MODEL IDENTIFICATION AND LEVEL CONTROL OF COUPLED TANKS SYSTEM by OKUBANJO AYODEJI, OKANDEJI ALEXANDER, ALAO PETER, OLALUWOYE OLAWALE, ONAIFO FRANK, MUFUTAU OLAYEMI

Subjects: “…PID Controller, Coupled-tank, Water level control, System identification, PID turning method…”
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Identification Procedures as Tools for Fault Diagnosis of Rotating Machinery by Susanne Seibold, Claus-Peter Fritzen

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Typhoon Cloud System Identification and Forecasting Using the Feng-Yun 4A/Advanced Geosynchronous Radiation Imager Based on an Improved Fuzzy Clustering and Optical Flow Method by Gen Wang, Dongyong Wang, Wei Han, Jian Yin

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FOPID controller design for pneumatic control valves with ultra-low overshoot, rapid response and enhanced robustness by Yuxin He, Aixiang Ma, Yuehui Wang, Xinyi Tian, Sihai Zhao

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Fractional-Order Sliding Mode Terrain-Tracking Control of Autonomous Underwater Vehicle with Sparse Identification by Zheping Yan, Lichao Hao, Qiqi Pi, Tao Chen

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Modeling solar power plants with daily data using genetic programming and equivalent circuit by Alireza Reisi, Abbas‐Ali Zamani, Seyyed Masoud Barakati

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Prediction of the RFID Identification Rate Based on the Neighborhood Rough Set and Random Forest for Robot Application Scenarios by Hong-Gang Wang, Shan-Shan Wang, Ruo-Yu Pan, Sheng-Li Pang, Xiao-Song Liu, Zhi-Yong Luo, Sheng-Pei Zhou

“…Firstly, the initial influencing factors of the RFID system identification rate are reduced using neighborhood rough set theory combined with the principle of heuristic attribute reduction of neighborhood weighted dependency, thus obtaining a kernel factor subset. …”
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Recent Advances in Bidirectional Modeling and Structural Control by Satyam Paul, Wen Yu, Xiaoou Li

“…This paper also highlights the various issues like system identification techniques, the time-delay in the system, estimation of velocity and position from acceleration signals, and optimal placement of the sensors and control devices. …”
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An Integrated Test-Based Nonlinear Aeroelastic Analysis Method to Freeplay-Induced Limit-Cycle Oscillations by Yukai Sun, Zhigang Wu, Chao Yang, Xiangyu Wang, Chuansheng Wang

“…An integrated nonlinear aeroelastic analysis method and procedure based on the nonlinear system identification technology is proposed. Based on the characteristics of the structure, a low-speed nonlinear flutter wing-aileron model that considers both the linear flutter test and the nonlinear limit-cycle oscillation test with aileron rotational freeplay is designed. …”
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s-Goodness for Low-Rank Matrix Recovery by Lingchen Kong, Levent Tunçel, Naihua Xiu

“…Low-rank matrix recovery (LMR) is a rank minimization problem subject to linear equality constraints, and it arises in many fields such as signal and image processing, statistics, computer vision, and system identification and control. This class of optimization problems is generally 𝒩𝒫 hard. …”
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Research for Pedestrian Steel Bridge Design of Neural Network in Structural Model Updating by Rui Zhao, Yuhang Wu, Zehua Feng

“…The application of the neural network method in health monitoring and structural system identification has received extensive attention. A reasonable neural network structure is very important for its performance. …”
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Identification of Industrial Furnace Temperature for Sintering Process in Nuclear Fuel Fabrication Using NARX Neural Networks by Dede Sutarya, Benyamin Kusumoputro

“…Nonlinear system identification is becoming an important tool which can be used to improve control performance and achieve robust fault-tolerant behavior. …”
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Robust identification for input non‐uniformly sampled Wiener model by the expectation‐maximisation algorithm by Qibing Jin, Zeyu Wang

“…Abstract The problems of inconsistent data sampling frequency, outliers, and coloured noise often exist in system identification, resulting in unsatisfactory identification results. …”
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Health Assessment of Large Two Dimensional Structures Using Limited Information: Recent Advances by Ajoy Kumar Das, Achintya Haldar, Subrata Chakraborty

“…The procedure is a finite elements-based time-domain system-identification technique. It can assess structural health at the element level using only limited number of noise-contaminated responses. …”
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Nonlinear connectedness of conventional crypto-assets and sustainable crypto-assets with climate change: A complex systems modelling approach. by Mushtaq Hussain Khan, Shreya Macherla, Angesh Anupam

“…For the first time, this study aims to provide a data-driven Nonlinear System Identification technique to study the nonlinear connectedness of crypto-assets with CO2 emissions. …”
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Evaluation of Seismic Response Trends from Long-Term Monitoring of Two Instrumented RC Buildings Including Soil-Structure Interaction by Faheem Butt, Piotr Omenzetter

“…Statistical analysis of the relationships between maximum free field accelerations and responses at different points on the buildings was conducted and demonstrated strong correlation between those. System identification studies using recorded accelerations were undertaken and revealed that natural frequencies and damping ratios of the building structures vary during different earthquake excitations. …”
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Modal Parameters Identification Method Based on Symplectic Geometry Model Decomposition by Hang Jin, Jianhui Lin, Xieqi Chen, Cai Yi

“…Both simulated data verification and measured data verification were used to verify if the method proposed in this article is effective for time-invariant system and time-variant system identification. For the simulated data, we study on a structural system which is set up with time-variant stiffness and time-invariant system. …”
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Investigation of Time Series Representations and Similarity Measures for Structural Damage Pattern Recognition by Wenjia Liu, Bo Chen, R. Andrew Swartz

“…The test data used in this study are from the System Identification to Monitor Civil Engineering Structures (SIMCES) Z24 Bridge damage detection tests, a rigorous instrumentation campaign that recorded the dynamic performance of a concrete box-girder bridge under progressively increasing damage scenarios. …”
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Combing Instrumental Variable and Variance Matching for Aircraft Flutter Model Parameters Identification by Hong Jianwang, Ricardo A. Ramirez-Mendoza, Jorge de J. Lozoya Santos

“…So, here we combine the instrumental variable method in system identification theory and variance matching in modern spectrum theory to propose a new identification strategy: instrumental variable variance method. …”
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Identification of a Typical CSTR Using Optimal Focused Time Lagged Recurrent Neural Network Model with Gamma Memory Filter by S. N. Naikwad, S. V. Dudul

“…It is demonstrated that dynamic NN model has a remarkable system identification capability for the problems considered in this paper. …”
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