SYSYMar 3, 2017

Optimal Non-blocking Decentralized Supervisory Control Using G-Control Consistency

arXiv:1703.010481.21 citationsh-index: 13
Originality Incremental advance
AI Analysis

For researchers in supervisory control theory, this work offers a more efficient approach to decentralized control synthesis by reducing computational complexity.

The paper relaxes conditions for optimal non-blocking decentralized supervisory control by introducing G-control consistency (GCC), replacing L-OCC and Lm-observer properties, and proposes a synthesis method based on GCC.

Supervisory control synthesis encounters with computational complexity. This can be reduced by decentralized supervisory control approach. In this paper, we define intrinsic control consistency for a pair of states of the plant. G-control consistency (GCC) is another concept which is defined for a natural projection w.r.t. the plant. We prove that, if a natural projection is output control consistent for the closed language of the plant, and is a natural observer for the marked language of the plant, then it is G-control consistent. Namely, we relax the conditions for synthesis the optimal non-blocking decentralized supervisory control by substituting GCC property for L-OCC and Lm-observer properties of a natural projection. We propose a method to synthesize the optimal non-blocking decentralized supervisory control based on GCC property for a natural projection. In fact, we change the approach from language-based properties of a natural projection to DES-based property by defining GCC property.

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