Håvard Kjellmo Arnestad - IEEE Xplore Author Profile

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Author details

Håvard Kjellmo Arnestad

Also published under: Havard Arnestad

Publications

5

Citations

17

Publications by Year

20192025

Co-Authors:

Andreas AustengHugo BajasMarta BajkoLorenzo BortotLuca Bottura

Show All Co-Authors (28)

Håvard Kjellmo Arnestad

Also published under: Havard Arnestad

Affiliation

Department of Informatics

University of Oslo

Oslo, Norway

Publication Topics

Adaptive Beamforming,
Array Elements,
Ultrasound Imaging,
Apodization,
Array Aperture,
Array Design,
Array Pattern,
B-mode Images,
Bandwidth Selection,
Beamforming,
Beampattern,
Bin Width

Biography

Håvard Kjellmo Arnestad (Graduate Student Member, IEEE) was born in Oslo, Norway, in 1994. He received the M.Sc. degree in engineering physics from Norwegian University of Science and Technology, Trondheim, Norway, in 2021. He is currently pursuing the Ph.D. degree in acoustic imaging with the University of Oslo. Previously, he was with CERN as a Technical Student and twice as a Summer Intern with Cisco doing audio engineering and deep learning.(Based on document published on 19 August 2024).

Publications

5

Citations

17

Publications by Year

20192025

Co-Authors:

Andreas Austeng
Hugo Bajas
Marta Bajko
Lorenzo Bortot
Luca Bottura

Show All Co-Authors (28)

Author's Published Works

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Showing 1-25 of 74 results

Conferences (43)

Journals (31)

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Department of Mechanical and Aerospace Engineering, University of California, Los Angeles, CA, USA(11)
Mechanical and Aerospace Engineering Department, University of California, Los Angeles, CA, USA(7)
Mechanical and Aerospace Engineering Department, University of California, Los Angeles, USA(4)
Mechanical and AeroSpace Engineering Department, University of California, Los Angeles, CA, USA(4)
Department of Mechanical Engineering, National Taiwan University, Taipei, Taiwan(4)
IEEE/ASME Transactions on Mechatronics(16)
IEEE Robotics and Automation Letters(5)
IEEE Transactions on Control Systems Technology(5)
2009 American Control Conference(4)
1992 American Control Conference(3)
IEEE(74)
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Adaptive Control(24)
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Results

Novel Sensory Tool Holder Design and Optimization for Multiaxis Cutting Force Sensing in Manufacturing

Her-Terng Yau;Song-Wei Hong;Chung-Yang Sue;Tsu-Chin Tsao

IEEE/ASME Transactions on Mechatronics

Year: 2024 | Volume: 29, Issue: 4 | Journal Article |

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Multiaxis cutting force sensors enable smart process control and tool condition monitoring in manufacturing; they allow the detection of workpiece damage and suboptimal surface finish, which can arise from tool wear. Existing methods require complex structure modifications to enhance sensor sensitivity, leading to weakened processing performance and expensive customization costs. This article desc...Show More

Novel Sensory Tool Holder Design and Optimization for Multiaxis Cutting Force Sensing in Manufacturing

Her-Terng Yau;Song-Wei Hong;Chung-Yang Sue;Tsu-Chin Tsao

IEEE/ASME Transactions on Mechatronics

Year: 2024 | Volume: 29, Issue: 4 | Journal Article |

Fault-Tolerant Control of an Overactuated UAV Platform Built on Quadcopters and Passive Hinges

Yao Su;Pengkang Yu;Matthew J. Gerber;Lecheng Ruan;Tsu-Chin Tsao

IEEE/ASME Transactions on Mechatronics

Year: 2024 | Volume: 29, Issue: 1 | Journal Article |

Cited by: Papers (13)

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Propeller failure is a major cause of multirotor unmanned aerial vehicles (UAVs) crashes. While conventional multirotor systems struggle to address this issue due to underactuation, overactuated platforms can continue flying with appropriate fault-tolerant control (FTC). This article presents a robust FTC controller for an overactuated UAV platform composed of quadcopters mounted on passive joints...Show More

