Vassilis L. Syrmos

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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(More)
This paper presents a robust extended Kalman filter (REKF) applied to the simultaneous localization and mapping (SLAM) problem. Conventional Kalman filter methods suffer from the assumption of Gaussian noise statistics, which often lead to failures when these assumptions do not hold. Additionally, the linearization errors associated with the implementation(More)
Modern military and commercial aircraft require advanced diagnostic and prognostic schemes to determine engine performance in order to reduce operational and maintenance costs and improve aircraft down time. Condition Based Maintenance (CBM) can be performed on an aircraft when a fault/failure is detected. However, to streamline maintenance procedures and(More)
Noise reduction for underwater acoustic signals has attracted considerable attention over the last few decades. Among the numerous techniques, wavelet soft-thresholding (STH) has been considered as one of the most effective noise reduction approaches, as it achieves near complete success in minimizing the mean-squared-error (MSE) and eliminating(More)
In this paper, a two-tier hierarchical architecture is proposed to address the multi-target tracking problem using a particle probability hypothesis density filtering algorithm. According to a proposed cluster scheduling method, the base station selects active clusters at each time step and determines their order for the sequential data fusion in the second(More)
In this paper we study the discrete generalized Lyapunov equation for implicit systems. We show how the anticipation phenomenon and the asymptotic stability of the system can be studied in terms of the solutions to the discrete generalized Lyapunov equation. We further study under which conditions these solutions are unique. Numerical examples are provided(More)
Abstrac t In this paper we examine the problem of robust pole placement using state-feedback in generalized systems. We develop a robustness theory for the finite generalized spectrum of the system as a partial problem, and for the "infinite" pole placement problem as a second partial problem where perfect conditioning is always achievable. We also give(More)
This paper will present a robust extended Kalman filter (REKF) applied to the navigation of an autonomous underwater vehicle (AUV) using robust Simultaneous Localization and Mapping (SLAM) techniques. Conventional Kalman Filter methods suffer from the assumption of Gaussian noise statistics, which often lead to failures when these assumptions do not hold.(More)
Use of competitive learning techniques towards the area of fault detection is being investigated. The objective of Fault Detection and Identification (FDI) is to detect, isolate and identify faults so that the system performance can be improved. This paper is focused on the data driven approach for fault detection and would use: (i) Unsupervised Competitive(More)