Current real-time applications should timely deliver synchronized data-sets, minimize latency in their response and meet their performance specifications in the presence of disturbances and faults. The adaptive featur...
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Current real-time applications should timely deliver synchronized data-sets, minimize latency in their response and meet their performance specifications in the presence of disturbances and faults. The adaptive features of the designed controller are present at the lower control level using specific artificial intelligence techniques. Fuzzy inference system design is the fundamental element to generate an adaptive nonlinear controller for the robot operation in the presence of disturbances and modeling inaccuracies. This paper introduces an adaptive real-time distributed control application with fault tolerance capabilities for differential wheeled mobile robots, named ARTEMIC. Specific design, development and implementation details will be provided in this paper.
This work presents a (numerical) technique to the local stability analysis of feedback linearizing control schemes for a class of uncertain nonlinear systems. A nonlinear decomposition of vector functions is applied t...
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In this paper, we present an approach to scalable co-scheduling in distributed computing for complex sets of interrelated tasks (jobs). The scalability means that schedules are formed for job models with various level...
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In this paper, we present an approach to scalable co-scheduling in distributed computing for complex sets of interrelated tasks (jobs). The scalability means that schedules are formed for job models with various levels of task granularity, data replication policies, and the processor resource and memory can be upgraded. The necessity of guaranteed job execution at the required quality of service causes taking into account the distributed environment dynamics, namely, changes in the number of jobs for servicing, volumes of computations, possible failures of processor nodes, etc. As a consequence, in the general case, a set of versions of scheduling, or a strategy, is required instead of a single version. We propose a scalable model of scheduling based on multicriteria strategies. The choice of the specific schedule depends on the load level of the resource dynamics and is formed as a resource query which is sent to a local batch-job management system.
The paper focuses on the design of a velocity control system which takes into consideration the knowledge of the predicted inclinations of the road along the track of the vehicle. By using this velocity control it is ...
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The paper focuses on the design of a velocity control system which takes into consideration the knowledge of the predicted inclinations of the road along the track of the vehicle. By using this velocity control it is possible to reduce the operations of the actuators, i.e. the powertrain and the brake system. The longitudinal dynamics of the vehicle is formulated in a simplified control-oriented model, which contains the longitudinal control force and disturbances such as aerodynamic force, rolling resistance and road slope. If the inclination of the road surface is assumed to be known, it is considered in the calculation of the velocity tracking or the reference velocity. The design of the velocity tracking system is based on the H ∞ control theory. In order to take into consideration the effects of dynamic disturbances and sensor noises weighting functions of quality performances in the controlled system are designed. The operation of the method is demonstrated through simulation examples in Matlab/Simulink and CarSim environments.
This paper deals with a possibility of non-destructive diagnostics of solid objects by software analysis of vibration spectrum by accelerometers. By a use of MATLAB platform, a processing and information evaluation fr...
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This paper deals with a possibility of non-destructive diagnostics of solid objects by software analysis of vibration spectrum by accelerometers. By a use of MATLAB platform, a processing and information evaluation from accelerometer is possible. Accelerometer is placed on the measured object. The analog signal needs to be digitized by a special I/O device to be processed offline with FFT (Fast Fourier Transformation). The power spectrum is then examined by developed evaluating procedures.
The need of continuous blood pressure measurement is usable in wide spectrum of applications from physicians practice to home care applications. Many types of blood pressure measurement devices can be bought in electr...
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ISBN:
(纸本)9781424460793;9780769539829
The need of continuous blood pressure measurement is usable in wide spectrum of applications from physicians practice to home care applications. Many types of blood pressure measurement devices can be bought in electronics shops. All such devices are contact measurement devices which need to be in contact of human body (hand or foot mainly). Secondary they allow only one measurement per several minutes interval (typically ones in 10 minutes). Our goal is to develop a small device for noninvasive continuous measurement of blood pressure. This device must be a small battery powered embedded system which measure a blood pressure during a long time period and send this information remotely to operator's stations. We would like to try two systems of blood pressure monitoring. The first one is system with NIR CCD camera (Near Infra Red), which measure the wide changes of the blood vessels and the second one is system, which measure the pulse transmit time (PTT). At the end we can compare the systems and get information, which system will be a right way to obtain exact continuous blood pressure information.
Most systems are controlling by common PID controllers. These PID controllers are available in variety possibilities. They are divided by types of controlling systems, by speed of action interference, by complexity, b...
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ISBN:
(纸本)9781424460793;9780769539829
Most systems are controlling by common PID controllers. These PID controllers are available in variety possibilities. They are divided by types of controlling systems, by speed of action interference, by complexity, by robustness etc. Most of industrial controllers are very expensive and except of some basic setting they are not offering any other way, how to involve into controlling process. On the other side, developing new analog controller to control simple systems is not reasonable in financial or time issue. That's why we decided to build simple, discrete controller and implement its algorithm into single chip eight bit microcontroller (MCU). This discrete controller - PSD - is characteristic its simplicity and variability. It can control plenty of less complicated systems by a mere change of its characteristic parameters. Thanks to modern approach is possible to create a full-featured controller including power action element on an area equal to 7cm 2 .
We investigate the flocking problem of multiple nonlinear dynamical mobile agents with a virtual leader in a dynamic proximity network. We assume that only a fraction of agents in the network are informed and propose ...
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ISBN:
(纸本)9787894631046
We investigate the flocking problem of multiple nonlinear dynamical mobile agents with a virtual leader in a dynamic proximity network. We assume that only a fraction of agents in the network are informed and propose a connectivity-preserving flocking algorithm. Under the assumption that the initial network is connected, we introduce local adaptation strategies for both the weights on the velocity navigational feedback and the coupling strengths that enable all agents to track the virtual leader, without requiring the knowledge of the agent dynamics. The resulting flocking algorithm works even for the case where only one agent is informed.
In this paper, a new feature selection and classification methods based on artificial neural network are applied to classify breast cancer on dynamic Magnetic Resonance Imaging (MRI). The database including benign and...
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In this paper, a new feature selection and classification methods based on artificial neural network are applied to classify breast cancer on dynamic Magnetic Resonance Imaging (MRI). The database including benign and malignant lesions is specified to select the features and classify with proposed methods. It is collected from 2004 to 2006. A forward selection method is applied to find the best features for classification. Moreover, artificial neural networks such as Multilayer Preceptron (MLP) neural network, Probabilistic Neural Network (PNN) and Generalized Regression Neural Network (GRNN) are applied to classify breast cancer into two groups; benign and malignant lesions. Training and recalling neural networks are obtained with considering four-fold cross validation.
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