2023年12月28日发(作者：日本积分榜)

Professional Summary

Darren Dawson

 Education:

Ph.D., Electrical Engineering, Georgia Institute of Technology, 1990

B.S., Electrical Engineering, Highest Honors, Georgia Institute of Technology, 1984

 Work Experience:

Westinghouse, Bettis Atomic Power Laboratory, Electrical Engineer, 1985-1987

Georgia Institute of Technology, School of Electrical Engineering, Graduate Research

Assistant and Post-Doctoral Research, 1987-1990.

Clemson University, Department of Electrical and Computer Engineering

Assistant Professor - 1990, Associate Professor - 1993, Professor – 1996, ECE Chair - 2007

 Prestigious Honors: i) Office of Naval Research Young Investigator Awardee, ii) National

Science Foundation Young Investigator Awardee, iii) McQueen Quattlebaum Faculty

Achievement Awardee, iv) Georgia Institute of Technology Council of Outstanding Young

Engineering Alumni, v) Provost’s Award for Scholarly Achievement, and vi) Alumni Award

for Outstanding Achievement in Research (For a complete list of honors see full resume).

 Research Publication Activities: Research has culminated in over 190 journal papers, over

325 conference papers, nine books, and five book chapters which, as of 2013, have resulted

in a total of over 6000 citations and an H-index of 38 according to Google Scholar.

 Graduate Student Advisement: Supervisor of 34 Ph.D. students and 53 M.S. thesis

students.

 Professional Recognition: i) Invited addresses at over ten universities, and ii) twenty invited

presentations at national and international conferences.

 Research and Teaching Funding: PI, Co-PI, Co-In of over 20 million dollars of funded

activity from federal, state, and industrial sources (Estimated Expenditures of over $5M for

Dr. Dawson).

 Participation in Professional Societies: i) Over 325 Faculty/Graduate Student Conference

Presentations, ii) Over 20 Faculty/Graduate Student Invited Conference Presentations, iii)

Co-Chaired and organized seven conference sessions at national and international

conferences, and iv) Served on four program committees for international conferences.

 Editorial Service: i) Associate Editor, Automatica, The International Federation of

Automatic Control (IFAC) Journal, 1992 – 1996, and ii) Associate Editor, IEEE

Transactions on Control Systems Technology, 1997 – 2002.

 Service to Professional, Public, and Private Sectors: i) Reviewer for over 15 journals and

two book publishers, ii) Served on several NSF review panels, iii) Performed several book

reviews for journal publications.

Contributions to Control Engineering

Leadership in Academic Research: For two decades, Dawson has been developing rigorous

solutions for numerous open problems associated with important and/or benchmark nonlinear

control applications in practically important areas such as motion control, motor control,

robotics, and mechanical system control. His work in these areas have resulted in a total of

over 6000 citations and an H-index of 38 according to Google Scholar.

One of the hallmarks of

his work has been the implementation and validation of controllers for a variety of

electromechanical systems. His leadership in his field is attested by his scholarship and the

recognition of his work by top awards from his university, the NSF, and ONR. Dawson has

served as the primary advisor of 34 completed Ph.D. dissertations and 53 completed master's

theses. Many of his former graduate students are leaders at corporations such General Electric,

Texas Instruments, Lucent, Boeing, Scientific Research, Intel, BF Goodrich, etc. In addition,

his Ph.D. students received academic appointments as follows: J. Carroll - Clarkson

University, M. Bridges - University of Michigan, T. Burg - Clemson University, M. Queiroz -

Louisiana State University, H. Canbolat - Mersin University, P. Aquino - Centro Federal de

Educacaçao Tecnológica, M. Feemster - Naval Academy, W. Dixon - University of Florida, E.

Zergeroglu - Gebze Institute of Technology, A. Behal - University of Central Florida, Y. Fang

- Nankai University, X. Bin - Tian Jin University, M. McIntyre - Western Kentucky

University, M. Salah - Hashemite University, and E. Tatlicioglu - Izmir Institute of

Technology.

