Discrete Event Dynamic Systems resources: Difference between revisions

Latest revision as of 16:33, 17 December 2009

Chapter 1: Introduction to DEDS
Chapter 2: Languages and Automata
Notes on conversion between DFSA and Regular Expressions [from Hopcroft, John E.; Ullman, Jeffrey D. (1979). Introduction to Automata Theory, Languages, and Computation (1st ed.) Addison-Wesley]
Chapter 3: Supervisory Control
Chapter 4: Petri Nets
Chapter 5: Timed DES
Chapter 6: Stochastic Timed Automata and Petri Nets
Notes on equivalence of ETPNs and MCs [from N. Viswanadham, Y. Narahari. Performance Modeling of Automated Manufacturing Systems , 1992, Prentice Hall]
Chapter 7: Markov Chains
Chapter 8: Controlled Markov Chains
Chapter 9: Reinforcement Learning MDP solution

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 * Chapter 1: [[Media:chap1_deds.pdf|Introduction to DEDS]]
 * Chapter 2: [[Media:chap2_deds.pdf|Languages and Automata]]
+* Notes on [[Media:DFARE.pdf|conversion between DFSA and Regular Expressions]] [from Hopcroft, John E.; Ullman, Jeffrey D. (1979). Introduction to Automata Theory, Languages, and Computation (1st ed.) Addison-Wesley]
+* Chapter 3: [[Media:chap3_deds.pdf|Supervisory Control]]
+* Chapter 4: [[Media:chap4_deds.pdf|Petri Nets]]
+* Chapter 5: [[Media:chap5_deds.pdf|Timed DES]]
+* Chapter 6: [[Media:chap6_deds.pdf|Stochastic Timed Automata and Petri Nets]]
+* Notes on [[Media:ETPN-MC.pdf|equivalence of ETPNs and MCs]] [from N. Viswanadham, Y. Narahari. Performance Modeling of Automated Manufacturing Systems , 1992, Prentice Hall]
+* Chapter 7: [[Media:chap7_deds.pdf|Markov Chains]]
+* Chapter 8: [[Media:chap8_deds.pdf|Controlled Markov Chains]]
+* Chapter 9: [[Media:chap8-RL_deds.pdf|Reinforcement Learning MDP solution]]