Article
Automation & Control Systems
Xuewei Fu, Xiaofeng Yang, Pericle Zanchetta, Yang Liu, Chenyang Ding, Mi Tang, Zhenyu Chen
Summary: A model-free data-driven adaptive iterative learning approach is proposed for feedforward control in ultra-precision stages, utilizing frequency-response data to update the controller output online. The method is proven effective through theoretical analysis and confirmed through experiments on a linear motor.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2021)
Article
Automation & Control Systems
Wouter B. J. Hakvoort, Michiel A. Beijen
Summary: This article investigates the high-performance vibration isolation achieved by disturbance feedforward control using a self-tuning generalized FIR filter and residual noise shaping. In a multi-input multi-output context, the study proposes filtered-error recursive least squares (FeRLS) self-tuning, which achieves faster and more uniform parameter convergence without pre-whitening compared to filtered-error least mean squares (FeLMS). The efficient implementation is achieved by exploiting sparsity in the matrices involved. Experimental results demonstrate better parameter convergence and the ability to track changes in the floor vibration spectrum in a multi-axis hard-mount vibration isolation setup. A reduction of up to 40 dB in the transmissibility of floor vibrations is obtained in the frequency range of interest, reducing vibration power by 90-94% in the 1-300 Hz frequency band in multiple directions.
Article
Automation & Control Systems
Min Li, Taotao Chen, Rong Cheng, Kaiming Yang, Yu Zhu, Caohui Mao
Summary: The dual-loop iterative learning control (DILC) approach proposed in this article explicitly addresses the design tradeoff between robustness and tracking performance in standard ILC. By adding an additional feedforward signal to eliminate the nonzero asymptotic error caused by the robustness filter, the DILC significantly enhances tracking performance without sacrificing robustness against model uncertainties and disturbances. Application to an ultraprecision wafer stage shows a reduction of 52.7% and 43.9% in peak values of moving average and moving standard deviation of tracking error, respectively.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2022)
Article
Automation & Control Systems
Li Li, Yang Liu, Xuewei Fu, Fazhi Song, Jiubin Tan
Summary: This paper investigates the finite-time stable inversion problem for non-minimum phase systems and proposes a discrete-frequency domain solution. It reveals the accuracy issues of the discrete-frequency domain solution and provides an easy-to-use procedure to improve inversion accuracy using pre-actuation and post-actuation methods. Simulation and experiment results verify the effectiveness of the developed discrete-frequency domain stable inversion technique.
Review
Engineering, Mechanical
Randall J. Allemang, Rohit S. Patwardhan, Murali M. Kolluri, Allyn W. Phillips
Summary: This paper outlines various FRF estimation techniques and compares algorithms that compute FRF using different methods. It also discusses inconsistencies in some conditioned coherence metrics and provides corrected interpretations.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Mathematics, Applied
Pingping Zhang, Qun Wang
Summary: This paper investigates the MLSSTLS problem that combines MTLS and STLS problems, providing explicit expressions of the solution under certain conditions, conducting perturbation analysis and examining the condition numbers of the solution. Numerical experiments are performed to demonstrate the validity of the results, which can be connected to previously published findings on MTLS and STLS problems.
NUMERICAL ALGORITHMS
(2022)
Article
Biochemical Research Methods
Ruoyu Tang, Xinyu He, Ruiqi Wang
Summary: The study presents a general computational method for constructing maps between different cell fates and parametric conditions by systematic perturbations. The method does not require accurate parameter measurements or bifurcations. The maps obtained can help in understanding how systematic perturbations drive cell fate decisions and transitions, providing valuable information for predicting and controlling cell states.
Article
Engineering, Multidisciplinary
Olga Savchuk, Alex A. Volinsky
Summary: This research utilizes nonparametric statistical methods to estimate residual stress in SiC films with non-uniform thickness, establishing a correlation between residual stress and substrate curvature and providing a new approach for research in the field of thin film technology.
Article
Optics
Yong -Mei Li, Hai -Ling Liu, Shi-Jie Pan, Su-Juan Qin, Fei Gao, Dong-Xu Sun, Qiao-Yan Wen
Summary: This paper proposes a complete quantum algorithm for the k-medoids algorithm, which utilizes quantum subroutines to improve the speed of cluster assignment and center update. Compared to existing algorithms, our quantum k-medoids algorithm achieves a polynomial speedup in large data sets.
Article
Mathematics
Kyulee Shin, Sukkyung You, Mihye Kim
Summary: This study explores the structural relationship between students' after-school exercise hours and academic performance exam scores, revealing a positive association compared to the consistently estimated negative relationship by ordinary least squares method. The use of two-stage least squares method provided a new perspective on this relationship without the need for experimental observations or estimation of a full model.
Article
Optics
Zhenyu Li, Hui Zhang, Binh Thi Thanh Nguyen, Shaobo Luo, Patricia Yang Liu, Jun Zou, Yuzhi Shi, Hong Cai, Zhenchuan Yang, Yufeng Jin, Yilong Hao, Yi Zhang, Ai-Qun Liu
Summary: The smart sensor achieves label-free multicomponent chemical analysis with a high prediction accuracy and simple detection strategy using a label-free ring resonator and neural network model, promising great potential for applications in various fields.