Fault-Tolerant Control of an Overactuated UAV Platform Built on Quadcopters and Passive Hinges

Yao Su;Pengkang Yu;Matthew J. Gerber;Lecheng Ruan;Tsu-Chin Tsao

IEEE/ASME Transactions on Mechatronics

Year: 2024 | Volume: 29, Issue: 1 | Journal Article |

Accurate Robotic Posterior Capsule Polishing With Tissue Stabilization

Yu-Hsiu Lee;Yu-Ting Lai;Matthew J. Gerber;Jaime Dodds;Jean-Pierre Hubschman;Jacob Rosen;Tsu-Chin Tsao

IEEE/ASME Transactions on Mechatronics

Year: 2024 | Volume: 29, Issue: 1 | Journal Article |

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Within cataract surgery, posterior capsule (PC) polishing is a specific procedure that has demonstrated value toward improving surgical outcomes, yet is not commonly performed by surgeons due to the risk of doing so. In this work, a robotic system is used to perform the polishing procedure through three main contributions: external stabilization of the eye using a dedicated docking device, regulat...Show More

Accurate Robotic Posterior Capsule Polishing With Tissue Stabilization

Yu-Hsiu Lee;Yu-Ting Lai;Matthew J. Gerber;Jaime Dodds;Jean-Pierre Hubschman;Jacob Rosen;Tsu-Chin Tsao

IEEE/ASME Transactions on Mechatronics

Year: 2024 | Volume: 29, Issue: 1 | Journal Article |

Compensating Aerodynamics of Over-Actuated Multi-Rotor Aerial Platform With Data-Driven Iterative Learning Control

Pengkang Yu;Yao Su;Lecheng Ruan;Tsu-Chin Tsao

IEEE Robotics and Automation Letters

Year: 2023 | Volume: 8, Issue: 10 | Journal Article |

Cited by: Papers (7)

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The performance of over-actuated Unmanned Aerial Vehicles (UAVs) is significantly influenced by aerodynamic effects, as they are subject to different airflow conditions. For those aerodynamic effects that are difficult to model but could occur repeatedly, Iterative Learning Control (ILC) has great potential to improve the system performance by learning from the error of previous trials. In this le...Show More

Compensating Aerodynamics of Over-Actuated Multi-Rotor Aerial Platform With Data-Driven Iterative Learning Control

Pengkang Yu;Yao Su;Lecheng Ruan;Tsu-Chin Tsao

IEEE Robotics and Automation Letters

Year: 2023 | Volume: 8, Issue: 10 | Journal Article |

Data-Driven Iterative Learning Control of Nonlinear Systems by Adaptive Model Matching

Yu-Hsiu Lee;Sandeep Rai;Tsu-Chin Tsao

IEEE/ASME Transactions on Mechatronics

Year: 2022 | Volume: 27, Issue: 6 | Journal Article |

Cited by: Papers (2)

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Iterative learning control (ILC) has proven successful in the industry for enhancing tracking performance of repetitive tasks. The high accuracy and fast convergence of ILC algorithms hinge on: 1) the knowledge of the system model and 2) an effective learning algorithm. For general industrial systems with nonlinear dynamics, this raises technical challenges because acquiring a nonlinear dynamical ...Show More

Data-Driven Iterative Learning Control of Nonlinear Systems by Adaptive Model Matching

Yu-Hsiu Lee;Sandeep Rai;Tsu-Chin Tsao

IEEE/ASME Transactions on Mechatronics

Year: 2022 | Volume: 27, Issue: 6 | Journal Article |

A Fast and Efficient Attitude Control Algorithm of a Tilt-Rotor Aerial Platform Using Inputs Redundancies

Yao Su;Lecheng Ruan;Pengkang Yu;Chen-Huan Pi;Matthew J. Gerber;Tsu-Chin Tsao

IEEE Robotics and Automation Letters

Year: 2022 | Volume: 7, Issue: 2 | Journal Article |

Cited by: Papers (18)

