Abstract
A moment generating function approach for performance analysis of extended stochastic Petri nets (ESPN) is proposed. In ESPN, firing delays of transitions can be either deterministic or stochastic with an extended distribution. Transfer functions for transitions are first defined based on moment generating functions of all transitions and then used to evaluate system performance. Three fundamental structures that can be reduced into a single transition are discussed. Two examples are given to illustrate the proposed approach for system performance evaluation. The advantages and limitations of such an approach are discussed, and future research directions are indicated.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1309-1314 |
| Number of pages | 6 |
| Journal | Proceedings - IEEE International Conference on Robotics and Automation |
| Volume | 2 |
| State | Published - 1991 |
| Externally published | Yes |
| Event | Proceedings of the 1991 IEEE International Conference on Robotics and Automation - Sacramento, CA, USA Duration: Apr 9 1991 → Apr 11 1991 |
All Science Journal Classification (ASJC) codes
- Software
- Artificial Intelligence
- Electrical and Electronic Engineering
- Control and Systems Engineering