Feedback control designs for manufacturing systems modelled by continuous Petri nets
From MaRDI portal
Publication:4546899
DOI10.1080/002077299292100zbMath1092.93534OpenAlexW2074621362MaRDI QIDQ4546899
Publication date: 1999
Published in: International Journal of Systems Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/002077299292100
Feedback control (93B52) Design techniques (robust design, computer-aided design, etc.) (93B51) Models and methods for concurrent and distributed computing (process algebras, bisimulation, transition nets, etc.) (68Q85)
Related Items (16)
Estimation of the firing frequencies in discrete and continuous Petri nets models ⋮ Basic server semantics and performance monotonicity of continuous Petri nets ⋮ Individuals, populations and fluid approximations: a Petri net based perspective ⋮ Some contributions with Petri nets for the modelling, analysis and control of HDS ⋮ Frequency and time-domain analysis on performance of a production line operated by observer-based distributed control ⋮ Recursive solution of number of reachable states of a simple subclass of FMS ⋮ PARAMETERS ESTIMATION FOR TIMED AND CONTINUOUS PETRI NETS: APPLICATION TO THE IDENTIFICATION AND MONITORING OF HYBRID SYSTEMS ⋮ Gradient-based controllers for timed continuous Petri nets ⋮ First-order hybrid Petri nets. An application to distributed manufacturing systems ⋮ On fluidization of discrete event models: Observation and control of continuous Petri nets ⋮ Constrained regulation of continuous Petri nets ⋮ Continuous Petri Nets: Controllability and Control ⋮ On the lower bound of monitor solutions of maximally permissive supervisors for a subclass α-S3PR of flexible manufacturing systems ⋮ A control method for distributed continuous mono-T-semiflow Petri nets ⋮ Controllability of timed continuous Petri nets with uncontrollable transitions ⋮ Controllability of control and mixture weakly dependent siphons in S3PR
This page was built for publication: Feedback control designs for manufacturing systems modelled by continuous Petri nets