PHOTONICS RESEARCH
(2021)
Article
Engineering, Multidisciplinary
Baolei Wei
Summary: Parameter estimation is a crucial step in grey system models for time series modeling and forecasting. This study presents a separable grey system model that encompasses both linear and nonlinear models with separable structural parameters. Three least squares-based strategies are proposed for estimating structural parameters and initial conditions. Nonlinear least squares outperforms the other two strategies, especially in scenarios with large time intervals and high noise levels. Real-world applications demonstrate the effectiveness of the proposed method in forecasting failure times of products and traffic flows.
APPLIED MATHEMATICAL MODELLING
(2023)
Article
Automation & Control Systems
Zhonghao Xie, Xi'an Feng, Xiaojing Chen
Summary: This paper proposes a robust method for PLS based on the idea of least trimmed squares (LTS), which effectively deals with high-dimensional regressors. By formulating the LTS problem as a concave maximization problem, the complexity of solving LTS is simplified. The results from simulation and real data sets demonstrate the effectiveness and robustness of the proposed approach.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
(2022)
Article
Mathematics, Applied
Feng Ding
Summary: Least squares is an important method used for solving linear fitting and quadratic optimization problems. This paper explores the properties of least squares methods and multi-innovation least squares methods, and demonstrates important contributions in the area of system identification such as auxiliary model identification, multi-innovation identification theory, hierarchical identification principle, coupling identification concept, and filtering identification idea. The results of least squares and multi-innovation least squares algorithms for linear regressive systems with white noises can be extended to systems with colored noises.
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS
(2023)
Article
Mathematics, Applied
Baasansuren Jadamba, Akhtar A. Khan, Fabio Raciti, Miguel Sama
Summary: This paper develops a stochastic approximation approach for estimating the flexural rigidity within the framework of variational inequalities. The nonlinear inverse problem is analyzed as a stochastic optimization problem using an energy least-squares formulation. A stochastic variational inequality is solved by a stochastic auxiliary problem principle-based iterative scheme, which satisfies the necessary and sufficient optimality condition for the optimization problem. The convergence analysis for the proposed iterative scheme is given under general conditions on the random noise. Detailed computational results demonstrate the feasibility and efficacy of the proposed methodology.
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION
(2022)
Article
Automation & Control Systems
Andelko Katalenic, Hans Butler, Paul P. J. van den Bosch
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2016)
Article
Acoustics
Michiel A. Beijen, Marcel F. Heertjes, Hans Butler, Maarten Steinbuch
JOURNAL OF SOUND AND VIBRATION
(2018)
Article
Engineering, Multidisciplinary
Ioannis Proimadis, Coen H. H. M. Custers, Roland Toth, J. W. Jansen, Hans Butler, Elena Lomonova, Paul M. J. Van den Hof
Summary: This article describes a method for actively controlling deformations in a magnetically levitated moving-magnet planar motor. The proposed method shapes the force distribution on the moving magnet plate to overcome asymmetric forces and achieve independent control of deformation shapes. Experimental validation demonstrates the effectiveness of this method.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2022)
Proceedings Paper
Automation & Control Systems
Tuan T. Nguyen, Mircea Lazar, Hans Butler
2018 IEEE CONFERENCE ON CONTROL TECHNOLOGY AND APPLICATIONS (CCTA)
(2018)
Proceedings Paper
Automation & Control Systems
Yanin Kasemsinsup, Raffaele Romagnoli, Marcel Heertjes, Siep Weiland, Hans Butler
2017 AMERICAN CONTROL CONFERENCE (ACC)
(2017)
Proceedings Paper
Automation & Control Systems
M. A. Beijen, M. F. Heertjes, H. Butler, M. Steinbuch
Proceedings Paper
Automation & Control Systems
Yanin Kasemsinsup, Marcel Heertjes, Hans Butler, Siep Weiland
2016 EUROPEAN CONTROL CONFERENCE (ECC)
(2016)
Proceedings Paper
Automation & Control Systems
Tuan T. Nguyen, Mircea Lazar, Hans Butler
Proceedings Paper
Automation & Control Systems
M. A. Beijen, M. F. Heertjes, H. Butler, M. Steinbuch
Proceedings Paper
Automation & Control Systems
Tuan T. Nguyen, Mircea Lazar, Hans Butler
2016 IEEE 55TH CONFERENCE ON DECISION AND CONTROL (CDC)
(2016)
Proceedings Paper
Automation & Control Systems
Michiel A. Beijen, Jing Jin, Marcel F. Heertjes, Hans Butler
2016 AMERICAN CONTROL CONFERENCE (ACC)
(2016)
Proceedings Paper
Automation & Control Systems
Tuan T. Nguyen, Mircea Lazar, Hans Butler
2015 19TH INTERNATIONAL CONFERENCE ON SYSTEM THEORY, CONTROL AND COMPUTING (ICSTCC)
(2015)
Proceedings Paper
Automation & Control Systems
K. W. Verkerk, Y. Kasemsinsup, H. Buller, S. Weiland
2015 23RD MEDITERRANEAN CONFERENCE ON CONTROL AND AUTOMATION (MED)
(2015)
Proceedings Paper
Automation & Control Systems
Michiel A. Beijen, Marcel F. Heertjes, Hans Butler, Maarten Steinbuch
2015 AMERICAN CONTROL CONFERENCE (ACC)
(2015)
Proceedings Paper
Automation & Control Systems
Michiel A. Beijen, Marcel F. Heertjes, Hans Butler
2015 IEEE CONFERENCE ON CONTROL AND APPLICATIONS (CCA 2015)
(2015)