Chaouki T. Abdallah mainly focuses on Control theory, Control engineering, Stability, Robust control and Control system. His work carried out in the field of Control theory brings together such families of science as Artificial neural network, Mathematical optimization and Nyquist stability criterion. His work deals with themes such as Control, Robot kinematics, Robot control and Transport phenomena, which intersect with Control engineering.
His Stability research incorporates themes from Dynamical systems theory, Model predictive control, Dynamical system, Telecommunications network and Sampled data systems. His research investigates the link between Robust control and topics such as Linear matrix that cross with problems in Quadratic equation, Controller design, System dynamics and Performance index. His Control system research incorporates elements of Robot and Exponential stability.
Chaouki T. Abdallah focuses on Control theory, Control system, Control engineering, Control theory and Robust control. His research on Control theory often connects related topics like Mathematical optimization. As part of his studies on Control system, Chaouki T. Abdallah frequently links adjacent subjects like Exponential stability.
The various areas that he examines in his Control engineering study include Robot, Control and Robot control. Robust control is a subfield of Robustness that Chaouki T. Abdallah investigates. Particularly relevant to Nonlinear control is his body of work in Nonlinear system.
His primary areas of study are Control theory, Distributed computing, The Internet, Curriculum and Mathematical optimization. His Control theory study incorporates themes from Control engineering and Upper and lower bounds. His study in Control engineering is interdisciplinary in nature, drawing from both Nonholonomic system and Holonomic.
Chaouki T. Abdallah has researched The Internet in several fields, including Identifier and Computer network. As a member of one scientific family, he mostly works in the field of Control theory, focusing on Control system and, on occasion, Control. His biological study spans a wide range of topics, including Full state feedback and State.
His main research concerns Control theory, Curriculum, Graduation, Control theory and Control engineering. His Control theory research is mostly focused on the topic Lyapunov function. His study explores the link between Lyapunov function and topics such as Discrete time and continuous time that cross with problems in Robust control, Networked control system, Matrix, Linear system and Gain scheduling.
His study on Curriculum also encompasses disciplines like
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.
Control of Robot Manipulators
Frank L. Lewis;D. M. Dawson;C. T. Abdallah.
Survey paper: Static output feedback-A survey
V. L. Syrmos;C. T. Abdallah;P. Dorato;K. Grigoriadis.
Robot Manipulator Control: Theory and Practice
Frank L. Lewis;Darren M. Dawson;Chaouki T. Abdallah.
Linear Quadratic Control: An Introduction
Peter Dorato;Vito Cerone;Chaouki Abdallah.
Stability and Stabilization of Systems with Time Delay
R Sipahi;S Niculescu;Chaouki T Abdallah;W Michiels.
IEEE Control Systems Magazine (2011)
Survey of robust control for rigid robots
C. Abdallah;D.M. Dawson;P. Dorato;M. Jamshidi.
IEEE Control Systems Magazine (1991)
Delayed Positive Feedback Can Stabilize Oscillatory Systems
C. Abdallah;P. Dorato;J. Benites-Read;R. Byrne.
american control conference (1993)
Static output feedback: a survey
V.L. Syrmos;C. Abdallah;P. Dorato.
conference on decision and control (1994)
A dynamic recurrent neural-network-based adaptive observer for a class of nonlinear systems
Young H. Kim;Frank L. Lewis;Chaouki T. Abdallah.
Wireless communications and networking: an overview
R. Jordan;C.T. Abdallah.
IEEE Antennas and Propagation Magazine (2002)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: