Florin Stoican

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Positive invariance is a common analysis and control design tool for systems affected by constraints and disturbances. The present paper revisits the construction of ǫ-approximations of minimal robust positive invariant sets proposing contractive procedures in the cases of switching between different sets of disturbances and the inclusion of a predefined(More)
This paper is concerned with the improved constraints handling in mixed-integer optimization problems. The novel element is the reduction of the number of binary variables used for expressing the complement of a convex (polytopic) region. As a generalization, the problem of representing the complement of a possibly non-connected union of such convex sets is(More)
In this paper, a fault detection and isolation (FDI) approach using a bank of interval observers is developed. From the methodological point of view, a bank of interval observers is designed according to different dynamical models of the system under different modes (healthy or faulty). Each interval observer matches one system mode while all the interval(More)
Institut de Robòtica i Informàtica Industrial (CSIC-UPC), Technical University of Catalonia (UPC) Llorens i Artigas, 4-6, 2nd floor, 08028, Barcelona, Spain E3S (SUPELEC Systems Sciences), Automatic Control Department, Gif sur Yvette, France Department of Automatic Control and Systems Engineering, Faculty of Automatic Control and Computers “Politehnica”(More)
The current paper addresses the problem of optimizing a cost function over a non-convex and possibly non-connected feasible region. A classical approach for solving this type of optimization problem is based on Mixed integer technique. The exponential complexity as a function of the number of binary variables used in the problem formulation highlights the(More)
The present paper deals with a fault tolerant control scheme for a multisensor plant under the assumption of bounded noises. A practical example, concerning a positioning system is detailed. Robust guarantees for the global stability of the system and the separability and identification of abrupt faults occurring in the sensor outputs are provided.
The last decade has seen the emergence of set-theoretic methods in fault detection and identification mechanisms. These techniques are seen as restrictive and mathematically challenging due to the strict conditions (e.g. signal boundedness) imposed for reactivity to faults by means of set separation. The present paper aims at implementing such methods to a(More)
The current paper addresses the problem of minimizing the computational complexity of optimization problems with non-convex and possibly non-connected feasible region of polyhedral type. Using hyperplane arrangements and Mixed-Integer Programming we provide an efficient description of the feasible region in the solution space. Moreover, we exploit the(More)