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Overactuated multirotor unmanned aerial vehicles (UAVs) usually consist of multiple tiltable thrust actuators. The controllers are mostly designed by regarding the thrust forces and actuator tilting angles as inputs of outer-loop position and attitude controllers, while formulating an inner-loop controller for each actuator to track the thrust and angle as required by the outer-loop. This hierarch...Show More

A Fast and Efficient Attitude Control Algorithm of a Tilt-Rotor Aerial Platform Using Inputs Redundancies

Yao Su;Lecheng Ruan;Pengkang Yu;Chen-Huan Pi;Matthew J. Gerber;Tsu-Chin Tsao

IEEE Robotics and Automation Letters

Year: 2022 | Volume: 7, Issue: 2 | Journal Article |

Accelerated Convergence Interleaving Iterative Learning Control and Inverse Dynamics Identification

Cheng-Wei Chen;Tsu-Chin Tsao

IEEE Transactions on Control Systems Technology

Year: 2022 | Volume: 30, Issue: 1 | Journal Article |

Cited by: Papers (11)

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This work aims to quickly identify an FIR inverse dynamical model for linear time-invariant (LTI) systems. Various applications are enabled using the constructed inverse filter, as illustrated by an inversion-based iterative learning control (ILC) algorithm. With the help of interleaving inversion-based ILC and ILC-based inverse dynamics identification, accelerated convergence is obtained. The pro...Show More

Accelerated Convergence Interleaving Iterative Learning Control and Inverse Dynamics Identification

Cheng-Wei Chen;Tsu-Chin Tsao

IEEE Transactions on Control Systems Technology

Year: 2022 | Volume: 30, Issue: 1 | Journal Article |

A Simple Six Degree-of-Freedom Aerial Vehicle Built on Quadcopters

Chen-Huan Pi;Lecheng Ruan;Pengkang Yu;Yao Su;Stone Cheng;Tsu-Chin Tsao

2021 IEEE Conference on Control Technology and Applications (CCTA)

Year: 2021 | Conference Paper |

Cited by: Papers (16)

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Conventional multirotors have coupling between position and attitude control due to underactuation in dynamics, and thus can not track six degree-of-freedom (DoF) trajectories in space. Previous works proposed fully actuated multirotors with modifications to mechanical structure to provide varying orientations of thrust forces without changing the attitude, but usually introduced additional actuat...Show More

A Simple Six Degree-of-Freedom Aerial Vehicle Built on Quadcopters

Chen-Huan Pi;Lecheng Ruan;Pengkang Yu;Yao Su;Stone Cheng;Tsu-Chin Tsao

2021 IEEE Conference on Control Technology and Applications (CCTA)

Year: 2021 | Conference Paper |

Physics-Driven Mask R-CNN for Physical Needle Localization in MRI-Guided Percutaneous Interventions

Xinzhou Li;Yu-Hsiu Lee;David S. Lu;Tsu-Chin Tsao;Holden H. Wu

Year: 2021 | Volume: 9 | Journal Article |

Cited by: Papers (2)

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Discrepancies between the needle feature position on magnetic resonance imaging (MRI) and the underlying physical needle position could increase localization errors during needle-based targeting procedures in MRI-guided percutaneous interventions. This work aimed to develop a deep learning-based framework to automatically localize the physical needle position using only the needle features on MR i...Show More

Physics-Driven Mask R-CNN for Physical Needle Localization in MRI-Guided Percutaneous Interventions

Xinzhou Li;Yu-Hsiu Lee;David S. Lu;Tsu-Chin Tsao;Holden H. Wu

Year: 2021 | Volume: 9 | Journal Article |

Nullspace-Based Control Allocation of Overactuated UAV Platforms

Yao Su;Pengkang Yu;Matthew J. Gerber;Lecheng Ruan;Tsu-Chin Tsao

IEEE Robotics and Automation Letters

Year: 2021 | Volume: 6, Issue: 4 | Journal Article |

Cited by: Papers (28)

