RKH SPACE METHODS FOR LOW LEVEL MONITORING AND CONTROL OF NONLINEAR SYSTEMS

1996 ◽  
Vol 06 (01) ◽  
pp. 77-96 ◽  
Author(s):  
ALAN COVER ◽  
JAMES RENEKE ◽  
MICHAEL FRYER ◽  
SUZANNE LENHART ◽  
VLADIMIR PROTOPOPESCU
Keyword(s):  
Reproducing Kernel ◽  
Control Function ◽  
Reproducing Kernel Hilbert Space ◽  
Smart Devices ◽  
Monitoring And Control ◽  
Low Level ◽  
Stochastic Linearization ◽  
Control Devices ◽  
Computational Resources ◽  
And Control

A monitor or controller is smart provided that the device is equipped with local computational resources for analyzing data, detecting changes, and making decisions. The problem for the monitoring function is to design algorithms to flag model shifts for dynamic systems in a context requiring many interacting system components and system reconfigurations. The problem for the control function is to improve system performance by updating control feedbacks after the model shift has been detected. Therefore it is desirable that smart monitors and controllers be adaptive and update with minimal intervention from a central director. We present here an approach to designing smart monitoring and control devices based on a stochastic linearization of the system whose dynamics is noisy and unknown. This linearization is obtained by factoring the discrete system covariance matrix, estimated from observations, and applying reproducing kernel Hilbert space techniques. The method is nonparametric which allows the smart devices to operate with only a low level logic.

RKH Space Methods for Low Level Monitoring and Control of Nonlinear Systems II. A Vector-Case Example: The Lorenz System

1997 ◽  
Vol 07 (06) ◽  
pp. 823-845 ◽  
Author(s):  
Alan Cover ◽  
James Reneke ◽  
Suzanne Lenhart ◽  
Vladimir Protopopescu
Keyword(s):  
Nonlinear Systems ◽  
Reproducing Kernel ◽  
Lorenz System ◽  
Linearization Method ◽  
Monitoring And Control ◽  
Stochastic Linearization ◽  
Vector Case ◽  
The Lorenz System ◽  
And Control ◽  
Level Monitoring

By using techniques from the theory of reproducing kernel Hilbert (RKH) spaces, we continue the exploration of the stochastic linearization method for possibly unknown and/or noise corrupted nonlinear systems. The aim of this paper is twofold: (a) the stochastic linearization formalism is explicitly extended to the vector case; and (b) as an illustration, the performance of the stochastic linearization for monitoring and control is assessed in the case of the Lorenz system for which the dynamic behavior is known independently.

scholarly journals POST STROKE REHABILITATION DEVICE

2021 ◽  
Author(s):  
Naveed Shahzad
Keyword(s):  
Mobile Application ◽  
Medical Condition ◽  
Recovery Process ◽  
Modern Technology ◽  
Smart Devices ◽  
Monitoring And Control ◽  
Medical Treatments ◽  
Flexion Extension ◽  
Common Area ◽  
And Control

Stroke is a medical condition that is the fifth cause of death and a leading cause of disability. The different reasons for stroke are high B.P, obesity, smoking, etc. recovery can only be sped up by regular physiotherapy and willpower of the patient. Regular physiotherapy can be interrupted by other commitments of the patient or by the doctor's unavailability. This may lead to a delay in the recovery process. Therefore, the efforts are needed to tackle the problem. The proposed device can be used to monitor and carry out selected exercises advised by the doctor. Here the upper right limb is our focus because it is the most common area to be affected. Furthermore, android application is also designed which have different consoles for doctor and patient. The patient’s app shows the history and progress of the patient while the doctor sets the time and can also see the progress. Firstly, the unit tracks finger and wrist movements and the signal strength of the muscles being exercised, and then performs assisted flexion / extension manipulation of the limb. The results are shown in the app using the graphs so that the patient and the doctor can both monitor the progress. Thus, this design gives ease to the patient as well as the doctor. With the world shifting towards smart devices and remote monitoring and control, there is a need to apply modern technology in the health dept. using the platform of IOT, certain medical treatments can be made easier for the doctors and effective for the patients. By using different sensors, a microcontroller, Arduino software, mobile application, the patient’s physiotherapy exercises can be monitored, recorded and assisted.

