A5081788754- Iterative Learning Control Systems
- Advanced machining processes and optimization
- Piezoelectric Actuators and Control
- Advanced Control Systems Optimization
- Advanced Surface Polishing Techniques
- Stability and Control of Uncertain Systems
- Advanced Numerical Analysis Techniques
- Stroke Rehabilitation and Recovery
- Stability and Controllability of Differential Equations
- Control Systems and Identification
- Muscle activation and electromyography studies
- Adaptive Control of Nonlinear Systems
- Control Systems in Engineering
- Meteorological Phenomena and Simulations
- Numerical methods for differential equations
- Climate variability and models
- Model Reduction and Neural Networks
- Matrix Theory and Algorithms
- Fluid Dynamics and Turbulent Flows
- Underwater Vehicles and Communication Systems
- Shape Memory Alloy Transformations
- EEG and Brain-Computer Interfaces
- Nonlinear Dynamics and Pattern Formation
- Quantum chaos and dynamical systems
- Advanced Measurement and Metrology Techniques
University of Southampton
2016-2025
Columbia University
2025
Dalian University of Technology
2024
NOAA National Centers for Environmental Prediction
1996-2023
NOAA Environmental Modeling Center
1996-2023
Bethune-Cookman University
2023
Massachusetts Department of Mental Health
2023
National Oceanic and Atmospheric Administration
2002-2021
The University of Melbourne
2020
Austin Health
2020
In 1997, during the late stages of production NCEP–NCAR Global Reanalysis (GR), exploration a regional reanalysis project was suggested by GR project's Advisory Committee, “particularly if RDAS [Regional Data Assimilation System] is significantly better than global at capturing hydrological cycle, diurnal cycle and other important features weather climate variability.” Following 6-yr development effort, NCEP's North American Regional (NARR) completed in 2004, data are now available to...
We present the impact tests that preceded most recent operational upgrades to land surface model used in National Centers for Environmental Prediction (NCEP) mesoscale Eta model, whose domain includes North America. These improvements consist of changes “Noah” (LSM) physics, notable area cold season processes. Results indicate improved performance forecasting low‐level temperature and humidity, with (or without affecting) overall quantitative precipitation scores upper air verification...
An algorithm for iterative learning control is proposed based on an optimisation principle used by other authors to derive gradient-type algorithms. The new a descent and has potential benefits which include realisation in terms of Riccati feedback feedforward components. This also the advantage implicitly ensuring automatic step-size selection hence guaranteeing convergence without need empirical choice parameters. achieves geometric rate invertible plants. One important feature dependence...
Annually, 15 million people worldwide suffer a stroke, and 5 are left permanently disabled. A stroke is usually caused when blood clot blocks vessel in the brain acts like dam, stopping reaching regions downstream. Alternatively, it may be by hemorrhage, which ruptures leaks into surrounding areas. As result, some of connecting nerve cells die, person commonly suffers partial paralysis on one side body, termed hemiplegia. Cells killed this way cannot regrow, but has spare capacity and,...
An algorithm for iterative learning control is developed on the basis of an optimization principle which has been used previously to derive gradient-type algorithms. The new numerous benefits include realization in terms Riccati feedback and feedforward components. This also advantage implicitly ensuring automatic step size selection hence guaranteeing convergence without need empirical choice parameters. expressed as a very general norm problem Hilbert space setting hence, principle, can be...
A new blended high-resolution real-time global sea surface temperature analysis (RTG_SST), developed specifically for use in operational numerical weather forecasting models, was implemented NCEP's job stream on 30 January 2001, immediately following investigations of miss-forecast precipitation events the mid-Atlantic states. Each daily uses most recent 24-h receipts situ and satellite-derived data provides a SST field 0.5° × (latitude-longitude) grid. The RTG_SST fields regional Meso Eta...
A new optimization-based iterative learning control algorithm is proposed and its properties derived. An important characteristic of this that it uses present future predicted errors to compute the current control, in a similar manner model-based predictive using receding horizon. In particular, enables designer achieve good over convergence rate. The actual implementation has multimodel structure but standard linear quadratic regulator methods for causal formulation (in sense) what...
This note describes changes that have been made to the National Centers for Environmental Prediction (NCEP) operational "early" eta model. The are 1) an decrease in horizontal grid spacing from 80 48 km, 2) incorporation of a cloud prediction scheme, 3) replacement original static analysis system with 12-h intermittent data assimilation using model, and 4) use satellite-sensed total column water optimum interpolation analysis. When tested separately, each four improved model performance. A...
Numerical forecasts from a pilot program on short-range ensemble forecasting at the National Centers for Environmental Prediction are examined. The consists of 10 made using 80-km Eta Model and 5 regional spectral model. Results indicate that accuracy mean is comparable to 29-km Meso both mandatory level data 36-h forecast cyclone position. Calculations spread 36 48 h initial conditions created breeding growing modes technique larger than different analyses. However, position these two...
This paper addresses the problem of reducing impact periodic disturbances arising from current sensor offset error on speed control a permanent-magnet synchronous motor. The new results are based cascade model predictive scheme with an embedded disturbance model. Supporting experimental results, where per-unit is used to improve numerical conditioning, also given.
Abstract The National Air Quality Forecasting Capability (NAQFC) upgraded its modeling system that provides developmental numerical predictions of particulate matter smaller than 2.5 μm in diameter (PM2.5) January 2015. issuance PM2.5 forecast guidance has become more punctual and reliable because are provided from the same produces operational ozone on Centers for Environmental Prediction (NCEP) supercomputers. There were three major upgrades 2015: 1) incorporation real-time intermittent...
We consider the iterative learning control problem from an adaptive viewpoint. It is shown that some standard Lyapunov designs can be modified in a straightforward manner to give solution either feedback or feedforward ILC problem. Some of common assumptions non-linear are relaxed: e.g. we relax linear growth asssumption on non-linearities and handle systems arbitrary relative degree. generally rate convergence MSE achieved, simple robustness analysis given. For plants show achieved for...
As part of a Defense Advanced Research Projects Agency/National Science Foundation study on human-robot interaction (HRI), over sixty representatives from academia, government, and industry participated in an interdisciplinary workshop, which allowed roboticists to interact with psychologists, sociologists, cognitive scientists, communication experts human-computer specialists discuss common interests the field HRI, establish dialogue across disciplines for future collaborations. We include...
This paper is concerned with the practical implementation of norm-optimal iterative learning control (NOILC) algorithm. Here, complexity this algorithm first considered respect to real-time applications, and a new modified version, fast ILC (F-NOILC), derived for application, which potentially allows sampling rate three times faster that original A performance index used assess experimental results obtained from applying F-NOILC an industrial gantry robot system and, in particular, effects...
Background. An inability to perform tasks involving reaching is a common problem following stroke. Evidence supports the use of robotic therapy and functional electrical stimulation (FES) reduce upper limb impairments, but current systems may not encourage maximal voluntary contribution from participant because assistance responsive performance. Objective. This study aimed investigate whether iterative learning control (ILC) mediated by FES feasible intervention in stroke rehabilitation....
This paper considers a general class of linear iterative learning control (ILC) algorithm applied to tracking tasks which require the plant output reach given points at predetermined time instants, without specification intervening reference points. A framework is developed in frequency-domain updated between trials. It shown that superior convergence and robustness properties are obtained compared with those associated using original ILC track prescribed arbitrary trajectory satisfying...