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Multirotor copters with full six Degree of Freedom (DoF) maneuvering are often overactuated. The control allocation of overactuated UAV platforms can have an infinite number of solutions due to their redundancy. The most common allocation framework is based on Force Decomposition (FD), which provides a robust least-square solution and is easy to implement, but it does not account for input constra...Show More

Nullspace-Based Control Allocation of Overactuated UAV Platforms

Yao Su;Pengkang Yu;Matthew J. Gerber;Lecheng Ruan;Tsu-Chin Tsao

IEEE Robotics and Automation Letters

Year: 2021 | Volume: 6, Issue: 4 | Journal Article |

An Over-Actuated Multi-Rotor Aerial Vehicle With Unconstrained Attitude Angles and High Thrust Efficiencies

Pengkang Yu;Yao Su;Matthew J. Gerber;Lecheng Ruan;Tsu-Chin Tsao

IEEE Robotics and Automation Letters

Year: 2021 | Volume: 6, Issue: 4 | Journal Article |

Cited by: Papers (24)

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Fully-actuated multi-rotor aerial platforms are receiving increasing research interests for the capability of six degree-of-freedom (DOF) motions such as hovering at non-horizontal attitude angles. Existing real world hardware and experiments have demonstrated such capability for a limited range of angles. This letter presents an aerial platform that achieves maneuvering at arbitrary attitudes wit...Show More

An Over-Actuated Multi-Rotor Aerial Vehicle With Unconstrained Attitude Angles and High Thrust Efficiencies

Pengkang Yu;Yao Su;Matthew J. Gerber;Lecheng Ruan;Tsu-Chin Tsao

IEEE Robotics and Automation Letters

Year: 2021 | Volume: 6, Issue: 4 | Journal Article |

Semi-Automated Extraction of Lens Fragments Via a Surgical Robot Using Semantic Segmentation of OCT Images With Deep Learning - Experimental Results in Ex Vivo Animal Model

Changyeob Shin;Matthew J. Gerber;Yu-Hsiu Lee;Mercedes Rodriguez;Sahba Aghajani Pedram;Jean-Pierre Hubschman;Tsu-Chin Tsao;Jacob Rosen

IEEE Robotics and Automation Letters

Year: 2021 | Volume: 6, Issue: 3 | Journal Article |

Cited by: Papers (6)

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The overarching goal of this letter is to demonstrate the feasibility of using optical coherence tomography (OCT) to guide a robotic system to extract lens fragments from ex vivo pig eyes. A convolutional neural network (CNN) was developed to semantically segment four intraocular structures (lens material, capsule, cornea, and iris) from OCT images. The neural network was trained on images from te...Show More

Semi-Automated Extraction of Lens Fragments Via a Surgical Robot Using Semantic Segmentation of OCT Images With Deep Learning - Experimental Results in Ex Vivo Animal Model

Changyeob Shin;Matthew J. Gerber;Yu-Hsiu Lee;Mercedes Rodriguez;Sahba Aghajani Pedram;Jean-Pierre Hubschman;Tsu-Chin Tsao;Jacob Rosen

IEEE Robotics and Automation Letters

Year: 2021 | Volume: 6, Issue: 3 | Journal Article |

Automated Retinal Vein Cannulation on Silicone Phantoms Using Optical-Coherence-Tomography-Guided Robotic Manipulations

Matthew J. Gerber;Jean-Pierre Hubschman;Tsu-Chin Tsao

IEEE/ASME Transactions on Mechatronics

Year: 2021 | Volume: 26, Issue: 5 | Journal Article |

Cited by: Papers (9)

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Retinal vein of the most common causes of vision loss, occurring when a blood clot or other obstruction occludes a retinal vein. A potential remedy for retinal vein occlusion is retinal vein cannulation, a surgical procedure that involves infusing the occluded vein with a fibrinolytic drug to restore blood flow through the vascular lumen. This article presents an image-guided robotic system capabl...Show More