At the Forefront of Electromechanical Control Design: Dawson was the first scholar to

design a control theoretic, nonlinear adaptive position tracking controller for induction motors

that compensates for unknown rotor resistance effects without measuring rotor flux (see

Automatica Vol. 32, No 8. pp. 1127-1143, 1996). In addition, he illustrated how a nonlinear

control scheme could be designed and analyzed to facilitate the practical use of induction

motors as actuators for robot manipulators (See journal paper #1 in Part 2). His work in

generalized mechanical systems (see journal paper #3 in Part 2) is often cited by other

researchers as being the first paper to present a global adaptive output feedback tracking

control solution for a general class of Lagrange Euler systems. He was also the first scholar to

design, analyze, and implement a rigorously developed nonlinear algorithm for the important

application area of sensorless control of induction motors (see journal paper #7 in Part 2). His

work in underactuated systems (see his research monograph Nonlinear Control of Wheeled

Mobile Robots, 2001) is recognized by other researchers as being one of the earliest solutions

to the tracking control problem for systems with nonintegrable dynamics. Dawson’s

contributions, which are at the forefront of his field, have also illustrated in a novel fashion

how Lyapunov-based control design tools (e.g., integrator backstepping, boundary control,

nonlinear observer/filter design) can be handcrafted to attack difficult nonlinear control

applications involving modeling uncertainty or a lack of state measurements. For example, he

designed a novel nonlinear filter to facilitate a global result in journal paper #3 in Part 2;

furthermore, he illustrated how a dynamic oscillator technique used for induction motors could

be redesigned to solve the underactuated mechanical system tracking problem addressed in his

research monograph Nonlinear Control of Wheeled Mobile Robots, 2001. The theoretical and

practical importance of his research has also been established by numerous research grants and

contracts from federal agencies and industrial firms (e.g., Honda, Westinghouse, Sauer-Danfoss, Union Camp, etc.).

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Experimental Validation of Controller Performance: Dawson’s research is notable in that

the performance gains associated with his control theoretic work has been verified

experimentally by his research group (See the research monograph’s #1 and #2 in Part 1).

Dawson’s other important contributions include: i) design, analysis, and implementation of

nonlinear control schemes for mobile robotic systems (see his research monograph Nonlinear

Control of Wheeled Mobile Robots, 2001), ii) design of a broad class of boundary controllers

for regulating the vibration of many types of mechanical systems (see the research monograph

#2 in Part 1), iii) synthesis of novel visual servo controllers and vision-based estimators (see

journal paper #4 in Part 2), iv) design, analysis, and implementation of novel adaptive

controllers for compensating for frictional effects, v) development of real-time MATLAB

based software control education (see his journal paper in the IEEE Transactions on

Education, Vol. 45, No. 3, pp. 218-226, August 2002), and vi) development of real-time QNX-based software for control research (see his paper in the IEEE Control Systems Magazine, Vol.

22, No. 3, pp. 12-26, June, 2002).

Major Accomplishments as a Scholar

PART 1 – Selected Books (Boldface co-authors denote students of Dawson)

1. D. Dawson, J. Hu, and T. Burg, Nonlinear Control of Electric Machinery, Marcel Dekker,

1998, ISBN 0-8247-0180-1.

This 437-page monograph presents Professor Dawson’s research from 1991-1998 in the field

of nonlinear control design and analysis for electric machines. Specifically, this book

presents the mathematical foundation for designing feedback/feedforward algorithms that

account for the nonlinearities and modeling uncertainties associated with controlling

mechanical systems driven by electric machines.

2. M. de Queiroz, D. Dawson, S. Nagarkatti, and F. Zhang, Lyapunov-Based Control of

Mechanical Systems, Birkhauser, 1999, ISBN 0-8176-4086-X.

This 316-page monograph presents Professor Dawson’s research from 1994-1999 in the field

of nonlinear control design and analysis for mechanical systems. This book illustrates, in a

unified framework, how Lyapunov-based techniques can be applied to a variety of control

problems that can be modeled by ordinary and/or partial differential equations.

3. W. Dixon, A. Behal, D. Dawson, and S. Nagarkatti, Nonlinear Control of Engineering

Systems: A Lyapunov-Based Approach, Birkhäuser, 2003, ISBN 0-8176-4265-X.

This 394-page monograph presents Professor Dawson’s research from 1987-2003 in the field

of nonlinear control design and analysis for a variety of systems (e.g. mechanical, electrical,

robotic, aerospace, and underactuated systems). This book provides a practical yet rigorous

development of nonlinear Lyapunov-based tools and their use in the solution of control-theoretic problems.

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PART 2 – Selected Journal Papers (Boldface co-authors denote students of Dawson)

Nonlinear Control of Mechanical Systems

1. T. Burg, D. Dawson, J. Hu, and M. de Queiroz, “An Adaptive Partial State Feedback

Controller for RLED Robot Manipulators”, IEEE Transactions on Automatic Control, Vol.

41, No. 7, pp. 1024-1031, July, 1996.

