Efficient polyhedral enclosures for the reachable set of nonlinear control systems

This work presents a general theory for the construction of a polyhedral outer approximation of the reachable set ("polyhedral bounds") of a dynamic system subject to time-varying inputs and uncertain initial conditions. This theory is inspired by the efficient methods for the construction...

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Bibliographic Details
Main Authors: Harwood, Stuart Maxwell (Contributor), Barton, Paul I. (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Chemical Engineering (Contributor), Massachusetts Institute of Technology. Process Systems Engineering Laboratory (Contributor)
Format: Article
Language:English
Published: Springer London, 2016-07-20T19:25:14Z.
Subjects:
Online Access:Get fulltext
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100 1 0 |a Harwood, Stuart Maxwell  |e author 
100 1 0 |a Massachusetts Institute of Technology. Department of Chemical Engineering  |e contributor 
100 1 0 |a Massachusetts Institute of Technology. Process Systems Engineering Laboratory  |e contributor 
100 1 0 |a Harwood, Stuart Maxwell  |e contributor 
100 1 0 |a Barton, Paul I.  |e contributor 
700 1 0 |a Barton, Paul I.  |e author 
245 0 0 |a Efficient polyhedral enclosures for the reachable set of nonlinear control systems 
260 |b Springer London,   |c 2016-07-20T19:25:14Z. 
856 |z Get fulltext  |u http://hdl.handle.net/1721.1/103782 
520 |a This work presents a general theory for the construction of a polyhedral outer approximation of the reachable set ("polyhedral bounds") of a dynamic system subject to time-varying inputs and uncertain initial conditions. This theory is inspired by the efficient methods for the construction of interval bounds based on comparison theorems. A numerically implementable instance of this theory leads to an auxiliary system of differential equations which can be solved with standard numerical integration methods. Meanwhile, the use of polyhedra provides greater flexibility in defining tight enclosures on the reachable set. These advantages are demonstrated with a few examples, which show that tight bounds can be efficiently computed for general, nonlinear systems. Further, it is demonstrated that the ability to use polyhedra provides a means to meaningfully distinguish between time-varying and constant, but uncertain, inputs. 
520 |a Novartis-MIT Center for Continuous Manufacturing 
546 |a en 
655 7 |a Article 
773 |t Mathematics of Control, Signals, and Systems