Automated Retinal Vein Cannulation on Silicone Phantoms Using Optical-Coherence-Tomography-Guided Robotic Manipulations

Matthew J. Gerber;Jean-Pierre Hubschman;Tsu-Chin Tsao

IEEE/ASME Transactions on Mechatronics

Year: 2021 | Volume: 26, Issue: 5 | Journal Article |

Active Transmission Module for Generator Speed Regulation

I-Haur Tsai;Jia-Yush Yen;Tsu-Chin Tsao;Chien-Yao Huang

Year: 2020 | Volume: 8 | Journal Article |

Cited by: Papers (1)

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In this paper, an active transmission motion control system is proposed that appropriately regulates the speed of a generator. In conventional approaches to power electronic control, an AC/DC frequency converter is essential for the generator to be directly connected to the grid because of the generator's irregular power output. In this paper, a mechanical motion control structure is proposed, whe...Show More

Active Transmission Module for Generator Speed Regulation

I-Haur Tsai;Jia-Yush Yen;Tsu-Chin Tsao;Chien-Yao Huang

Year: 2020 | Volume: 8 | Journal Article |

Adaptive Tracking Control of One-Dimensional Respiration Induced Moving Targets by Real-Time Magnetic Resonance Imaging Feedback

Yu-Hsiu Lee;Xinzhou Li;James Simonelli;David Lu;Holden H. Wu;Tsu-Chin Tsao

IEEE/ASME Transactions on Mechatronics

Year: 2020 | Volume: 25, Issue: 4 | Journal Article |

Cited by: Papers (3)

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One of the main challenges in magnetic resonance imaging (MRI) guided interventions is for an instrument to access and track a respiration-induced moving target inside the patient. In this article, we present a mechatronic system that demonstrates such capability for one-dimensional motion in phantom experiments. Our system consists of real-time sensing by MRI acquisition, detection, and localizat...Show More

Adaptive Tracking Control of One-Dimensional Respiration Induced Moving Targets by Real-Time Magnetic Resonance Imaging Feedback

Yu-Hsiu Lee;Xinzhou Li;James Simonelli;David Lu;Holden H. Wu;Tsu-Chin Tsao

IEEE/ASME Transactions on Mechatronics

Year: 2020 | Volume: 25, Issue: 4 | Journal Article |

Hydrostatic Actuation for Remote Operations in MR Environment

James Simonelli;Yu-Hsiu Lee;Cheng-Wei Chen;Xinzhou Li;Samantha Mikaiel;David Lu;Holden H. Wu;Tsu-Chin Tsao

IEEE/ASME Transactions on Mechatronics

Year: 2020 | Volume: 25, Issue: 2 | Journal Article |

Cited by: Papers (10)

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This article presents a novel design and experiment of a system of hydrostatic actuation, transmission network, and control as a research platform for investigating magnetic resonance image (MRI) based tracking and intervention of a moving target. Based on novel double-acting piston-cylinder type rolling diaphragm fluid actuators, the system comprises two remotely controlled modules, an instrument...Show More

Hydrostatic Actuation for Remote Operations in MR Environment

James Simonelli;Yu-Hsiu Lee;Cheng-Wei Chen;Xinzhou Li;Samantha Mikaiel;David Lu;Holden H. Wu;Tsu-Chin Tsao

IEEE/ASME Transactions on Mechatronics

Year: 2020 | Volume: 25, Issue: 2 | Journal Article |

Iterative Learning of Dynamic Inverse Filters for Feedforward Tracking Control

Cheng-Wei Chen;Sandeep Rai;Tsu-Chin Tsao

IEEE/ASME Transactions on Mechatronics

Year: 2020 | Volume: 25, Issue: 1 | Journal Article |

Cited by: Papers (20)

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A novel method to construct dynamic inversion compensation is proposed for feedforward tracking control. In contrast to common approaches involving parametric system identification followed by inversion synthesis, in this article we apply iterative learning control to track an impulse signal, where the converged control input is directly used to construct the inverse filter. The method is applicab...Show More

