Papers by L. Travé-massuyès
Centralized control : Stabilization and pole assignment
Large Scale Systems: Decentralization, Structure Constraints and Fixed Modes
Note that a necessary condition for the existence of a decentralized static output feeback that m... more Note that a necessary condition for the existence of a decentralized static output feeback that makes the system controllable and observable by a single station, is that the system is strongly connected. Example 2.3 (KAT-81). Consider the globally controllable and observable system described by the following matrices :
Decentralized stabilization in presence of non structurally fixed modes
Springer eBooks, Feb 6, 2006
Design techniques — Parametric robustness
Springer eBooks, Feb 6, 2006
Sequential determination of minimal feedback patterns avoiding structurally fixed modes
Page 1. TP5 - 4:45 ... (2) Tie matrix bJdescribes a feedback pattern for 1 and Kp is the set of c... more Page 1. TP5 - 4:45 ... (2) Tie matrix bJdescribes a feedback pattern for 1 and Kp is the set of constant feedback matrices whose structure is constrained to this pattern. The set of fixed modes of 1 with respect to the feedback pattern P is given by: y=cx ...
Characterization of fixed modes
Springer eBooks, Feb 6, 2006
IFAC Proceedings Volumes, Jun 1, 1988
This paper introduces the concept of decentralized qualitative pole assignability, i.e., qualitat... more This paper introduces the concept of decentralized qualitative pole assignability, i.e., qualitative absence of decentralized fixed modes. A suff icient condition for the qualitative absence of real fixed modes, based on a qualitative version of the result of Anderson and Clements characterizing decentralized fixed modes, is provided. Some results are then derived ~hich enable us to check ~hether this condition is satisfied for a given qualitative system. These results are illustrated by significant examples.
IFAC Proceedings Volumes, Aug 1, 1987
IFAC Proceedings Volumes, Jul 1, 1984
In this paper, the problem of decentralized optimal control in presence of fixed modes is studied... more In this paper, the problem of decentralized optimal control in presence of fixed modes is studied. First we present several methods to avoid or to cancel all types of fixed modes. These methods yield a structure of the feedback matrix (not necessarily diagonal). Then, we present the algorithm of Geromel and Bernussou (1978) that pro vides a method for designing optimal decentralized control with respect to a quadratic criterion. We show that this algorithm can also be applied for the "quasi-decentralized" optimal control.
Choice of feedback control structure to avoid fixed modes
Springer eBooks, Feb 6, 2006
Minimal feedback structure avoiding structurally fixed modes
International Journal of Control, Jul 1, 1987
Page 1. INT. J. CONTROL, 1987, VOL. 46, NO. 1,313-325 Minimal feedback structure avoiding structu... more Page 1. INT. J. CONTROL, 1987, VOL. 46, NO. 1,313-325 Minimal feedback structure avoiding structurally fixed modes L. TRAVE,t AM TARRASj: and A. TITLI§ The paper addresses the problem of finding a set of feedback links ...
IEEE Transactions on Automatic Control, Mar 1, 1985
the entries in J'j 2 I i I I set to Zero), are the zero solutions yi = 0 2 5 i 141 T. E. Djaferis... more the entries in J'j 2 I i I I set to Zero), are the zero solutions yi = 0 2 5 i 141 T. E. Djaferis and A. Narayana. "Some new results on pole assignment by output I I. This makes the reduced system dl, N1 be equal to
Monitoring and alarm interpretation in industrial environments
Ai Communications, Dec 1, 1998
... 174-178. 21. [21] P. Laborie and J.-P. Krivine, Automatic generation of chronicles and its ap... more ... 174-178. 21. [21] P. Laborie and J.-P. Krivine, Automatic generation of chronicles and its application to alarm processing in power distribution systems, in: International Workshop on Principles of Diagnosis (DX '97), Mont St Michel, France, 1997, pp. 61-68. ...
In autonomous systems, planning and decision making rely on the estimation of the system state ac... more In autonomous systems, planning and decision making rely on the estimation of the system state across time, i.e. state tracking. In this work, a preference model is used to provide non ambiguous estimates at each time point. However, this strategy can lead to dead-ends. Our goal is to anticipate dead-ends at design time and to blame root cause preferences, so that these preferences can be revised. To do so, we present the preference-based state estimation approach and we apply a consistency-based meta-diagnosis strategy based on preference relaxation. We evaluate our approach on a robotic functional architecture benchmark.
Evolutionary Computation Techniques for Telephone Networks Traffic Supervision Based on a Qualitative Stream Propagation Model
Artificial Neural Nets and Genetic Algorithms, 1998
Evolutionary computation techniques have received a great deal of attention regarding their poten... more Evolutionary computation techniques have received a great deal of attention regarding their potential as optimization techniques for complex functions. In this paper, we consider three of them: multiple restart hill-climbing, population-based incremental learning and genetic algorithms. Their binary version and a real-coded variant of each of these techniques are experimented on a real problem: traffic supervision in telephone networks. Indeed, this task need to determine streams responsible for call losses in a network by comparing their traffic values to nominal values. However, stream traffic values are not directly available from the on-line data acquisition system and, hence, have to be computed by inverting a computational model of stream propagation in circuit-switched networks only based on the Erlang’s formula plus qualitative knowledge about the network. Then, our stream propagation model inversion has been computed thanks to the previous techniques and using several fitness measures to show how their choice can impact on the final results.
IFAC Proceedings Volumes, 2012
Diagnosis is the process of identifying or determining the nature and root cause of a failure, pr... more Diagnosis is the process of identifying or determining the nature and root cause of a failure, problem, or disease from the symptoms arising from selected measurements, checks or tests. The different facets of this problem and the wide spectrum of classes of systems make the diagnosis problem interesting to several communities and call for bridging several technologies. This paper provides a comprehensive picture of the different facets of diagnosis, and exemplifies how different technologies can be synergically integrated to provide better solutions for fault management problems.
AO* variant methods for automatic generation of near-optimal diagnosis trees
… International Workshop on …, 2003
... Some other variants like MAO* and WAO* are proposed in (Chakrabarti et al., 1989) and (Chakra... more ... Some other variants like MAO* and WAO* are proposed in (Chakrabarti et al., 1989) and (Chakrabarti et al., 1988), respectively. This paper proposes two new methods in order to reduce this too high computation time by building a near-optimal diagnosis tree. ...
Actas del seminario sobre técnicas cualitativas. VII Congreso de la Asociación Espanola para la Inteligencia Artificial (CAEPIA 97), 1997
ABSTRACT. Uncertainty of systems can be expressed in some cases with interval models. Simulation ... more ABSTRACT. Uncertainty of systems can be expressed in some cases with interval models. Simulation of interval models produces envelopes. These envelopes can have properties like completeness, soundness and hence be overbounded or underbounded. To perform the simulation of interval models there are quantitative, qualitative and semiqualitative simulators. A brief description of some simulators and a study of their properties are made. Some enhancements based on Modal Interval Analysis are proposed.
IFAC Proceedings Volumes, 2000
Two distinct communities have been working along the Model-Based Diagnosis approach. This paper c... more Two distinct communities have been working along the Model-Based Diagnosis approach. This paper clarifies and links the concepts and hypotheses that underly the FDI analytical redundancy approach and the DX consistency-based logical approach. This work results from the collaboration existing within the French IMALAIA group supported by the French National Programs on Automatic Control GDR Automatique and on Artificial Intelligence GDR I3.
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Papers by L. Travé-massuyès