Chair, Department of Electrical and Computer Engineering
Joint faculty appointment, University of Kentucky Center for Manufacturing.
TVA Professor of Electrical and Computer Engineering.
453 F.Paul Anderson Tower
University of Kentucky
Lexington, KY 40506-0108
Office Phone : (859) 323 - 8523
Fax : (859) 257 - 3092
Dr. Larry Holloway is a Professor and Chair of the Department of Electrical and Computer Engineering, and is the TVA Endowed Professor of Electrical and Computer Engineering. He received his BS (magna cum laude)in Electrical Engineering from Southern Methodist University in Dallas Texas, and his MS and PhD in Electrical and Computer Engineering from Carnegie Mellon University in Pittsburgh.
Dr Holloway joined the University of Kentucky in 1991 as a joint faculty member in Electrical Engineering and the Center for Manufacturing (formerly known as the Center for Robotics and Manufacturing Systems). His research area is in analysis and control of systems, particularly applied to manufacturing. He has conducted projects funded by the National Science Foundation, Eaton, Rockwell, Department of Defense, NASA, Office of Naval Research, and others. He has over 100 technical publications. He is a senior member of the IEEE. He was formerly an Associate Editor of IEEE Transactions on Automatic Control, and has served as a member of the Program Committee or Organizing Committee of over fifteen international conferences.
· Publications (not current)
· Courses Graduate and Undergraduate (not current)
CURRENT RESEARCH INTERESTS
Discrete-event control synthesis: This research focuses on the development of efficient techniques to automatically convert high-level control specifications into discrete event control laws for manufacturing systems. Current research emphasizes application to low-level manufacturing control, with issues such as state targeting, coordination timing, and automatic generation of controller software.
Automated fault monitoring of manufacturing systems. This research considers the problem of fault monitoring of manufacturing systems using signals from discrete sensors and actuators. The emphasis is on distributed monitoring of processes with concurrent event sequences by using timing and sequencing characteristics of I/O signals. Related work considers automated learning of the timing characteristics, as well as systems with underlying continuous dynamics, infrequent continuous-valued sensing, and various forms of restricted concurrency.
Active sensing policies for uncertain systems. This research activity
considers the problem of systems where sensing occurs only upon request, but
each sensing carries a cost. The issue is to develop a sensing policy such that
the control or sensing objectives can be met at minimum cost, while
guaranteeing to constrain the state uncertainty under several different