Hoo SYNTHESIS FOR TIME DELAY SYSTEMS – AN LMI APPROACH Alexandru Serbanescu1, Corneliu Popeea2 1ARS T&TT, Oranje Straat 7, 2514 JB Den Haag, The Netherlands 2University Politehnica Bucharest, Automatic Control and Computers Faculty, Splaiul Independentei 313, Bucharest VI, Romania Keywords: Time Delay Systems,  H synthesis, Linear Matrix Inequalities (LMI), Semidefinite Programming, Projection Lemma. ABSTRACT The problems arising in Time Delay Systems (TDS) have increased complexity with respect to those related to Linear Delay Free Systems. Linear Matrix Inequalities (LMI) proved to be a useful instrument for solving several control problems. The present paper is approaching the output feedback  H control problem for a set of TDS for whom both the state dynamics and the output depends on the delayed states. The characteristics of this class of systems require a specific approach. Two new procedures are proposed to solve the optimal and the sub-optimal  H control problems. 1. INTRODUCTION Starting with the beginning of the 1980’s, the  H control problem has been extensively studied. For the delay free systems several results approaching the problem of output  H feedback synthesis have been published in the 1990’s. For a general theoretic framework for this problem and other related issues see [Ionescu 19981]. [Gahinet 1996] and [Iwasaki 1994] extended the general control problem using the Bounded Real Lemma (BRL) and linear matrix inequalities (LMI). Necessary and sufficient conditions for the existence of an  H controller were given in terms of three LMI’s. The delay is frequently a source of instability and encountered in various engineering systems such as chemical processes, hydraulics, power plants or combustion engines. As a result the stability of TDS received much attention in the last years. Since these systems include perturbations, it is important to study the  H problem for this class of systems. There have been published several results in the last years regarding the control for TDS, see [Park 2000], [Dugard 1998], [Niculescu 1998], [Li 1996], [Esfahani 1998] and [Shaked 1998]. For an analytical approach, see [Marshall 1992]. Most of the approaches that have numerical relevance (can be applied in general situations), are Lyapunov based methods. As a general pattern a Lyapunov functional* is defined for the system and the final results are expressed in terms of LMI’s. The resulting LMI’s are dependent on the way the Lyapunov functional is chosen. The purpose of this paper is to offer necessary and sufficient conditions for the existence of an  H output feedback controller, for a class of TDS described in (1.5) and to propose * In the literature there are two main approaches one using Lyapunov-Krasovskii functionals and the other using Lyapunov- Razumikhin functions. The last one is considered to be more conservative since it is using the Khargonekar Lemma, and it is recommended only when the previous one fails. For more details see Dugard [8]. .....