Title
Discrete Abstractions of Nonlinear Systems Based on Error Propagation Analysis.
Abstract
This paper proposes a computational method for the feasibility check and design of discrete abstract models of nonlinear dynamical systems. First, it is shown that a given discrete-time dynamical system can be transformed into a finite automaton by embedding a quantizer into its state equation. Under this setting, a sufficient condition for approximate bisimulation in infinite steps of time between the concrete model and its discrete abstract model is derived. The condition takes the form of a set of linear inequalities and thus can be checked efficiently by a linear programming solver. Finally, the iterative refinement algorithm, which generates a discrete abstract model under a given error specification, is proposed. The algorithm is guaranteed to terminate in finite iterations.
Year
DOI
Venue
2012
10.1109/TAC.2011.2161789
IEEE Trans. Automat. Contr.
Keywords
Field
DocType
Approximation methods,Computational modeling,Concrete,Trajectory,Quantization,Mathematical model,Aerospace electronics
Iterative refinement,Mathematical optimization,Nonlinear system,Iterative method,Finite-state machine,Linear programming,Solver,Mathematics,Discrete system,Dynamical system
Journal
Volume
Issue
ISSN
57
3
0018-9286
Citations 
PageRank 
References 
13
0.67
17
Authors
2
Name
Order
Citations
PageRank
Yuichi Tazaki17610.74
Jun-ichi Imura228551.71