By the second decade of the 21st century, there has been a multi-faceted technological development in the field of networked control system (NCS). This progression in NCS has not only revealed its significant applications in various areas but has also unveiled various difficulties associated with it that hampered the operations of networked control system. Network-induced delays are issues that promote many other issues like packet dropout and brevity in bandwidth utilization. In this research article, network-induced delay has been curtailed by using the harmony between Smith predictor and Markov approach. The error estimation of the Smith predictor controller used for the simulation is carried out through a Markov approach which allows the control of the system to operate smoothly by optimizing the control signal. To implement the proposed method, the authors have simulated a third order system in Matlab/Simulink software.

The acceptance of tele-robotics and teleoperations through networked control system (NCS) is increasing day-by-day. NCS involves the feedback control loop system wherein the control components such as actuators and sensors are controlled and allowed to share their feedback over real time network with distributed users spread geographically. The performance and surgical complications majorly depend upon time delay, packet dropout and jitter induced in the system. The delay of data packet to the receiving side not only causes instability but also affect the performance of the system. In this article, author designed and simulate the functionality of a model-based Smith predictive controller. The model and randomized error estimations are employed through Markov approach and Kalman techniques. The simulation results show a delay of 49.926ms from master controller to slave controller and 79.497ms of delay from sensor to controller results to a total delay of 129.423ms. This reduced delay improve the surgical accuracy and eliminate the risk factors to criticality of patients’ health.

The geographically distributed feedback control loops connected via communication network elucidate the core of networked control system (NCS), wherein different users spread all over the world can regulate, direct and command the components of control system located at distant location. The proficiency of NCS provides sceptre to its user and multifaceted assignments are successfully endowed through it. The ascendancy of NCS is lowered through inconspicuous delays which destabilize the system. The induction of delays in the network lead to the proscription of packet delivery, bandwidth utilization and stable system response. In this manuscript Smith predictor is modified using Markov approach and Kalman estimation algorithm. The scheme has been implemented by using Matlab/ Simulink software for delay compensation. Performance analysis shows the robustness of modified Smith-Predictor controller in comparison to classical Smith predictor controller and proportional-integral-derivative based controllers.

Networked Control System (NCS) is a feedback control system with control loops closed via a communication network. Now-a-days, NCS is being used to simplify various tasks in space exploration, aviation, transportation, disaster management and healthcare sector etc. NCS provides us the greater autonomy of remote monitoring in geographically distributed mobile robots. In the field of robotics, NCS facilitated robots are being used to execute various challenging tasks. In this paper various camera monitored optimum path planning for Networked Control Robot have been presented. It has been observed that performance of these tasks highly depends upon the computational time taken by the controller. The computational time is the time required by a controller to execute the path planning of the robot from the images captured by camera-sensors. Therefore, in order to minimize total end-to-end delay between camera-sensor and moving robot, the computational time taken by the controller at remote end must be as minimum as possible for the real-time performance. The simulations of various image processing approaches have been performed using Matlab 2019a. In order to decide a suitable path planning approach, experimental results have been illustrated and discussed in Section III.

A Networked control system (NCS) can provide a distributed control over the large area as it can share many feedback control loops via communication network. NCS is capable to provide the sovereignty to its users. A wide range of complex tasks have been successfully implementedwith the use of networked control systems. With an objective to empower the Special Forces for military or critical operations, this paper proposes a third eye systemto enhance the safety and visual capability of the soldier using the NCS framework. The third eye system has been installed in the armament of a soldier who is prepared to fight in the battlefield. It has been realized that soldiers have only single vision-based capability to execute an operationswhile performing a secret mission in the battlefield. Therefore, to enhance the limited visual capability of the soldier, a third eye system has been installed in the armament of a soldier. Two main functionaries of third eye system are: a high resolution camera attached to the soldier's body and a gun controller unit remotely controlled by a backend team those arelocated at the base station. This team of experts is able to guide the soldier and counteract the auspicious movements around the soldier.

1497 All Rights Reserved © 2015 IJARECE  Abstract—A U-slot microstrip patch antenna loaded with metamaterial substrate is presented. The metamaterial substrate consists of an array of 5×6 split ring resonators. Each split ring resonator is made up of two concentric circular copper rings patterned on a substrate of FR4, with slits diametrically opposite each other. This work is mainly focused on increasing potential parameters of antenna and analyzing the multiband operation of proposed antenna. The antenna covers the frequency range of 2-4 GHz. For simulation purpose CST microwave studio software has been used.

: Cognitive radio is one of the technologies which has the potential to improve the spectrum utilization and network performance. Spectrum Mobility is an indispensable component in cognitive radio network that not only guarantees desired QoS of primary users but also grants resilient service for secondary users. Spectrum Mobility occurs when the primary user appears in the licensed band occupied by secondary user and it is used to avoid interference between primary and secondary users. This paper provides a systematic current overview of spectrum mobility process, various performance metrics and challenges regarding spectrum mobility are pointed out and finally a number of promising concepts and schemes are briefly presented .

A dual U-slot Microstrip patch antenna for W LAN & WI-MAX applications is presented. The proposed antenn a is designed using FR4 substrate having dielectric consta t 4.4 and fed through 50 ohm Microstrip line. The patch anten na is designed and simulated in CST microwave studio. The p roposed antenna generates the three frequency bands 2.431GH z, 5.16GHz 5.518GHz for WLAN and Wi-MAX .The measured results demonstrate that the proposed antenna has appreciab le bandwidth, return loss, VSWR and radiation pattern is thus suitable for WLAN and Wi-MAX applications. The return loss of antenna are -12.831dB, -24.65dB,-35.74dB and bandwidth 2.18%, 1.9%, 4.7%. Which suggest good antenna perfo rmance.