Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Reachability analysis using proximity based automata
Date
2004-01-01
Author
Kapinski, Jim
Schmidt, Klaus Verner
Krogh, Bruce
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
222
views
0
downloads
Cite This
This paper introduces proximity based automata (PBA) to perform reachability analysis for discrete-time, continuous-state systems. The notion of proximity of states in the continuous valued state space is used to evaluate the response of the system efficiently. A PBA is constructed using ellipsoidal techniques and tools for solving optimization problems constrained by linear matrix inequalities. Several empirical studies demonstrate how trade-offs between conservativeness and computational complexity can be exploited by varying parameters in the procedure for constructing the PBA.
Subject Keywords
Reachability
,
Hybrid systems
,
Verification
,
Dynamic systems
URI
https://hdl.handle.net/11511/35499
DOI
https://doi.org/10.1016/s1474-6670(17)30765-6
Collections
Department of Electrical and Electronics Engineering, Conference / Seminar
Suggestions
OpenMETU
Core
Robot end-effector based sensor integration for tracking moving parts
Konukseven, Erhan İlhan (2000-08-31)
This paper presents a cost-efficient end-effector based infrared proximity sensor integration system and the implementation of fuzzy-logic control algorithm.
Concurrency control for distributed multiversion databases through time intervals
Halıcı, Uğur (1991-04-01)
© 1991 ACM.Multiversion Schedulers are now a widely accepted method for enhancing performance of the concurrency control component of a database. When the read and write sets of transactions are known in advance, the amount of concurrency provided by the Multiversion Schedulers can further be improved. In this paper, a new concurrency control technique, which uses multiversion data in conjunction with predeclared read-write sets and the Time Interval technique is suggested. With the proposed method, a trans...
Hierarchical multitasking control of discrete event systems: Computation of projections and maximal permissiveness
Schmidt, Klaus Verner; Cury, José E.r. (null; 2010-12-01)
This paper extends previous results on the hierarchical and decentralized control of multitasking discrete event systems (MTDES). Colored observers, a generalization of the observer property, together with local control consistency, allow to derive sufficient conditions for synthesizing modular and hierarchical control that are both strongly nonblocking (SNB) and maximally permissive. A polynomial procedure to verify if a projection fulfills the above properties is proposed and in the case they fail for a g...
Neural identification of dynamic systems on FPGA with improved PSO learning
Cavuslu, Mehmet Ali; KARAKUZU, CİHAN; KARAKAYA, FUAT (2012-09-01)
This work introduces hardware implementation of artificial neural networks (ANNs) with learning ability on field programmable gate array (FPGA) for dynamic system identification. The learning phase is accomplished by using the improved particle swarm optimization (PSO). The improved PSO is obtained by modifying the velocity update function. Adding an extra term to the velocity update function reduced the possibility of stucking in a local minimum. The results indicates that ANN, trained using improved PSO a...
Representing temporal knowledge in connectionist expert systems
Alpaslan, Ferda Nur (1996-09-27)
This paper introduces a new temporal neural networks model which can be used in connectionist expert systems. Also, a Variation of backpropagation algorithm, called the temporal feedforward backpropagation algorithm is introduced as a method for training the neural network. The algorithm was tested using training examples extracted from a medical expert system. A series of experiments were carried out using the temporal model and the temporal backpropagation algorithm. The experiments indicated that the alg...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
J. Kapinski, K. V. Schmidt, and B. Krogh, “Reachability analysis using proximity based automata,” 2004, vol. 37, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/35499.