Iterative Learning of Dynamic Inverse Filters for Feedforward Tracking Control

Cheng-Wei Chen;Sandeep Rai;Tsu-Chin Tsao

IEEE/ASME Transactions on Mechatronics

Year: 2020 | Volume: 25, Issue: 1 | Journal Article |

Respiratory Motion Prediction Using Fusion-Based Multi-Rate Kalman Filtering and Real-Time Golden-Angle Radial MRI

Xinzhou Li;Yu-Hsiu Lee;Samantha Mikaiel;James Simonelli;Tsu-Chin Tsao;Holden H. Wu

IEEE Transactions on Biomedical Engineering

Year: 2020 | Volume: 67, Issue: 6 | Journal Article |

Cited by: Papers (10)

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Objective: Magnetic resonance imaging (MRI) can provide guidance for interventions in organs affected by respiration (e.g., liver). This study aims to: 1) investigate image-based and surrogate-based motion tracking methods using real-time golden-angle radial MRI; and 2) propose and evaluate a new fusion-based respiratory motion prediction framework with multi-rate Kalman filtering. Methods: Images...Show More

Respiratory Motion Prediction Using Fusion-Based Multi-Rate Kalman Filtering and Real-Time Golden-Angle Radial MRI

Xinzhou Li;Yu-Hsiu Lee;Samantha Mikaiel;James Simonelli;Tsu-Chin Tsao;Holden H. Wu

IEEE Transactions on Biomedical Engineering

Year: 2020 | Volume: 67, Issue: 6 | Journal Article |

Robust Disturbance Estimation ‐ An Integrated Game Theoretic and Unknown Input Observer Approach

Shahin Rouhani;Tsu-Chin Tsao;Jason L. Speyer

2019 American Control Conference (ACC)

Year: 2019 | Conference Paper |

Cited by: Papers (2)

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This paper presents a new method of disturbance estimation in discrete time invariant linear systems using game theoretic detection filters. First, the direct unknown input observer (UIO) design is reviewed, and its application in disturbance estimation is discussed. Motivated by the UIO design limitations, the game theoretic detection filter is introduced which decouples the multi-variable distur...Show More

Robust Disturbance Estimation ‐ An Integrated Game Theoretic and Unknown Input Observer Approach

Shahin Rouhani;Tsu-Chin Tsao;Jason L. Speyer

2019 American Control Conference (ACC)

Year: 2019 | Conference Paper |

Dynamic Trajectory Tracking by Synergistic Dual-Stage Actuation and Control

Cheng-Wei Chen;Yen-Chi Chang;Tsu-Chin Tsao

IEEE/ASME Transactions on Mechatronics

Year: 2017 | Volume: 22, Issue: 6 | Journal Article |

Cited by: Papers (10)

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This paper addresses precision tracking control of dual-stage actuators for machining of noncircular engine piston profiles. To achieve desired tracking performance, the capacity limits, dynamic characteristics, external disturbances, and model uncertainties of the dual-stage actuators pose significant challenges in control design and real-time implementation. The master-slave linear control confi...Show More

Dynamic Trajectory Tracking by Synergistic Dual-Stage Actuation and Control

Cheng-Wei Chen;Yen-Chi Chang;Tsu-Chin Tsao

IEEE/ASME Transactions on Mechatronics

Year: 2017 | Volume: 22, Issue: 6 | Journal Article |

Mechatronics pedagogy in mechanical engineering capstone design

Sandeep Rai;James Simonelli;Kevin Chu;Herrick Chang;Christopher Kang;Christopher Lim;Robert Shaefer;Tsu-Chin Tsao

2017 American Control Conference (ACC)

Year: 2017 | Conference Paper |

Cited by: Papers (4)