scholarly journals Traffic Monitoring Using Cloud Computing and RFID Technology

2021 ◽  
Vol 25 (1) ◽  
pp. 19-25
Author(s):  
Bartosz Pawłowicz ◽  
Mateusz Salach ◽  
Bartosz Trybus ◽  
Konrad Żak
Keyword(s):  
Traffic Control ◽  
Traffic Monitoring ◽  
Control Algorithms ◽  
Rfid Technology ◽  
Monitoring And Control ◽  
Street Traffic ◽  
Control Devices ◽  
And Control ◽  
Exhaust Gas Emissions ◽  
Special Meaning

The article presents the architecture and implementation of a street traffic monitoring system. It uses RFID identifiers to recognize vehicles, including special meaning, such as ambulances, city buses, vehicles with reduced exhaust gas emissions. Traffic data is sent to the IoT Hub service in the Azure cloud. On their basis, road situations are analyzed and decisions are made regarding traffic control. Control information is fed back to traffic control devices by means of street lights, barriers, information boards. The article describes the method of communication with the computing cloud and the possibilities of implementing traffic monitoring and control algorithms using IoT Hub.

scholarly journals An Intelligent Smart Plug with Shared Knowledge Capabilities

Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3961 ◽  
Author(s):  
Luis Gomes ◽  
Filipe Sousa ◽  
Zita Vale
Keyword(s):  
Remote Monitoring ◽  
Low Cost ◽  
Resource Optimization ◽  
Management Systems ◽  
Smart Devices ◽  
Shared Knowledge ◽  
Monitoring And Control ◽  
Energy Management Systems ◽  
And Control

The massive dissemination of smart devices in current markets provides innovative technologies that can be used in energy management systems. Particularly, smart plugs enable efficient remote monitoring and control capabilities of electrical resources at a low cost. However, smart plugs, besides their enabling capabilities, are not able to acquire and communicate information regarding the resource’s context. This paper proposes the EnAPlug, a new environmental awareness smart plug with knowledge capabilities concerning the context of where and how users utilize a controllable resource. This paper will focus on the abilities to learn and to share knowledge between different EnAPlugs. The EnAPlug is tested in two different case studies where user habits and consumption profiles are learned. A case study for distributed resource optimization is also shown, where a central heater is optimized according to the shared knowledge of five EnAPlugs.

scholarly journals Trends in Development and Integration of ITS

2020 ◽  
Vol 66 (3) ◽  
pp. 33-40
Author(s):  
Gordana Radivojević ◽  
Gorana Šormaz ◽  
Bratislav Lazić
Keyword(s):  
New Technologies ◽  
Big Data Analytics ◽  
Smart Devices ◽  
Social Changes ◽  
Monitoring And Control ◽  
Transport Services ◽  
System Functioning ◽  
Physical Objects ◽  
Different Characteristics ◽  
And Control

ITS applications are used in different traffic and transportation segments and enable processes automatization, acquizition and processing of large amounts of data, real time monitoring and control, providing services to clients etc. The main aims of the ITS introduction are the improvement of the trafic and transportation system functioning and of the provided services for clients. The ICT development has enabled the usage of the large number of smart devices, which can generate different characteristics of physical objects and exchange data with other devices and systems. This has led to the IoT concept in which the intelligent management of physical objects, based on processing and analyse of the large amounts of data, is possible. The aim of this paper is the review of the latest trends in the ITS systems’ development in the context of new technologies, social changes and users’ requests. In the paper there are described the ITS, the IoT and the Big Data analytics, which enable the intelligent transport services provided to the clients.

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