Modeling, design, motion planning and control arising in mobile robotics; geometric methods in nonlinear dynamics; time-frequency analysis of acoustic signals and systems; intelligent control architectures, in part inspired by biological paradigms; technology and theory of smart materials for use in actuation and sensing; problems of high resolution optical wave front control; problems of integration of actuators and sensors in control networks; new types of particle filters for approximate solutions to nonlinear filtering problems; sensing and control in nature; control of collectives (communicating, networked, control systems)
P.S. Krishnaprasad received his Ph.D. degree from Harvard University in 1977. He was on the faculty of the Systems Engineering Department at Case Western Reserve University from 1977 to 1980. He has been with the University of Maryland since August 1980, where he has held the position of Professor of Electrical Engineering since 1987, and a joint appointment with the Institute for Systems Research since 1988. He is also a member of the Applied Mathematics Faculty.
Krishnaprasad has held visiting positions with Erasmus University (Rotterdam); the Department of Mathematics, University of California, Berkeley; the University of Groningen (the Netherlands); the Mathematical Sciences Institute at Cornell University; and the Mechanical and Aerospace Engineering Department at Princeton University.
Krishnaprasad's research interests lie in the broad area of geometric control theory and its applications. His contributions include geometry of parametrization problems in linear systems, the Lie algebraic foundations of certain nonlinear filtering problems pertaining to system identification, the Lie theory and stability of interconnected mechanical systems (e.g., spacecraft with elastic attachments, spinning rotors, and fluid-filled cavities), and symmetry principles in nonlinear control theory. He has also investigated mathematical problems in the kinematics and control of robot manipulators, the real-time control of flexible robot arms with end-point sensing, tactile perception, and the development of symbolic algebraic tools for design and control. In the last several years, his interests have drawn him to: problems of modeling, design, motion planning and control, arising in mobile robotics (legged and wheeled vehicles, autonomous underwater vehicles and autonomous aircraft); geometric methods in nonlinear dynamics; wavelet analysis for signals and systems; intelligent control architectures, in part inspired by biological paradigms such as central patterns generators and neural networks; the technology and theory of smart materials such as piezo-electric and magnetostrictive materials for use in actuation and sensing; problems of integration of actuators and sensors in control networks; and modeling, simulation, monitoring and control in semiconductor manufacturing processes, such as rapid thermal chemical vapor deposition.
A central interest in geometric control theory, geometric mechanics, Lie groups, and distributed parameter systems, guides the technical approaches taken to attack problems in the above areas. Additionally, some of this work is also linked to the experimental efforts in the Intelligent Servosystems Laboratory. In the area of semiconductor processing, experimental efforts are being explored with collaborating University and Industry partners.
P.S. Krishnaprasad was elected a Fellow of the IEEE in 1990 for his contributions to geometric and nonlinear control and engineering education. He also was appointed a 1998-2000 Distinguished Faculty Research Fellow of the University of Maryland. He was the Munich Mathematical Colloquium Lecturer on October 24, 2006, at the Technical University of Munich and is the recepient of the Hendrik W. Bode Lecture Prize for 2007 from the IEEE Control Systems Society, for distinguished contributions to control systems science and engineering. He presented the Bode Lecture on December 14, 2007 at the IEEE Conference on Decision and Control.
and Computer Engineering Department
Center for Dynamics and Control of Smart Structures
Learning and Intelligent Systems
Intelligent Servosystems Laboratory
Center for Auditory and Acoustic Research
Computational Sensorimotor Systems Laboratory
Neuroscience and Cognitive Sciences Program