Results 11 to 20 of about 8,961 (241)
Data-Driven Predictive Control With Switched Subspace Matrices for an SCR System
IEEE Access, 2022 Selective catalytic reduction (SCR) systems are distributed systems with strong time-varying parameter characteristics such that an accurate model for it is difficult to establish.
Jinghua Zhao +5 more
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Measurement + Control, 2021 In the wind tunnel test of a long-span bridge model, to ensure that the dynamic characteristics of the model can satisfy the test design requirements, it is particularly important to accurately identify the modal parameters of the model.
Yulin Zhou +5 more
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Subspace System Identification of the Kalman Filter [PDF]
Modeling, Identification and Control, 2003 Some proofs concerning a subspace identification algorithm are presented. It is proved that the Kalman filter gain and the noise innovations process can be identified directly from known input and output data without explicitly solving the Riccati ...
David Di Ruscio
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Applied Sciences, 2020 A large number of research studies in structural health monitoring (SHM) have presented, extended, and used subspace system identification. However, there is a lack of research on systematic literature reviews and surveys of studies in this field ...
Hoofar Shokravi +5 more
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Data-Driven Predictive Control of a Pneumatic Ankle Foot Orthosis
Advances in Electrical and Computer Engineering, 2021 We present the design and control of a pneumatic ankle-foot orthosis (P-AFO) device powered via bi-directional pneumatic rotary actuator and a pneumatic artificial muscle for rehabilitation assistance and treatment of neuromuscular disorders.
ULKIR, O. +3 more
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CESSIPy: A Python open-source module for stochastic system identification in civil engineering
SoftwareX, 2022 This paper presents CESSIPy, a Python open-source module for identifying modal properties of a vibrating structure from output-only measurements. The identified properties are natural frequencies, damping ratios and modal shapes.
Matheus Roman Carini, Marcelo Maia Rocha
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Identification of Physical Helicopter Models Using Subspace Identification
Journal of the American Helicopter Society, 2020 Subspace identification is a powerful tool due to its well-understood techniques based on linear algebra (orthogonal projections and intersections of subspaces) and numerical methods like singular value decomposition. However, the state space model matrices, which are obtained from conventional subspace identification algorithms, are not necessarily ...
Avcioglu, Sevil +2 more
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Linear parameter-varying subspace identification: A unified framework
Automatica, 2021 In this paper, we establish a unified framework for subspace identification (SID) of linear parameter-varying (LPV) systems to estimate LPV state-space (SS) models in innovation form. This framework enables us to derive novel LPV SID schemes that are extensions of existing linear time-invariant (LTI) methods. More specifically, we derive the open-loop,
Cox, Pepijn Bastiaan, Tóth, Roland
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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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High-Speed Railway, 2023 Modal and damage identification based on ambient excitation can greatly improve the efficiency of high-speed railway bridge vibration detection. This paper first describes the basic principles of stochastic subspace identification, peak-picking, and ...
Jiahuan Li +3 more
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