2011 - Fellow of the International Federation of Automatic Control (IFAC)
1999 - IEEE Fellow For contributions to control theory and applications.
Richard H. Middleton mainly investigates Control theory, Linear system, Control engineering, LTI system theory and Control system. Richard H. Middleton regularly ties together related areas like Upper and lower bounds in his Control theory studies. His Linear system research is multidisciplinary, incorporating elements of Lyapunov function, Parametrization, Control, Open-loop controller and Decoupling.
His work deals with themes such as Estimation, Continuous signal and Realization, which intersect with Control engineering. His LTI system theory study combines topics in areas such as Frequency response, Linear-quadratic-Gaussian control, Communication channel and Data transmission. His biological study deals with issues like Transfer function, which deal with fields such as Topology, Mathematical statistics, Bounded function, Exponential stability and Norm.
Richard H. Middleton mainly focuses on Control theory, Linear system, Control theory, Nonlinear system and Control system. His Control theory study frequently links to adjacent areas such as Control engineering. Richard H. Middleton combines subjects such as Upper and lower bounds, Stability and Optimal control with his study of Linear system.
His Optimal control study is concerned with the field of Mathematical optimization as a whole. His Control theory study frequently links to related topics such as Sensitivity. His work in Adaptive control is not limited to one particular discipline; it also encompasses Estimation theory.
His main research concerns Control theory, Control theory, Wireless, Distributed computing and Mathematical optimization. His research integrates issues of Stability and Constant in his study of Control theory. Richard H. Middleton interconnects Structure, Passivity, Hamiltonian system, Multi-agent system and Communications system in the investigation of issues within Control theory.
His Wireless research is multidisciplinary, incorporating perspectives in Skew, Transmission, Electronic engineering, MIMO and Computer network. The Distributed computing study combines topics in areas such as Discrete time and continuous time, Robustness and Network congestion. His Discrete time and continuous time study integrates concerns from other disciplines, such as Upper and lower bounds and Polynomial.
The scientist’s investigation covers issues in Control theory, Control theory, Stability, Wireless and Mathematical optimization. The various areas that Richard H. Middleton examines in his Control theory study include Stability and Stability conditions. His biological study spans a wide range of topics, including Electronic engineering and Constant.
The concepts of his Stability study are interwoven with issues in Linear matrix inequality, Discrete time and continuous time, Polynomial and Sensitivity. His study in the field of Best response is also linked to topics like Transmitter power output and Demand response. His research in Instability tackles topics such as Weighting which are related to areas like Platoon and Linear system.
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.
Digital control and estimation : a unified approach
Richard H. Middleton;Graham C. Goodwin.
(1990)
Design issues in adaptive control
R.H. Middleton;G.C. Goodwin;D.J. Hill;D.Q. Mayne.
IEEE Transactions on Automatic Control (1988)
Improved finite word length characteristics in digital control using delta operators
R. Middleton;G. Goodwin.
IEEE Transactions on Automatic Control (1986)
Feedback Stabilization Over Signal-to-Noise Ratio Constrained Channels
J.H. Braslavsky;R.H. Middleton;J.S. Freudenberg.
IEEE Transactions on Automatic Control (2007)
Adaptive computed torque control for rigid link manipulators
R. H. Middleton;G. C. Goodwin.
Systems & Control Letters (1988)
Transient stability enhancement and voltage regulation of power systems
Y. Wang;D.J. Hill;R.H. Middleton;L. Gao.
IEEE Transactions on Power Systems (1993)
Trade-offs in linear control system design
R. H. Middleton.
Automatica (1991)
Brief Networked control design for linear systems
Peter V. Zhivoglyadov;Richard H. Middleton.
Automatica (2003)
Rapprochement between continuous and discrete model reference adaptive control
G C Goodwin;R L Leal;D Q Mayne;R H Middleton.
Automatica (1986)
Adaptive control of time-varying linear systems
R.H. Middleton;G.C. Goodwin.
IEEE Transactions on Automatic Control (1988)
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