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This paper presents the pedagogy of mechatronics in the mechanical engineering senior capstone design classes at the University of California Los Angeles during 2011-2016. Students entering the class with little hands-on experience in mechatronics are given lectures and hands-on laboratory tutorials and practice to conceptualize, design, and realize mechatronic systems. Students are then provided ...Show More

Mechatronics pedagogy in mechanical engineering capstone design

Sandeep Rai;James Simonelli;Kevin Chu;Herrick Chang;Christopher Kang;Christopher Lim;Robert Shaefer;Tsu-Chin Tsao

2017 American Control Conference (ACC)

Year: 2017 | Conference Paper |

Wind turbine system identification and individual pitch control

Sandeep Rai;Shih-Yu Yang;Tsu-Chin Tsao

2017 American Control Conference (ACC)

Year: 2017 | Conference Paper |

Cited by: Papers (4)

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This paper addresses system identification and control for the wind turbine operating in region 3, where the wind is excessive and blades must pitch to regulate the rotor speed and alleviate the bending moments on the blades. This region is critical for safe operation of the wind turbine. First, this paper develops linear models for controller design of the individual and collective pitch control ...Show More

Wind turbine system identification and individual pitch control

Sandeep Rai;Shih-Yu Yang;Tsu-Chin Tsao

2017 American Control Conference (ACC)

Year: 2017 | Conference Paper |

Data-based feedforward controller reconstruction from iterative learning control algorithm

Cheng-Wei Chen;Tsu-Chin Tsao

2016 IEEE International Conference on Advanced Intelligent Mechatronics (AIM)

Year: 2016 | Conference Paper |

Cited by: Papers (4)

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Different from previous work discussing how to improve the performance of the ILC algorithm by assigning a well-approximated plant inversion as the learning filter, a novel way to reconstruct a feedforward filter from the ILC algorithm is presented. Assuming the ILC algorithm has already been implemented for the controlled plant, a stable FIR feedforward filter can be extracted from the converged ...Show More

Data-based feedforward controller reconstruction from iterative learning control algorithm

Cheng-Wei Chen;Tsu-Chin Tsao

2016 IEEE International Conference on Advanced Intelligent Mechatronics (AIM)

Year: 2016 | Conference Paper |

Real-Time Sub-Count Estimation With State Continuity for Asynchronous and Quantized Sensing

Yen-Chi Chang;Cheng-Wei Chen;Tsu-Chin Tsao

IEEE/ASME Transactions on Mechatronics

Year: 2016 | Volume: 21, Issue: 3 | Journal Article |

Cited by: Papers (3)

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Precision motion control is often challenged by asynchronous sensor update and quantization noise, causing abrupt and untimely state variation to limit the machine precision. To provide smooth and accurate sensor interpretation, this study developed a novel event-triggered sub-count estimation method that addresses continuity on system states. By enforcing such state continuity on important proper...Show More

Real-Time Sub-Count Estimation With State Continuity for Asynchronous and Quantized Sensing

Yen-Chi Chang;Cheng-Wei Chen;Tsu-Chin Tsao

IEEE/ASME Transactions on Mechatronics

Year: 2016 | Volume: 21, Issue: 3 | Journal Article |

Receding-Horizon Adaptive Control of Laser Beam Jitter

Nolan Tsuchiya;Steve Gibson;Tsu-Chin Tsao;Michel Verhaegen

IEEE/ASME Transactions on Mechatronics

Year: 2016 | Volume: 21, Issue: 1 | Journal Article |

Cited by: Papers (12)

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This paper uses a new method for receding-horizon adaptive control to reduce laser beam jitter. The control scheme generates a control command derived from a receding-horizon performance index that involves predicted future values of an output disturbance. A recursive least-squares adaptive lattice filter performs the required prediction based on real-time measurements. In a laser beam steering ex...Show More

Receding-Horizon Adaptive Control of Laser Beam Jitter

Nolan Tsuchiya;Steve Gibson;Tsu-Chin Tsao;Michel Verhaegen

IEEE/ASME Transactions on Mechatronics

Year: 2016 | Volume: 21, Issue: 1 | Journal Article |

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