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Altinoz OT, Yilmaz AE. Investigation of the Optimal PID-Like Fuzzy Logic Controller for Ball and Beam System with Improved Quantum Particle Swarm Optimization. INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE AND APPLICATIONS 2022. [DOI: 10.1142/s1469026822500250] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Fuzzy Logic Controllers (FLCs) are intelligent control methods, where membership functions and corresponding rules are defined to get a proper control signal. The parameters were defined for these controllers, and they are named as PID-like FLC since the input and output parameters are connected to the Fuzzy controller with integral and derivative action of the error signal to change the behavior/performance of FLC. In this research, three different rule sets for Fuzzy controllers; 3 × 3, 5 × 5, and 7 × 7 are used and parameters are optimized with; differential evolution, genetic algorithm, particle swarm optimization and quantum-behaved particle swarm optimization. In addition to these controllers, a novel algorithm named as improved quantum particle swarm optimization is proposed as a part of this research. The simulation and real-life implementation on the experimental set results of these controllers are discussed in this paper.
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Affiliation(s)
- O. Tolga Altinoz
- Department of Electrical Electronics Engineering, Ankara University, Ankara, Turkey
| | - A. Egemen Yilmaz
- Department of Electrical Electronics Engineering, Ankara University, Ankara, Turkey
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Farjami AA, Yaghoobi M, Kardehi Moghaddam R. Extended cascade chaotic systems and estimation parameters with new chaotic grey wolf algorithm. J EXP THEOR ARTIF IN 2022. [DOI: 10.1080/0952813x.2022.2135613] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Affiliation(s)
- Ali Akbar Farjami
- Department of Electrical Engineering, Mashhad Branch, Islamic Azad University, Mashhad, Iran
| | - Mahdi Yaghoobi
- Department of Electrical Engineering, Mashhad Branch, Islamic Azad University, Mashhad, Iran
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Energy-aware and carbon-efficient VM placement optimization in cloud datacenters using evolutionary computing methods. Soft comput 2022. [DOI: 10.1007/s00500-022-07245-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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LI SHUANGMIAO, LI ZHIWEI, ZHANG JIANHENG, ZHANG HAN. A DENOISING METHOD OF DIAPHRAGM ELECTROMYOGRAM SIGNALS BASED ON DUAL-THRESHOLD FILTER. J MECH MED BIOL 2022. [DOI: 10.1142/s0219519422400097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Diaphragmatic electromyography (EMGdi) signals can effectively reflect human respiratory process and effort, but simultaneously interfered by electrocardiogram (ECG) signals, leading to the limited application of EMGdi signals. Conventional denoising schemes for ECG cancellation from EMGdi signals are usually limited to the cases of irregular ECG signals. For this purpose, this paper proposes a denoising method of ECG signals by using a dual-threshold filter, which performs effectively in the scenarios of irregular ECG condition, such as arrhythmia. Specifically, we first employ wavelet transform to decompose EMGdi signals to wavelets of different frequencies, by which QRS complex detection is performed to determine the location of ECG signals. Then we propose to remove the ECG interference by reforming the interference range with the adjacent signals. Experimental results indicate that the proposed denoising method performs superior to the state-of-the-art schemes, especially for the cases of weak EMGdi signal scenarios.
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Affiliation(s)
- SHUANGMIAO LI
- School of Physics and Telecommunications Engineering, South China Normal University, Guangzhou, Guangdong 510631, P. R. China
- School of Electrical and Information Engineering, South China Normal University, Guangzhou, Guangdong 510631, P. R. China
| | - ZHIWEI LI
- School of Physics and Telecommunications Engineering, South China Normal University, Guangzhou, Guangdong 510631, P. R. China
- School of Electrical and Information Engineering, South China Normal University, Guangzhou, Guangdong 510631, P. R. China
| | - JIANHENG ZHANG
- The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong 520120, P. R. China
| | - HAN ZHANG
- School of Physics and Telecommunications Engineering, South China Normal University, Guangzhou, Guangdong 510631, P. R. China
- School of Electrical and Information Engineering, South China Normal University, Guangzhou, Guangdong 510631, P. R. China
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Sirbiladze G, Garg H, Ghvaberidze B, Matsaberidze B, Khutsishvili I, Midodashvili B. Uncertainty modeling in multi-objective vehicle routing problem under extreme environment. Artif Intell Rev 2022. [DOI: 10.1007/s10462-022-10169-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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