Journal-Various

Communications & Networks

Load Balancing

Randomized Algorithms

Neural Networks

Various

Note: The papers on this website may differ from the published versions, both in format and in content.

1. V. Syrmos, C.T. Abdallah, P. Dorato, and K. Grigoriadis, "Static Output Feedback: A Survey", Automatica, 1996.   [dvi]

   Abstract: This paper reviews the static output feedback problem in the control of linear, time-invariant (LTI) systems. It includes analytical and computational methods and presents in a unified fashion, the knowledge gained in the decades of research into this important open problem. The paper shows that although many approaches and techniques exist to approach different versions of the problem, no efficient algorithmic solutions are available.




2. C.T. Abdallah, P. Dorato, F. Perez, and D. Docampo, "Controller Synthesis for a Class of Interval Plants", Automatica, Vol. 31, No. 2, pp. 341-343, 1995.   [pdf]  [ps]

   Abstract: This paper presents a new approach to the synthesis of stabilizing controllers for a class of one­parameter interval plants. The approach is based on the concept of analytic­real­positive (ARP) functions.




3. P. Dorato, W. Yang, and C. Abdallah, "Quantifier Elimination Theory to Robust Multi-Objective Feedback Design", Journal of Symbolic Computation, 1995.   [pdf]  [ps]

   Abstract: This paper shows how certain robust multi­objective feedback design problems can be reduced to quantifier elimination (QE) problems. In particular it is shown how robust stabilization and robust frequency domain performance specifications can be reduced to systems of polynomial inequalities with suitable logic quantifiers, 8 and 9. Because of computational complexity the size of problems that can solved by QE methods is limited. However the design problems considered here do not have analytical solutions, so that even the solution of modest sized problems may be of practical interest.




4. P. Dorato, Wei F. Perez, C.T. Abdallah, and D. Docampo "Robustness in l^p Balls", Circuits, Systems, and Signal Processing, 1995.   [dvi]

   Abstract: The aim of this paper is to obtain the uncertain value set in the complex plane for systems with real and complex parameters that are known to lie inside a ball in a weighted l^p-norm. It generalizes previously available results and may be used to test the robust stability of polynomials whose coefficients lie in a weighted l^p ball.