Dynamic optimization of dual-mode hybrid systems with state-dependent switching conditions

This paper presents a computational approach for optimizing a class of hybrid systems in which the state dynamics switch between two distinct modes. The times at which the mode transitions occur cannot be specified directly, but are instead governed by a state-dependent switching condition. The cont...

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Main Authors: Blanchard, Eunice, Loxton, Ryan, Rehbock, Volker
Format: Journal Article
Published: Taylor & Francis 2017
Online Access:http://hdl.handle.net/20.500.11937/52580
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author Blanchard, Eunice
Loxton, Ryan
Rehbock, Volker
author_facet Blanchard, Eunice
Loxton, Ryan
Rehbock, Volker
author_sort Blanchard, Eunice
building Curtin Institutional Repository
collection Online Access
description This paper presents a computational approach for optimizing a class of hybrid systems in which the state dynamics switch between two distinct modes. The times at which the mode transitions occur cannot be specified directly, but are instead governed by a state-dependent switching condition. The control variables, which should be chosen optimally by the system designer, consist of a set of continuous-time input signals. By introducing an auxiliary binary-valued control function to represent the system's current mode, we show that any dual-mode hybrid system with state-dependent switching conditions can be transformed into a standard dynamic system subject to path constraints. We then develop a computational algorithm, based on control parameterization, the time-scaling transformation, and an exact penalty method, for determining the optimal piecewise constant input signals for the original hybrid system. A numerical example on cancer chemotherapy is included to demonstrate the effectiveness of the proposed algorithm.
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format Journal Article
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institution Curtin University Malaysia
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last_indexed 2025-11-14T09:52:18Z
publishDate 2017
publisher Taylor & Francis
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spelling curtin-20.500.11937-525802018-03-29T02:06:35Z Dynamic optimization of dual-mode hybrid systems with state-dependent switching conditions Blanchard, Eunice Loxton, Ryan Rehbock, Volker This paper presents a computational approach for optimizing a class of hybrid systems in which the state dynamics switch between two distinct modes. The times at which the mode transitions occur cannot be specified directly, but are instead governed by a state-dependent switching condition. The control variables, which should be chosen optimally by the system designer, consist of a set of continuous-time input signals. By introducing an auxiliary binary-valued control function to represent the system's current mode, we show that any dual-mode hybrid system with state-dependent switching conditions can be transformed into a standard dynamic system subject to path constraints. We then develop a computational algorithm, based on control parameterization, the time-scaling transformation, and an exact penalty method, for determining the optimal piecewise constant input signals for the original hybrid system. A numerical example on cancer chemotherapy is included to demonstrate the effectiveness of the proposed algorithm. 2017 Journal Article http://hdl.handle.net/20.500.11937/52580 10.1080/10556788.2017.1306523 Taylor & Francis fulltext
spellingShingle Blanchard, Eunice
Loxton, Ryan
Rehbock, Volker
Dynamic optimization of dual-mode hybrid systems with state-dependent switching conditions
title Dynamic optimization of dual-mode hybrid systems with state-dependent switching conditions
title_full Dynamic optimization of dual-mode hybrid systems with state-dependent switching conditions
title_fullStr Dynamic optimization of dual-mode hybrid systems with state-dependent switching conditions
title_full_unstemmed Dynamic optimization of dual-mode hybrid systems with state-dependent switching conditions
title_short Dynamic optimization of dual-mode hybrid systems with state-dependent switching conditions
title_sort dynamic optimization of dual-mode hybrid systems with state-dependent switching conditions
url http://hdl.handle.net/20.500.11937/52580