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Active diagnosis of discrete event systems
Proceedings of the 36th IEEE Conference on Decision and Control, 1998Summary: The need for accurate and timely diagnosis of system failures and the advantages of automated diagnostic systems are well appreciated. However, diagnosability considerations are often not explicitly taken into account in the system design. In particular, design of the controller and that of the diagnostic subsystem are decoupled, and this may ...
Meera Sampath +2 more
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Discrete-event dynamic systems [PDF]
IEEE Transactions on Control Systems Technology, 1999 The supervisory control theory of discrete-event dynamic systems (DEDS), first introduced by Ramadge and Wonham, is based on an automata concept. Given a process, the objective of this theory is to design a supervisor in such a way that the process coupled with the supervisor behaves according to various constraints.
René David, F. Charbonnier, H. Alla
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Event-Triggered-Based Discrete-Time Neural Control for a Quadrotor UAV Using Disturbance Observer
IEEE/ASME transactions on mechatronics, 2021An event-triggered-based (ETB) discrete-time neural control is studied for a quadrotor unmanned aerial vehicle (UAV) with external disturbances and input saturation by using the discrete-time disturbance observer (DTDO).
Shuyi Shao +3 more
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The predictability of discrete event systems
IEEE Transactions on Automatic Control, 1989Perturbation analysis and the automaton and language model are approaches developed recently for the study of discrete-event systems (DESs). The prediction of a trajectory of a new system is the essential idea of perturbation analysis. The automaton theory models a trajectory of a DES by a string in a particular language.
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Event-Triggered Optimal Parallel Tracking Control for Discrete-Time Nonlinear Systems
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2021A novel event-triggered optimal tracking control (ETOTC) method is developed for discrete-time nonlinear systems in this study. For the time-invariant desired trajectory, we prove that the tracking error is asymptotically stable, and an upper bound of ...
Jingwei Lu +4 more
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Aggregation in hierarchical discrete-event systems
Discrete Event Dynamic Systems, 2003The authors elaborate on the hierarchical partition of automata-based discrete-event systems and provide algorithms which can be applied in practical applications. In the first part of the paper, they focus on the question of how to obtain a decomposition of a hierarchical system.
J. H. van Schuppen, A. A. Al-Falou
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A representation of discrete event dynamical systems
Proceedings of 32nd IEEE Conference on Decision and Control, 2002The problem of determining a representation of the state dynamics associated to a generator of formal language, which models a discrete event dynamical system, is addressed. A definition of independence between states of the generator is formulated, based on the languages generated starting from these states.
DE SANTIS, Elena, DI GENNARO, Stefano
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IEEE Transactions on Automatic Control, 1996
Ordinal optimization concentrates on finding a subset of good designs, by approximately evaluating a parallel set of designs, and reduces the required simulation time dramatically for discrete-event simulation and optimization.
Chun-Hung Chen
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Ordinal optimization concentrates on finding a subset of good designs, by approximately evaluating a parallel set of designs, and reduces the required simulation time dramatically for discrete-event simulation and optimization.
Chun-Hung Chen
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On relative coobservability of discrete-event systems
2015 American Control Conference (ACC), 2013We study a new concept of relative coobservability in decentralized supervisory control of discrete-event systems under partial observation. This extends our previous work on relative observability from a centralized setup to a decentralized one. A fundamental concept in decentralized supervisory control is coobservability (and its several variations);
Kai Cai, W. M. Wonham, Renyuan Zhang
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Synchronous Diagnosis of Discrete-Event Systems
IEEE Transactions on Automation Science and Engineering, 2020In general, systems are formed by the composition of several modules, local components, or subsystems, and may exhibit a large number of states. The growth of the composed model with the number of system components leads to high-computational costs for ...
F. G. Cabral, M. V. Moreira
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