This study revealed an applicable architecture in which a data-driven mechanism was designed to bridge a wireless sensor network (WSN) and the Internet. The system was divided into two independent parts. The first par...
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This study revealed an applicable architecture in which a data-driven mechanism was designed to bridge a wireless sensor network (WSN) and the Internet. The system was divided into two independent parts. The first part is the data communication between the sensor network and the database. The other part is the data communication between the database and the user interface (UI). These two parts are connected by the database server. Asynchronous interoperation was introduced while exchanging data between these two parts. Users were not allowed to control the sensors through direct connection to the sensors and can only use the Web service to update the sensor profile built in the database. The sensors were triggered to start the action through a data-update event from the database. A sensor profile built in the database collected all sensor information and all user control command. For the information to be centralized and triggered by the database, regardless of whether sensors were measured in a periodic sampling or an event-driven environment, all sensor actions were triggered through a data-update event in the database. For the sake of improving user experience, a Web-based UI was implemented using scalable vector graphics (SVG) and Ajax technologies. All operations by users were conducted through the Hypertext Transfer Protocol (HTTP) standard method. Therefore, this system can be used via a browser and easily deployed. The proposed architecture is suitable for a healthcare system, a personal body area network, and the Infranet for control.
In this paper, a fuzzy control method is introduced for Buck converter and a Proportional-Differential (PD) like fuzzy controller is designed. The nonlinear characteristics of the PD like fuzzy controller in small-sig...
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ISBN:
(纸本)9781424427994
In this paper, a fuzzy control method is introduced for Buck converter and a Proportional-Differential (PD) like fuzzy controller is designed. The nonlinear characteristics of the PD like fuzzy controller in small-signal range are analyzed. The analysis shows that the PD like fuzzy controller is equivalent to a modified PD controller which provides an additional correction action. The PD like fuzzy controller can provide faster correction than the conventional PD controller. Therefore, the dynamic performance of the closed loop system could be improved. The simulation under fuzzy control is compared with the simulation under Voltage Mode control, using Matlab/Simulink. The simulation results demonstrate that fuzzy control has superior performance as compared with Voltage Mode control.
In this paper, a model-predictive control based framework is proposed for modeling and optimization of the health state of power system equipment. In the framework, a predictive health model is proposed that predicts ...
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In this paper, a model-predictive control based framework is proposed for modeling and optimization of the health state of power system equipment. In the framework, a predictive health model is proposed that predicts the health state of the equipment based on its usage and maintenance actions. Based on the health state, the failure rate of the equipment can be estimated. We propose to use this predictive health model to predict the effects of different maintenance actions. The effects of maintenance actions over a future time window are evaluated by a cost function. The maintenance actions are optimized using this cost function. The proposed framework is applied in the optimization of the loading of transformers based on the thermal degradation of the paper insulation.
Brain computer Interface (BCI) is a technology that developed over the last three decades has provided a novel and promising alternative method for interacting with the environment. BCI is a system which translates a ...
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Brain computer Interface (BCI) is a technology that developed over the last three decades has provided a novel and promising alternative method for interacting with the environment. BCI is a system which translates a subject's intentions into a control signal for a device, e.g., a computer application, a wheelchair or a neuroprosthesis. Electroencephalogram-based BCI has become a hot spot in the research of neural engineering, rehabilitation, and brain science. The artifacts are disturbance that can occur during the signal acquisition and that can alter the analysis of the signals themselves. Removing artifacts produced in Electroencephalogram (EEG) data by muscle activity, eye blinks and electrical noise is a common and important problem in EEG analysis. In this research, for artifact rejection, EEG data are filtered to the frequency range between 8 and 32 Hz with a butterworth band-pass filter. Finally two different structures of neural network and a support vector machine used to classify features that are extracted by Hilbert and Wavelet transform.
This paper proposes a new spatial 3-DOF parallel mechanism with a unique forward kinematic solution. Using the Scott mechanism as its sub-chain, the mechanism is foldable, which is useful for design of a compact-sized...
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This paper proposes a new spatial 3-DOF parallel mechanism with a unique forward kinematic solution. Using the Scott mechanism as its sub-chain, the mechanism is foldable, which is useful for design of a compact-sized master device. The kinematics of this mechanism is derived and its kinematic characteristics are analyzed in terms of workspace and kinematic isotropy. The mechanism was implemented and tested as a master device to control a virtual construction robot handling a large glass plate.
State observer design procedure is proposed for nonlinear locally Lipschitz systems. Possible presence of disturbances is taken into account. The solution is based on logic-based control approach applicable to nonline...
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This paper presents a now intelligent approach for adaptive control of non-linear dynamic systems. Based on past researches on emotionally intelligent-control systems, the introduced method is a modified version of Br...
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This paper presents a now intelligent approach for adaptive control of non-linear dynamic systems. Based on past researches on emotionally intelligent-control systems, the introduced method is a modified version of Brain Emotional Learning Based Intelligent controller (BELBIC), a physiologically motivated system previously developed and successfully used in control applications. The proposed approach is able to quickly respond to change in environmental and dynamic system and realizes online diroct-adaptivc-control scheme. Showing very good robustness, BELBIC is very simple in implementation and imposes very low computation load on the control system. This modified algorithm has boon successfully applied to real-time longitudinal control of an agile air-to-air missile which has over-changing non-linear dynamics.
In this paper, we consider finite-time tracking problems of a moving target by multiple mobile agents. The mobile agents with global sensing areas and limited actuation region are designed to track down a target with ...
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In this paper, we consider finite-time tracking problems of a moving target by multiple mobile agents. The mobile agents with global sensing areas and limited actuation region are designed to track down a target with estimation error with the help of formation and coverage. In order to capture the target, its location and velocity are first estimated. With observer-based estimation and formation control, the group of agents can catch the target by a coverage tracking policy in finite time.
Paper deals with industrial realization of feedback control of demanding applications on their control, control algorithms and visualization together with design, implementation and real time control from MATLAB/Simul...
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Paper deals with industrial realization of feedback control of demanding applications on their control, control algorithms and visualization together with design, implementation and real time control from MATLAB/Simulink Environment. Paper shows direct connection and implementation way of designed control schemas of prepared applications to an industrial WinPLC. Described is a way to produce a permanent solution in control applications that are fully prepared, designed and implemented directly from MATLAB/Simulink to the target control platform. As a part, the mentioned solution is using a multiplatform control system REX as a bridge between MATLAB and target platforms. These methods allow minimizing costs of development of control of applications, because it produces target permanent realizations in comparison to classical development methods that usually need expensive real time measurement cards and produce only one purpose development solution.
In this paper,we consider the feedback stabilization problem of impulsive linear control systems with quantized input signals and quantized output *** concepts including quasi-invariant sets and attracting sets for hy...
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In this paper,we consider the feedback stabilization problem of impulsive linear control systems with quantized input signals and quantized output *** concepts including quasi-invariant sets and attracting sets for hybrid impulsive quantized systems are *** on these concepts and the analysis of related dynamic properties,we propose hybrid quantized control schemes to stabilize the considered impulsive systems via state and output feedback.
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