BITS Faculty Publications: Recent submissions

Now showing items 8181-8200 of 11948

Intelligent Ratio Control in Presence of Pneumatic Control Valve Stiction

Mishra, Puneet (Springer, 2015-09)

The presence of hard nonlinearities, such as control valve stiction, may severely degrade the plant profitability by introducing limit cycles in the process variable. This paper presents an innovative use of a recently ...
Robust speed control of hybrid electric vehicle using fractional order fuzzy PD and PI controllers in cascade control loop

Mishra, Puneet (Elsevier, 2016-05)

In this paper, a novel scheme is proposed for speed control of highly nonlinear hybrid electric vehicle (HEV) having an electronic throttle control system (ETCS) in the cascade control loop. Fractional order fuzzy PD (FOFPD) ...
A robust fractional order fuzzy P + fuzzy I + fuzzy D controller for nonlinear and uncertain system

Mishra, Puneet (Springer, 2016-06)

In this paper, a robust fractional order fuzzy P + fuzzy I + fuzzy D (FOFP + FOFI + FOFD) controller is presented for a nonlinear and uncertain 2-link planar rigid manipulator. It is a nonlinear fuzzy controller with ...
Self-tuned Robust Fractional Order Fuzzy PD controller for Uncertain and Nonlinear Active Suspension System,

Mishra, Puneet (Springer, 2016-12)

In this paper, a self-tuned robust fractional order fuzzy proportional derivative (FO-FPD) controller is proposed for nonlinear active suspension system of a quarter car. Quarter car is a highly uncertain system as the ...
Cooperative relay beamforming in IDMA communication networks

Mishra, Puneet (Sciendo, 2018-09)

In this paper, a new combination of Interleave division multiple access (IDMA) and spatial diversity offered by cooperativerelay aided distributed beam forming is proposed. In the offered scheme communication strategy ...
A fractional order parallel control structure tuned with meta-heuristic optimization algorithms for enhanced robustness

Mishra, Puneet (Sciendo, 2019-03)

This paper studies an improved fractional order parallel control structure (FOPCS) for enhancing the robustness in anindustrial control loop having a first order process with dead time along with its tuning aspects. Since ...
An efficient method for parameter estimation of a nonlinear system using Backtracking Search Algorithm

Mishra, Puneet (Elsevier, 2018-06)

Tank level systems are ubiquitous in process industries and exhibit a nonlinear nature. This nonlinear behaviour arises prominently due to nonlinear dependence of outflow rate on tank level and/or due to presence of other ...
A Robust Fractional Order Parallel Control Structure for Flow Control using a Pneumatic Control Valve with Nonlinear and Uncertain Dynamics

Mishra, Puneet (Springer, 2018-06)

Control of flow rate in industrial plants is an essential and crucial task, which is usually achieved by pneumatic control valves in industries. Use of these valves often incorporates nonlinear and uncertain dynamics in ...
A Novel Augmented Fractional-Order Fuzzy Controller for Enhanced Robustness in Nonlinear and Uncertain Systems with Optimal Actuator Exertion

Mishra, Puneet (Springer, 2021-03)

An appropriate balance between the controller’s performance and its robustness is a complex design challenge. In order to enhance the control system performance, vigorous and rapid variations in controller output are often ...
Notice of Retraction: Electromagnetic Radiation Due to Cellular, Wi-Fi and Bluetooth Technologies: How Safe Are We?

Chamola, Vinay (IEEE, 2020-02)
Hardware Testbed based Analytical Performance Modelling for Mobile Task Offloading in UAV Edge Cloudlets

Chamola, Vinay (IEEE, 2021)

In recent times, there is a paradigm shift to cloud services that offer on-demand computer system resources, especially data storage and computing power. The main reason for the shift is that it removes the user's active ...
Special issue on scalable and secure platforms for UAV networks

Chamola, Vinay (ACM Digital Library, 2022-01)
Brain–computer interface-based target recognition system using transfer learning: A deep learning approach

Chamola, Vinay (Wiley, 2021-05)

The traditional target recognition and classification is mostly done manually, with low efficiency and high cost. Improving the level of target recognition automatically has become an important research topic. This paper ...
Decentralized Renewable Resource Redistribution and Optimization for Beyond 5G Small Cell Base Stations: A Machine Learning Approach

Chamola, Vinay (IEEE, 2023-03)

Optimal resource provisioning and management of the next generation communication networks are crucial for attaining a seamless quality of service with reduced environmental impact. Considering the ecological assessment, ...
Correction to “ReViewNet: A Fast and Resource Optimized Network for Enabling Safe Autonomous Driving in Hazy Weather Conditions

Chamola, Vinay (IEEE, 2022)
MbRE IDS: An AI and Edge Computing Empowered Framework for Securing Intelligent Transportation Systems

Chamola, Vinay (IEEE, 2022-05)

Recent years have seen a widespread growth of research in the Internet of Things (IoT). While mobility networks such as the Intelligent Transportation Systems (ITS) are being increasingly studied for their application in ...
CellularBlockB5G: A Blockchain-based Multi Operator Spectrum Sharing Simulator for 5G and Beyond Networks

Chamola, Vinay (IEEE, 2023)

The advancement of Fifth-generation networks has enabled service-specific resource provisioning through Network slicing. Moving forward, Beyond 5G (B5G) is the key enabling factor for the next generation of computing ...
Deep Learning Enhanced UAV Imagery for Critical Infrastructure Protection

Chamola, Vinay (IEEE, 2022-06)

Unmanned aerial vehicles (UAVs) have seen a significant increase in their commercial application because of various technological break-throughs. As UAVs are typically used in open environments for purposes such as military ...
Low-Light Image Enhancement for UAVs With Multi-Feature Fusion Deep Neural Networks

Narang, Pratik; Chamola, Vinay (IEEE, 2022-06)

Object detection in low-light aerial images is a challenging problem due to considerable variation in brightness and varying contrast. Deep learning-based approaches have recently demonstrated great promise in image ...
Artificial Intelligence-Empowered Optimal Roadside Unit (RSU) Deployment Mechanism for Internet of Vehicles (IoV)

Chamola, Vinay (IEEE, 2022)

Currently, the world is witnessing a huge growth in additional computing proficiency and extensive network coverage capability, which resulted in a paradigm shift from VANETs to Internet of Vehicles (IoV). Moreover, enhanced ...

Now showing items 8181-8200 of 11948

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