Results 21 to 30 of about 7,261 (147)
Adaptive Predictive Control: A Data-Driven Closed-Loop Subspace Identification Approach
Abstract and Applied Analysis, 2014 This paper presents a data-driven adaptive predictive control method using closed-loop subspace identification. As the predictor is the key element of the predictive controller, we propose to derive such predictor based on the subspace matrices which are
Xiaosuo Luo, Yongduan Song
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IEEE Access, 2022 This paper provides a subspace method for closed-loop identification, which clearly specifies the model order from noisy measurement data. The method can handle long I/O data of the target system to be noise-tolerant and determine the model order via ...
Ichiro Maruta, Toshiharu Sugie
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Subspace Identification of Local 1D Homogeneous Systems
IFAC-PapersOnLine, 2015 This paper studies the local subspace identification of 1D homogeneous networked systems. The main challenge lies at the unmeasurable interconnection signals between neighboring subsystems. Since there are many unknown inputs to the concerned local system, the corresponding identification problem is semi-blind. To cope with this problem, a nuclear norm
Yu, C. (author) +2 more
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Applied Sciences, 2018 This paper proposes a fault identification method based on an improved stochastic subspace modal identification algorithm to achieve high-performance fault identification of dump truck suspension.
Bingwen Liu +4 more
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Sensors, 2015 Wireless sensor networks (WSNs) facilitate a new paradigm to structural identification and monitoring for civil infrastructure. Conventional structural monitoring systems based on wired sensors and centralized data acquisition systems are costly for ...
Soojin Cho +2 more
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An Improved Selective Ensemble Learning Method for Highway Traffic Flow State Identification
IEEE Access, 2020 Reliable and accurate real-time traffic flow state identification is crucial for an intelligent transportation system (ITS). This identification is a prerequisite for alleviating traffic congestion and improving highway operation efficiency.
Zhanzhong Wang +4 more
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Mathematics, 2023 This paper presents a continuous-time subspace identification method utilizing prior information and generalized orthonormal basis functions. A generalized orthonormal basis is constructed by a rational inner function, and the transformed noises have ...
Miao Yu +3 more
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Nonlinear System Identification Using Hammerstein-Wiener Neural Network and subspace algorithms [PDF]
Journal of Advances in Computer Engineering and Technology, 2015 Neural networks are applicable in identification systems from input-output data. In this report, we analyze theHammerstein-Wiener models and identify them.
Maryam Ashtari Mahini +2 more
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Hankel Matrix Correlation Function-Based Subspace Identification Method for UAV Servo System
International Journal of Aerospace Engineering, 2018 For the identification problem of closed-loop subspace model, we propose a zero space projection method based on the estimation of correlation function to fill the block Hankel matrix of identification model by combining the linear algebra with geometry.
Minghong She, Pengju Zhao
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Wind Energy, 2021 Individual pitch control (IPC) is an effective and widely used strategy to mitigate blade loads in wind turbines. However, conventional IPC fails to cope with blade and actuator faults, and this situation may lead to an emergency shutdown and increased ...
Yichao Liu +5 more
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