Michael D. Lemmon mainly focuses on Control theory, Control system, Control engineering, Bounded function and Control theory. His studies deal with areas such as Transmission and Power control as well as Control theory. His Control system research is multidisciplinary, incorporating perspectives in Telecommunications network and Spectral density.
His study looks at the relationship between Control engineering and fields such as Hybrid system, as well as how they intersect with chemical problems. His Bounded function research focuses on subjects like Task, which are linked to State and Dead-beat control. His work deals with themes such as Linear matrix inequality, Petri net, Packet switching, Packet loss and Supervisory control, which intersect with Control theory.
The scientist’s investigation covers issues in Control theory, Control system, Control theory, Hybrid system and Control engineering. His Control theory research includes themes of Upper and lower bounds and Bounded function. His Control system study combines topics from a wide range of disciplines, such as Stability, Distributed computing and State.
The various areas that Michael D. Lemmon examines in his Control theory study include Control, Controllability and Discrete system. In his study, which falls under the umbrella issue of Hybrid system, Dynamical system is strongly linked to Dynamical systems theory. His biological study deals with issues like Petri net, which deal with fields such as Liveness and Supervisory control.
His primary scientific interests are in Control theory, Wireless network, Distributed computing, Wireless and Control theory. His research in Control theory is mostly concerned with Exponential stability. His work carried out in the field of Distributed computing brings together such families of science as Stability criterion, Computer network, Network packet and Information and Computer Science.
His research on Wireless also deals with topics like
Michael D. Lemmon mostly deals with Control theory, Control system, Wireless network, Exponential stability and Networked control system. His study in Control theory is interdisciplinary in nature, drawing from both Transmission and Bandwidth. His research links Quantization with Control system.
His Wireless network study also includes fields such as
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Event-Triggering in Distributed Networked Control Systems
Xiaofeng Wang;M D Lemmon.
IEEE Transactions on Automatic Control (2011)
Self-Triggered Feedback Control Systems With Finite-Gain ${\cal L}_{2}$ Stability
Xiaofeng Wang;M.D. Lemmon.
IEEE Transactions on Automatic Control (2009)
Feedback control of Petri nets based on place invariants
J. Moody;K. Yamalidou;M. Lemmon;P. Antsaklis.
conference on decision and control (1994)
Event-Triggered Feedback in Control, Estimation, and Optimization
Michael Lemmon.
Lecture Notes in Control and Information Sciences (2010)
Design of a wireless assisted pedestrian dead reckoning system - the NavMote experience
Lei Fang;P.J. Antsaklis;L.A. Montestruque;M.B. McMickell.
IEEE Transactions on Instrumentation and Measurement (2005)
Supervisory control of hybrid systems
X.D. Koutsoukos;P.J. Antsaklis;J.A. Stiver;M.D. Lemmon.
Proceedings of the IEEE (2000)
Hybrid System Modeling and Autonomous Control Systems
Panos J. Antsaklis;James A. Stiver;Michael D. Lemmon.
Hybrid Systems (1993)
Technical communique: On event design in event-triggered feedback systems
Xiaofeng Wang;Michael Lemmon.
Automatica (2011)
Event design in event-triggered feedback control systems
Xiaofeng Wang;M.D. Lemmon.
conference on decision and control (2008)
Robust performance of soft real-time networked control systems with data dropouts
Qiang Ling;M.D. Lemmon.
conference on decision and control (2002)
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