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This monograph proposes how to manage complexity by organizing the system as a State Tree Structure (STS). Based on STS, which is an adaptation of statecharts to Supervisory Control Theory, an efficient recursive symbolic algorithm is presented that can perform nonblocking supervisory control design in reasonable time and memory for complex systems. Nonblocking Supervisory Control of State Tree Structures...
It is well known that the nonblocking supervisory control problem is NP-hard, subject in particular to combinatorial state explosion that is exponential in the number of system components. To manage this complexity we introduce state tree structures (STS), an adaptation of statecharts to the supervisory control theory. The systems to be controlled are modeled as STS hierarchies encoded by binary decision...
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