- Control Systems and Identification
- Iterative Learning Control Systems
- Fault Detection and Control Systems
- Advanced Control Systems Optimization
- Structural Health Monitoring Techniques
- Hydraulic and Pneumatic Systems
- Microgrid Control and Optimization
- Smart Grid Energy Management
- Probabilistic and Robust Engineering Design
- Advanced Battery Technologies Research
- Advanced Adaptive Filtering Techniques
- Tribology and Lubrication Engineering
- Adhesion, Friction, and Surface Interactions
- Optimal Power Flow Distribution
- Power System Optimization and Stability
- Fire effects on ecosystems
- Target Tracking and Data Fusion in Sensor Networks
- Advanced Measurement and Metrology Techniques
- Electric Vehicles and Infrastructure
- Model Reduction and Neural Networks
- Stability and Control of Uncertain Systems
- Advancements in Battery Materials
- Piezoelectric Actuators and Control
- Control Systems in Engineering
- Real-time simulation and control systems
University of California, San Diego
2014-2023
Jacobs (United States)
2013-2016
Delft University of Technology
1994-2011
Systems Control (United States)
2010
Resonance Research (United States)
2009
Columbia Gorge Community College
2008
University of California, Los Angeles
2006
University of California, Berkeley
2004-2006
Engineering Systems (United States)
2004
In this paper a framework for an iterative procedure of identification and robust control design is introduced wherein the performance monitored during subsequent steps scheme. By monitoring via model-based approach, possibility to guarantee improvement in scheme being employed. order monitor achieved (for present controller) future controller), uncertainty set used where structure chosen terms model perturbations dual Youla parametrization. This shown be particularly suitable measure that...
Abstract: The damage identification study presented in this article leveraged a full‐scale sub‐component experiment conducted the Charles Lee Powell Structural Research Laboratories at University of California, San Diego. As payload project attached to quasi‐static test composite beam, high‐quality set low‐amplitude vibration response data was acquired from beam various levels. Eigensystem Realization Algorithm applied identify modal parameters (natural frequencies, damping ratios,...
This paper extends FARSITE (a software used for wildfire modeling and simulation) to incorporate data assimilation techniques based on noisy limited spatial resolution observations of the fire perimeter improve accuracy spread predictions. To include in FARSITE, uncertainty both simulated measured is formulate optimal updates prediction wild- fire. For assimilation, measurements with a known are an adjustment prediction. The calculated from Kalman filter gain Ensemble that exploits...
The general realization algorithm (GRA) is developed to identify modal parameters of linear multi-degree-of-freedom dynamic systems subjected measured (known) arbitrary loading from known initial conditions. GRA extends the well eigensystem (ERA) based on Hankel matrix decomposition by allowing an input signal in algorithm. This generalization obtained performing a weighted decomposition, where weighting determined loading. state-space matrices are identified two-step procedure that includes...
In a hard disk drive with dual-stage actuator the standard rotary actuation of voice coil motor (VCM) is combined an additional micro- or milli-actuation to accomplish high-bandwidth and highly accurate track following. For extremely high density recording, servo control algorithm designed for specific needs maintain performance following in lieu external disturbances uncertainties dynamic response induced by product manufacturing tolerances. Essential robust design bound these servos...
A dynamic model of the resistance heater element in a thermal flying height control (TFC) slider hard disk drive is identified and used for control. Experimental data obtained on spin stand generalized realization algorithm are identification discrete-time actuator. The change measured two different ways: using servo burst information written onto surface sectors only. actuator based input power level measured. Based convex optimization techniques, computational scheme proposed to obtain...
This paper shows the extension of wildfire simulation tool FARSITE to allow for data assimilation capabilities on both fire perimeters and fuel adjustment factors improve accuracy spread predictions. While characterize overall burn scar a wildfire, are model specific calibration numbers that adjust rate each type independently. Data updates calculated from an Ensemble Kalman Filter (EnKF) exploits uncertainty information simulated perimeter, measured perimeter. The effectiveness proposed is...
Classical indirect methods of closed-loop identification can be applied on the basis different transfer functions. Here multivariable situation is considered and conditions are formulated under which identified approximative plant models guaranteed to stabilized by present controller. Additionally it shown in sense classical generalized a previously introduced method based dual-Youla parametrization. For stable controllers two basically equivalent each other.
In this paper an approach is presented to estimate a linear multivariable model on the basis of (noisy) frequency domain data via curve fitting procedure. The parametrized in either left or right polynomial matrix fraction description and parameters are computed by using two-norm minimization output error. Additionally, input-output element-wise based weightings can be specified tune error flexible way. procedure demonstrated experimental obtained from 3 input wafer stepper system.
In this paper, we consider the iterative learning control (ILC) framework to design a reference signal that directly cancels periodic disturbances in feedback measurement. Cancellation of is useful reducing undesirable repeatable tracking errors applications such as two-stage servo track writing process for disk drives. A general problem description given linear discrete-time system and convergence results are derived. filter designed with use finite-impulse response model approximation...
We present a data-based approach for modeling and controller design of dual-stage tape servo actuator. Our method uses step response measurements generalized realization algorithm to identify multivariable discrete-time model the The data acquisition can be implemented in firmware drive. have designed controller, based on model, using loop shaping techniques adopted control problems. applied procedure prototype actuator head reduce effect lateral motion. consists conventional voice coil...
Phasor Measurement Units (PMUs) are used to measure voltages and currents in a power network. Optimal PMU placement given network is an important problem since installing at every node of expensive. This paper proposes algebraic approach the with focus on complete voltage state estimation measurement noise, objective minimize variance estimation. The determines minimum number PMUs needed for full observability based buses known nodal currents. Combined information noise admittance matrix,...
A data-based approach is presented for modeling and controller design of a dual-stage servo actuator in hard disk drive. The this drive consists conventional voice coil motor piezo-electrically actuated suspension. weighted Hankel matrix based realization algorithm that uses frequency domain data applied to estimate discrete-time model the piezoelectric actuator. Based on models, different track-following controllers were designed using classic H∞ loop shaping techniques. implemented...