Model predictive control (MPC) is an advanced method of process control that is used to control a process while satisfying a set of constraints. It has been in use in the process industries in chemical plants and oil refineries since the 1980s. In recent years it has also been used in power system balancing models and in power electronics. Model predictive controllers rely on dynamic models of the process, most often linear empirical models obtained by system identification. The main advantage of MPC is the fact that it allows the current timeslot to be optimized, while keeping future timeslots in account. This is achieved by optimizing a finite time-horizon, but only implementing the current timeslot and then optimizing again, repeatedly, thus differing from a linear–quadratic regulator (LQR). Also MPC has the ability to anticipate future events and can take control actions accordingly. PID controllers do not have this predictive ability. MPC is nearly universally implemented as a digital control, although there is research into achieving faster response times with specially designed analog circuitry.
The Fannie and John Hertz Foundation is an American non-profit organization that awards fellowships to Ph.D. students in the applied physical, biological and engineering sciences. The fellowship provides $250,000 of support over five years. The goal is for Fellows to be financially independent and free from traditional restrictions of their academic departments in order to promote innovation in collaboration with leading professors in the field. Through a rigorous application and interview process, the Hertz Foundation seeks to identify young scientists and engineers with the potential to change the world for the better and supports their research endeavors from an early stage. Fellowship recipients pledge to make their skills available to the United States in times of national emergency.
John Comstock Doyle is the Jean-Lou Chameau Professor of Control and Dynamical Systems, Electrical Engineering, and BioEngineering at the California Institute of Technology. He is known for his work in control theory and his current research interests are in theoretical foundations for complex networks in engineering, biology, and multiscale physics.
The American Automatic Control Council (AACC) is an organization founded in 1957 for research in control theory. AACC is a member of the International Federation of Automatic Control (IFAC) and is an association of the control systems divisions of nine member societies:
Arthur Earl Bryson Jr. is the Paul Pigott Professor of Engineering Emeritus at Stanford University and the "father of modern optimal control theory". With Henry J. Kelley, he also pioneered an early version of the backpropagation procedure, now widely used for machine learning and artificial neural networks.
Michael Athans was a Greek-American control theorist and a Professor Emeritus in the Department of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology. He was a Fellow of the IEEE (1973) and a Fellow of the AAAS (1977). He was the recipient of numerous awards for his contributions in the field of control theory. A pioneer in the field of control theory, he helped shape modern control theory and spearheaded the field of multivariable control system design and the field of robust control. Athans was a member of the technical staff at Lincoln Laboratory from 1961 to 1964, and a Department of Electrical Engineering and Computer Science faculty member from 1964 to 1998. Upon retirement, Athans moved to Lisbon, Portugal, where he was an Invited Research Professor in the Institute for Systems and Robotics, Instituto Superior Técnico where he received a honoris causa doctorate from the Universidade Técnica de Lisboa in 2011.
S. Shankar Sastry is the Founding Chancellor of the Plaksha University, Mohali and a former Dean of Engineering at University of California, Berkeley.
Jeff S. Shamma is an American control theorist. He is the Department Head and Professor of Industrial and Enterprise Systems Engineering at the University of Illinois Urbana-Champaign. Formerly, he was a Professor of Electrical engineering at the King Abdullah University of Science and Technology. Before that, he held the Julian T. Hightower Chair in Systems & Control Systems and Controls at the Georgia Institute of Technology. He is known for his early work in nonlinear and adaptive control, particularly on gain scheduling, robust control, and more recently, distributed systems.
Fault detection, isolation, and recovery (FDIR) is a subfield of control engineering which concerns itself with monitoring a system, identifying when a fault has occurred, and pinpointing the type of fault and its location. Two approaches can be distinguished: A direct pattern recognition of sensor readings that indicate a fault and an analysis of the discrepancy between the sensor readings and expected values, derived from some model. In the latter case, it is typical that a fault is said to be detected if the discrepancy or residual goes above a certain threshold. It is then the task of fault isolation to categorize the type of fault and its location in the machinery. Fault detection and isolation (FDI) techniques can be broadly classified into two categories. These include model-based FDI and signal processing based FDI.
