http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : ( Muhammad Bilal Kadri ) (검색결과 3 건)
- 무료
- 기관 내 무료
- 유료
-
Robust Model Free Fuzzy Adaptive Controller with fuzzy and crisp Feedback Error Learning schemes
Muhammad Bilal Kadri 제어로봇시스템학회 2012 제어로봇시스템학회 국제학술대회 논문집 Vol.2012 No.10
The aim of the paper is to investigate the different feedback error learning strategies used in conjunction with the Model Free Fuzzy Adaptive Controller (MFFAC). MFFAC guarantees tight control performance in the presence of disturbances and plant uncertainties. These uncertainties might arise due to the un-modelled dynamics of the plant under control or due to the different sensors introduced in the control loop at various points. The MFFAC is based on the model reference adaptive control (MRAC) philosophy and develops an inverse model of the plant by incorporating feedback error learning (FEL) strategy. The MFFAC is modelled as a fuzzy relational model and the identification scheme used is computationally undemanding. FEL governs the behaviour of the MFFAC during the learning phase i.e. whether the fuzzy controller will behave as a PI, PD or PID controller. It is an integral part of the overall identification scheme because it estimates the correct control signal which is consequently used to update the controller parameters. Fuzzy and crisp versions of the FEL have been studied and the comparison of the different approaches is discussed and their impact on the control performance is elaborated.
-
Nasir, Muhammad Tauseef,Ali, Muhammad Ansab,Khan, Tariq S.,Al-Hajri, Ebrahim,Kadri, Muhammad Bilal,Kim, Kyung Chun Elsevier Sequoia S.A 2019 Energy and buildings Vol.191 No.-
<P><B>Abstract</B></P> <P>Present work aims to investigate the thermal performance assessment of different combinations of working fluids for an Organic Rankine Cycle powered Vapor Compression Cycle (ORC-VCC) for air-conditioning applications. Analysis of system performance is conducted for a fixed cooling load of a small conditioned space having a sensible heat factor of 0.7, at different ambient conditions. A preliminary evaluation of the system at the baseline conditions was conducted considering the second law efficiency, overall heat capacity of exchangers, overall internal exergy destruction, and overall Coefficient of Performance. Afterwards, parametric study was performed for the best performing candidates from the preliminary analysis using second law efficiency and overall heat capacity of heat exchangers. The system parameters considered for the study include saturated temperatures of heat exchangers, ORC boiler superheat, pinch points and the sub-cooling of both the ORC and VCC condensers. Then, multi objective optimization was performed using Genetic Algorithm followed by multi-criteria decision-making using Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to select the best optimal solutions from the Pareto front. Sixteen combinations comprising of four working fluids, R245fa, R600, R600a, and R134a were analyzed. The optimization results showed R245fa ORC-R600a VCC to be the best candidate at ambient conditions of 30 °C, while at 35 °C and 40 °C, R600a ORC-R245fa VCC was found to be the most suitable candidate.</P> <P><B>Highlights</B></P> <P> <UL> <LI> The prospects of different working fluids and their combinations in an ORC driven air conditioning system are investigated. </LI> <LI> Ambient conditions considering the outdoor temperatures of 30 °C, 35 °C and 40 °C with 50% relative humidity is selected. </LI> <LI> Working fluids R245fa, R134a, R600a, and R600, and their combinations are the investigated. </LI> <LI> Sensitivity analysis of different parameters on the second law efficiency and UA values of heat exchangers is evaluated. </LI> <LI> Multi-objective optimization of the exergetic efficiency and the UA values of heat exchangers is carried out. </LI> </UL> </P>
-
( Sameer Qazi ),( Syed Muhammad Atif ),( Muhammad Bilal Kadri ) 한국인터넷정보학회 2018 KSII Transactions on Internet and Information Syst Vol.12 No.10
Traffic Matrix estimation has always caught attention from researchers for better network management and future planning. With the advent of high traffic loads due to Cloud Computing platforms and Software Defined Networking based tunable routing and traffic management algorithms on the Internet, it is more necessary as ever to be able to predict current and future traffic volumes on the network. For large networks such origin-destination traffic prediction problem takes the form of a large under- constrained and under-determined system of equations with a dynamic measurement matrix. Previously, the researchers had relied on the assumption that the measurement (routing) matrix is stationary due to which the schemes are not suitable for modern software defined networks. In this work, we present our Compressed Sensing with Dynamic Model Estimation (CS-DME) architecture suitable for modern software defined networks. Our main contributions are: (1) we formulate an approach in which measurement matrix in the compressed sensing scheme can be accurately and dynamically estimated through a reformulation of the problem based on traffic demands. (2) We show that the problem formulation using a dynamic measurement matrix based on instantaneous traffic demands may be used instead of a stationary binary routing matrix which is more suitable to modern Software Defined Networks that are constantly evolving in terms of routing by inspection of its Eigen Spectrum using two real world datasets. (3) We also show that linking this compressed measurement matrix dynamically with the measured parameters can lead to acceptable estimation of Origin Destination (OD) Traffic flows with marginally poor results with other state-of-art schemes relying on fixed measurement matrices. (4) Furthermore, using this compressed reformulated problem, a new strategy for selection of vantage points for most efficient traffic matrix estimation is also presented through a secondary compression technique based on subset of link measurements . Experimental evaluation of proposed technique using real world datasets Abilene and GEANT shows that the technique is practical to be used in modern software defined networks. Further, the performance of the scheme is compared with recent state of the art techniques proposed in research literature.
연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