One of the first controllers designed for the full order Rigid-Link Electrically-Driven (RLED)

robot model. The controller was designed to adapt for parametric uncertainty in the

electromechanical dynamics while utilizing a novel dynamic filter to eliminate the need for

velocity measurements.

2. M. de Queiroz, D. Dawson, M. Agarwal, and F. Zhang, “Adaptive Nonlinear Boundary

Control of a Flexible Link Robot Arm”, IEEE Transactions on Robotics and Automation,

Vol. 15, No. 4, Aug., 1999, pp. 779-787.

The paper blended nonlinear, adaptive ordinary differential equation control techniques with

partial differential equation boundary control techniques to deal with parametric uncertainty.

The approach was novel because, to the best of our knowledge, this was the first controller to

compensate for unknown payload mass based on an infinite dimensional model of flexible

link robots.

3. F. Zhang, D. Dawson, M. de Queiroz, and W. Dixon, “Global Adaptive Output Feedback

Tracking Control of Robot Manipulators”, IEEE Transactions on Automatic Control, Vol.

45, No. 6, June 2000, pp. 1203-1208.

This paper presented a global, adaptive, OFB tracking controller for uncertain robot

manipulators. To the best of our knowledge, this result constituted the first global tracking

result for this important nonlinear dynamical system.

4. J. Chen, D. M. Dawson, W. E. Dixon, and A. Behal, “Adaptive Homography-Based Visual

Servo Tracking for Fixed and Camera-in-Hand Configurations,” IEEE Transactions on

Control Systems Technology, Vol. 13, No. 5, pp. 814-825, Sept. 2005.

This paper represented one of the first approaches with regard to blending a Lyapunov-based

approach with projective homography tools for visual servoing. The controller was novel

since it was the first approach to actively compensate for the lack of unknown depth

measurements and unknown object model parameters.

Nonlinear Control of Electric Machines

5. D. Dawson, J. Carroll, and M. Schneider, “Integrator Backstepping Control for a Brush dc

Motor Turning a Robotic Load”, IEEE Transactions on Controls Systems Technology, Vol.

2, No. 3, Sept., 1994, pp. 233-244.

One of the first papers to experimentally illustrate the performance gains that can be achieved

using the integrator backstepping technique with regard to adaptive and robust nonlinear

controllers for electromechanical systems.

6. M. de Queiroz and D. Dawson, “Nonlinear Control of Active Magnetic Bearings: A

Backstepping Approach”, IEEE Transactions on Control Systems Technology, Vol. 4, No. 5,

Sept., 1996, pp. 545-552.

To the best of our knowledge, this paper presented the first singularity-free, tracking

controller for the third order, nonlinear model of an active magnetic bearing system. This

result was achieved by a novel commutation strategy for switching the electrical currents.

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7. M. Feemster, P. Aquino, D. Dawson, and A. Behal, “Sensorless Rotor Velocity Tracking

Control for Induction Motors,” IEEE Transactions on Control System Technology, Vol. 9,

No. 4, pp. 645-653, July, 2001.

In this paper, we presented one of the first sensorless observer/control algorithm that

rigorously achieved semi-global exponential rotor velocity for the full-order nonlinear system

induction motor model (i.e., only stator current measurements were required). Experimental

results validated the performance of the sensorless controller.

8. A. Behal, M. Feemster, and D. Dawson, “An Improved Indirect Field Oriented Controller

for the Induction Motor”, IEEE Transactions on Control Systems Technology, Vol. 11, No. 2,

pp. 248-252, March 2003.

One of the first papers that illustrated how the standard indirect field-oriented controller can

be modified using Lyapunov tools to design an adaptive controller to compensate for

parametric uncertainty associated with the mechanical load.

Nonlinear Control for General Classes of Systems

9. B. Xian, D.M. Dawson, M. de Queiroz, and J. Chen, “A Continuous Asymptotic Tracking

Control Strategy for Uncertain Nonlinear Systems”, IEEE Trans. on Automatic Control, Vol.

49, No. 7, pp. 1206-1211, July 2004.

This paper presented a tracking controller for a class of uncertain, high-order, MIMO

nonlinear systems which includes time-varying and nonlinearly parameterized systems. A

novel continuous control strategy was used to ensure semi-global asymptotic tracking under

limited restrictions on the uncertain nonlinearities.

10. J. Chen, A. Behal, and D. M. Dawson, “Robust Feedback Control for a Class of Uncertain

MIMO Nonlinear Systems”, IEEE Transactions on Automatic Control, Vol. 53, No. 2, pp.

591-596, Mar. 2008.

This paper presented an output feedback tracking controller for a broad class of uncertain

MIMO nonlinear systems using a high gain observer.

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