Jakob Stoustrup is a Danish researcher employed at Aalborg University, where he serves as professor of control theory at the Department of Electronic Systems.
Dimitri Panteli Bertsekas is an applied mathematician, electrical engineer, and computer scientist, a McAfee Professor at the Department of Electrical Engineering and Computer Science in School of Engineering at the Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts, and also a Fulton Professor of Computational Decision Making at Arizona State University, Tempe.
Manfred Morari is a world-leading control theorist who has made pioneering contributions to the theory and applications of Model Predictive Control, Internal Model Control (IMC) and Hybrid Systems. His book on Robust Process Control is considered to be definitive text on the subject. He is currently Peter and Susanne Armstrong Faculty Fellow at the University of Pennsylvania. He received his Ph.D. in Chemical Engineering from the University of Minnesota in 1977. Dr. Morari held positions at the University of Wisconsin, Madison (1977–1983), the California Institute of Technology (1983-1991), and the Swiss Federal Institute of Technology in Zurich ETH Zurich. He is considered a pioneer in field of Model Predictive Control, Control of Hybrid Systems, Internal Model Control (IMC), and robust control.
A networked control system (NCS) is a control system wherein the control loops are closed through a communication network. The defining feature of an NCS is that control and feedback signals are exchanged among the system's components in the form of information packages through a network.
Stephen Yurkovich is a Fellow of the IEEE, and holds the Louis Beecherl Jr. Distinguished Chair in Engineering at the University of Texas at Dallas, United States, where he is also Program Head of Systems Engineering. Until early 2011, he held a joint appointment as Professor of Electrical and Computer Engineering, and Mechanical Engineering, at The Ohio State University, where he was also Director of the Honda-OSU Partnership Program in which he oversaw endowments of over $40M. Also at Ohio State, he served as Acting Director of the Center for Automotive Research in 2007.
Wassim Michael Haddad is a Lebanese-Greek-American applied mathematician, scientist, and engineer, with research specialization in the areas of dynamical systems and control. His research has led to fundamental breakthroughs in applied mathematics, thermodynamics, stability theory, robust control, dynamical system theory, and neuroscience. Professor Haddad is a member of the faculty of the School of Aerospace Engineering at Georgia Institute of Technology, where he holds the rank of Professor and Chair of the Flight Mechanics and Control Discipline. Dr. Haddad is a member of the Academy of Nonlinear SciencesArchived 2016-03-04 at the Wayback Machine for recognition of paramount contributions to the fields of nonlinear stability theory, nonlinear dynamical systems, and nonlinear control and an IEEE Fellow for contributions to robust, nonlinear, and hybrid control systems.
Stephen P. Boyd is an American professor and control theorist. He is the Samsung Professor of Engineering, Professor in Electrical Engineering, and professor by courtesy in Computer Science and Management Science & Engineering at Stanford University. He is also affiliated with Stanford's Institute for Computational and Mathematical Engineering (ICME).
Thomas Flynn Edgar is an American chemical engineer.
Munther A. Dahleh is the William Coolidge Professor of electrical engineering and computer science and director of the Massachusetts Institute of Technology (MIT) Institute for Data, Systems, and Society (IDSS).
Frank L. Lewis is an American electrical engineer, academic and researcher. He is a professor of electrical engineering, Moncrief-O’Donnell Endowed Chair, and head of Advanced Controls and Sensors Group at The University of Texas at Arlington (UTA). He is a member of UTA Academy of Distinguished Teachers and a charter member of UTA Academy of Distinguished Scholars.
Maamar Bettayeb is a control theorist, educator and inventor. He is the author of publications on understanding the singular value decomposition and model order reduction. Bettayeb is also a promoter of scientific research.
