This paper proposes a general method to synthesize a least restrictive supervisor for a large discrete event system model, consisting of a large number of arbitrary automata representing the plants and specifications. A new type of abstraction called synthesis abstraction is introduced and three rules are proposed to calculate an abstraction of a given automaton. Furthermore, a compositional algorithm for synthesizing a supervisor for large-scale systems of composed finite-state automata is proposed. In the proposed algorithm, the synchronous composition is computed step by step and intermediate results are simplified according to synthesis abstraction. Then a supervisor for the abstracted system is calculated, which in combination with the...
A two-pass algorithm for compositional synthesis of modular supervisors for largescale systems of co...
This working paper describes a framework for compositional supervisor synthesis, which is applicable...
This working paper describes a framework for compositional supervisor synthesis, which is applicable...
This paper proposes a general method to synthesize a least restrictive supervisor for a large discre...
This paper proposes a general method to synthesizea least restrictive supervisor for a large discret...
A two-pass algorithm for compositional synthesis of modular supervisors for large-scale systems of c...
A two-pass algorithm for compositional synthesis of modular supervisors for large-scale systems of c...
A two-pass algorithm for compositional synthesis of modular supervisors for largescale systems of co...
This paper describes a framework for compositional supervisor synthesis, which is applicable to all ...
This paper presents a general framework for efficient synthesis of supervisors for discrete event sy...
This paper presents a general framework for efficient synthesis of supervisors for discrete event sy...
A two-pass algorithm for compositional synthesis of modular supervisors for large-scale systems of c...
A two-pass algorithm for compositional synthesis of modular supervisors for large-scale systems of c...
This working paper describes a framework for compositional supervisor synthesis, which is applicable...
A two-pass algorithm for compositional synthesis of modular supervisors for largescale systems of co...
A two-pass algorithm for compositional synthesis of modular supervisors for largescale systems of co...
This working paper describes a framework for compositional supervisor synthesis, which is applicable...
This working paper describes a framework for compositional supervisor synthesis, which is applicable...
This paper proposes a general method to synthesize a least restrictive supervisor for a large discre...
This paper proposes a general method to synthesizea least restrictive supervisor for a large discret...
A two-pass algorithm for compositional synthesis of modular supervisors for large-scale systems of c...
A two-pass algorithm for compositional synthesis of modular supervisors for large-scale systems of c...
A two-pass algorithm for compositional synthesis of modular supervisors for largescale systems of co...
This paper describes a framework for compositional supervisor synthesis, which is applicable to all ...
This paper presents a general framework for efficient synthesis of supervisors for discrete event sy...
This paper presents a general framework for efficient synthesis of supervisors for discrete event sy...
A two-pass algorithm for compositional synthesis of modular supervisors for large-scale systems of c...
A two-pass algorithm for compositional synthesis of modular supervisors for large-scale systems of c...
This working paper describes a framework for compositional supervisor synthesis, which is applicable...
A two-pass algorithm for compositional synthesis of modular supervisors for largescale systems of co...
A two-pass algorithm for compositional synthesis of modular supervisors for largescale systems of co...
This working paper describes a framework for compositional supervisor synthesis, which is applicable...
This working paper describes a framework for compositional supervisor synthesis, which is applicable...