This kind of measurement affects control and degrades its performance. Entire system is first identified using Matlab system Identification Toolbox. P and PD controllers, along with cascaded and observer-based controllers are synthesised and tested. Sugeno type fuzzy controller with two inputs and constant output membership functions shows the best results of the tested controllers in both simulation and testing done on a real system. Simulation is performed with Matlab Simulink. controlsystem prototyping is done using DS1104 board.
Abstract In this paper an anti-slip predictive controller is designed and implemented in order to control the rear wheels of a V-PRA (Variable Powered Rear Axle) vehicle. The control algorithm is EPSAC, a Model based ...
Abstract In this paper an anti-slip predictive controller is designed and implemented in order to control the rear wheels of a V-PRA (Variable Powered Rear Axle) vehicle. The control algorithm is EPSAC, a Model based Predictive control (MPC) strategy. It uses explicitly a model of the system for the prediction of the future system output, in order to calculate the optimal control input which will bring the system to a required setpoint. The main goals of this predictive controller were setpoint trajectory following, disturbance rejection and maintain overall the stability of the V-PRA vehicle. Although the process is non-linear, being influenced by several parameters, linear discrete-time ARX models could be obtained based on system linearization around an operating point. An initial SISO controller was developed and tested, based on a Simulink model of the process. The control performances were tested successfully in presence of all kind of disturbances, denoting a robust controller.
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