We revisit the central notion of controllability in supervisory control theory from process-theoretic perspective. To this end, we investigate partial bisimulation preorder, a behavioral preorder that is coarser than bisimulation equivalence and finer than simulation preorder. It is parameterized by a subset of the set of actions that need to be bisimulated, whereas the actions outside this set need only to be simulated. This preorder proves a viable means to define controllability in a nondeterministic setting as a refinement relation on processes. The new approach provides for a generalized characterization of controllability of nondeterministic discrete-event systems. We characterize the existence of a deterministic supervisor and compar...
We propose a model-based systems engineering framework for supervisory control of stochastic discret...
We propose a model-based systems engineering framework for supervisory control of stochastic discret...
We propose a model-based systems engineering framework for supervisory control of stochastic discret...
We revisit the central notion of controllability in supervisory control theory from process-theoreti...
We revisit the central notion of controllability in supervisory control theory from process-theoreti...
We revisit the central notion of controllability in supervisory control theory from process-theoreti...
We revisit the central notion of controllability in supervisory control theory from process-theoreti...
We employ the behavioral preorder termed partial bisimulation to define controllability for nondeter...
We employ the behavioral preorder termed partial bisimulation to define controllability for nondeter...
We employ the behavioral preorder termed partial bisimulation to define controllability for nondeter...
We propose a model-based systems engineering framework for supervisory control of stochastic discret...
We propose a model-based systems engineering framework for supervisory control of stochastic discret...
We propose a model-based systems engineering framework for supervisory control of stochastic discret...
We propose a model-based systems engineering framework for supervisory control of stochastic discret...
We propose a model-based systems engineering framework for supervisory control of stochastic discret...
We propose a model-based systems engineering framework for supervisory control of stochastic discret...
We propose a model-based systems engineering framework for supervisory control of stochastic discret...
We propose a model-based systems engineering framework for supervisory control of stochastic discret...
We revisit the central notion of controllability in supervisory control theory from process-theoreti...
We revisit the central notion of controllability in supervisory control theory from process-theoreti...
We revisit the central notion of controllability in supervisory control theory from process-theoreti...
We revisit the central notion of controllability in supervisory control theory from process-theoreti...
We employ the behavioral preorder termed partial bisimulation to define controllability for nondeter...
We employ the behavioral preorder termed partial bisimulation to define controllability for nondeter...
We employ the behavioral preorder termed partial bisimulation to define controllability for nondeter...
We propose a model-based systems engineering framework for supervisory control of stochastic discret...
We propose a model-based systems engineering framework for supervisory control of stochastic discret...
We propose a model-based systems engineering framework for supervisory control of stochastic discret...
We propose a model-based systems engineering framework for supervisory control of stochastic discret...
We propose a model-based systems engineering framework for supervisory control of stochastic discret...
We propose a model-based systems engineering framework for supervisory control of stochastic discret...
We propose a model-based systems engineering framework for supervisory control of stochastic discret...
We propose a model-based systems engineering framework for supervisory control of stochastic discret...