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您的检索式：作者名="Muhammad Babar Nazir"
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| 1 | Optimization Based on Convergence Velocity and Reliability for Hydraulic Servo System显示文摘This article presents an optimal hybrid fuzzy proportion integral derivative(HFPID) controller based on combination of proportion integral derivative(PID) and fuzzy controllers,by which the parameters could be evaluated by global optimization either in convergence velocity or in convergence reliability.Focusing on the nonlinear factors of hydraulic servo system,this article takes advantage of PID and fuzzy logic controller integrated with scaling factors to acquire precise tracking performances.To further improve the performances,it provides new developed optimization with rapid convergence to attain reliable approach probability.Focusing on the performance indictors of evolutionary algorithm,this article presents a new technique to predict reliability of the optimization algorithm.Statistics authenticates the effectiveness and robustness of the optimization.Further,many simulation and experimental results indicate that the optimal HFPID could acquire perfect immunity against parametric uncertainties with external disturbance. | Muhammad Babar Nazir | 2009 | Chinese Journal of Aeronautics2009，22，4： | 5 |
| 2 | Fine tuning of fuzzy rule-base system and rule set reduction using statistical analysis 显示文摘 | Muhammad Babar Nazir Shaoping Wang | 2011 | Journal Dynamic Systems Measurement and Control2011，133，4： | 1 |
| 3 | Adaptive Runtime Monitoring of Service Level Agreement Violations in Cloud Computing显示文摘The cloud service level agreement(SLA)manage the relationship between service providers and consumers in cloud computing.SLA is an integral and critical part of modern era IT vendors and communication contracts.Due to low cost and flexibility more and more consumers delegate their tasks to cloud providers,the SLA emerges as a key aspect between the consumers and providers.Continuous monitoring of Quality of Service(QoS)attributes is required to implement SLAs because of the complex nature of cloud communication.Many other factors,such as user reliability,satisfaction,and penalty on violations are also taken into account.Currently,there is no such policy of cloud SLA monitoring to minimize SLA violations.In this work,we have proposed a cloud SLA monitoring policy by dividing a monitoring session into two parts,for critical and non-critical parameters.The critical and non-critical parameters will be decided on the interest of the consumer during SLA negotiation.This will help to shape a new comprehensive SLA based Proactive Resource Allocation Approach(RPAA)which will monitor SLA at runtime,analyze the SLA parameters and try to find the possibility of SLA violations.We also have implemented an adaptive system for allocating cloud IT resources based on SLA violations and detection.We have defined two main components of SLA-PRAA i.e.,(a)Handler and(b)Accounting and Billing Manager.We have also described the function of both components through algorithms.The experimental results validate the performance of our proposed method in comparison with state-of-the-art cloud SLA policies. | Sami Ullah Khan Babar Nazir Muhammad Hanif Akhtar Ali Sardar Alam Usman Habib | 2022 | Computers, Materials & Continua2022，，6： | 0 |
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