TY  - JOUR
A1  - Harirchian, Ehsan
A1  - Lahmer, Tom
T1  - Improved Rapid Visual Earthquake Hazard Safety Evaluation of Existing Buildings Using a Type-2 Fuzzy Logic Model
JF  - Applied Sciences
N2  - Rapid Visual Screening (RVS) is a procedure that estimates structural scores for buildings and prioritizes their retrofit and upgrade requirements. Despite the speed and simplicity of RVS, many of the collected parameters are non-commensurable and include subjectivity due to visual observations. This might cause uncertainties in the evaluation, which emphasizes the use of a fuzzy-based method. This study aims to propose a novel RVS methodology based on the interval type-2 fuzzy logic system (IT2FLS) to set the priority of vulnerable building to undergo detailed assessment while covering uncertainties and minimizing their effects during evaluation. The proposed method estimates the vulnerability of a building, in terms of Damage Index, considering the number of stories, age of building, plan irregularity, vertical irregularity, building quality, and peak ground velocity, as inputs with a single output variable. Applicability of the proposed method has been investigated using a post-earthquake damage database of reinforced concrete buildings from the Bingöl and Düzce earthquakes in Turkey.
KW  - Fuzzy-Logik
KW  - Erdbeben
KW  - Fuzzy Logic
KW  - Rapid Visual Screening
KW  - Vulnerability assessment
KW  - OA-Publikationsfonds2020
Y1  - 2020
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:gbv:wim2-20200331-41161
UR  - https://www.mdpi.com/2076-3417/10/7/2375
VL  - 2020
IS  - Volume 10, Issue 3, 2375
PB  - MDPI
CY  - Basel
ER  - 
TY  - JOUR
A1  - Mosavi, Amir Hosein
A1  - Qasem, Sultan Noman
A1  - Shokri, Manouchehr
A1  - Band, Shahab S.
A1  - Mohammadzadeh, Ardashir
T1  - Fractional-Order Fuzzy Control Approach for Photovoltaic/Battery Systems under Unknown Dynamics, Variable Irradiation and Temperature
JF  - Electronics
N2  - For this paper, the problem of energy/voltage management in photovoltaic (PV)/battery systems was studied, and a new fractional-order control system on basis of type-3 (T3) fuzzy logic systems (FLSs) was developed. New fractional-order learning rules are derived for tuning of T3-FLSs such that the stability is ensured. In addition, using fractional-order calculus, the robustness was studied versus dynamic uncertainties, perturbation of irradiation, and temperature and abruptly faults in output loads, and, subsequently, new compensators were proposed. In several examinations under difficult operation conditions, such as random temperature, variable irradiation, and abrupt changes in output load, the capability of the schemed controller was verified. In addition, in comparison with other methods, such as proportional-derivative-integral (PID), sliding mode controller (SMC), passivity-based control systems (PBC), and linear quadratic regulator (LQR), the superiority of the suggested method was demonstrated.
KW  - Fuzzy-Logik
KW  - Fotovoltaik
KW  - type-3 fuzzy systems
KW  - fractional-order control
KW  - battery
KW  - photovoltaic
KW  - OA-Publikationsfonds2020
Y1  - 2020
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:gbv:wim2-20210122-43381
UR  - https://www.mdpi.com/2079-9292/9/9/1455
VL  - 2020
IS  - Volume 9, issue 9, article 1455
SP  - 1
EP  - 19
PB  - MDPI
CY  - Basel
ER  -