SOFT SWITCHING SYSTEM BASED ON WEIGHTED PROBABILITIES FOR STOCHASTIC HYBRID MULTIPLE MODEL-BASED CONTROL SYSTEMS
Stochastic hybrid model-based control refers to controlling uncertain systems, which are modeled as a multiple-model set with a varying variable structure and the use of interacting multiple model (IMM) estimator and generalized predictive control (GPC) algorithm as described in [1]. For a hard swit...
| Main Authors: | , |
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| Format: | Citation Index Journal |
| Language: | English |
| Published: |
Westing Publishing Co.
2010
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| Subjects: | |
| Online Access: | http://scholars.utp.edu.my/id/eprint/942/ http://scholars.utp.edu.my/id/eprint/942/1/Final%20Version.pdf |
| _version_ | 1848659060864319488 |
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| author | Vu, Trieu Minh Fakhruldin, Bin Mohd Hashim |
| author_facet | Vu, Trieu Minh Fakhruldin, Bin Mohd Hashim |
| author_sort | Vu, Trieu Minh |
| building | UTP Institutional Repository |
| collection | Online Access |
| description | Stochastic hybrid model-based control refers to controlling uncertain systems, which are modeled as a multiple-model set with a varying variable structure and the use of interacting multiple model (IMM) estimator and generalized predictive control (GPC) algorithm as described in [1]. For a hard switching system, the plant model is determined by the selection of the “most reliable” model in the model set. However as indicated in [2], the hard switching system can be destabilized with some switching sequences even if every model in the model set is globally stabilized. Now we consider the use of a soft switching system where the plant model is formed by the weighted probabilities from several models in the model set. It provides a smoother and smaller offset error in a tracking process. This paper presents some stabilizability conditions for the soft switching signals of continuous and discrete stochastic hybrid model-based control systems.
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| first_indexed | 2025-11-13T07:24:26Z |
| format | Citation Index Journal |
| id | oai:scholars.utp.edu.my:942 |
| institution | Universiti Teknologi Petronas |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-13T07:24:26Z |
| publishDate | 2010 |
| publisher | Westing Publishing Co. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:scholars.utp.edu.my:9422017-01-19T08:25:00Z http://scholars.utp.edu.my/id/eprint/942/ SOFT SWITCHING SYSTEM BASED ON WEIGHTED PROBABILITIES FOR STOCHASTIC HYBRID MULTIPLE MODEL-BASED CONTROL SYSTEMS Vu, Trieu Minh Fakhruldin, Bin Mohd Hashim TJ Mechanical engineering and machinery Stochastic hybrid model-based control refers to controlling uncertain systems, which are modeled as a multiple-model set with a varying variable structure and the use of interacting multiple model (IMM) estimator and generalized predictive control (GPC) algorithm as described in [1]. For a hard switching system, the plant model is determined by the selection of the “most reliable” model in the model set. However as indicated in [2], the hard switching system can be destabilized with some switching sequences even if every model in the model set is globally stabilized. Now we consider the use of a soft switching system where the plant model is formed by the weighted probabilities from several models in the model set. It provides a smoother and smaller offset error in a tracking process. This paper presents some stabilizability conditions for the soft switching signals of continuous and discrete stochastic hybrid model-based control systems. Westing Publishing Co. 2010 Citation Index Journal PeerReviewed application/pdf en http://scholars.utp.edu.my/id/eprint/942/1/Final%20Version.pdf Vu, Trieu Minh and Fakhruldin, Bin Mohd Hashim (2010) SOFT SWITCHING SYSTEM BASED ON WEIGHTED PROBABILITIES FOR STOCHASTIC HYBRID MULTIPLE MODEL-BASED CONTROL SYSTEMS. [Citation Index Journal] http://old.library.georgetown.edu/newjour/i/msg04201.html |
| spellingShingle | TJ Mechanical engineering and machinery Vu, Trieu Minh Fakhruldin, Bin Mohd Hashim SOFT SWITCHING SYSTEM BASED ON WEIGHTED PROBABILITIES FOR STOCHASTIC HYBRID MULTIPLE MODEL-BASED CONTROL SYSTEMS |
| title | SOFT SWITCHING SYSTEM BASED ON WEIGHTED PROBABILITIES FOR STOCHASTIC HYBRID MULTIPLE MODEL-BASED CONTROL SYSTEMS |
| title_full | SOFT SWITCHING SYSTEM BASED ON WEIGHTED PROBABILITIES FOR STOCHASTIC HYBRID MULTIPLE MODEL-BASED CONTROL SYSTEMS |
| title_fullStr | SOFT SWITCHING SYSTEM BASED ON WEIGHTED PROBABILITIES FOR STOCHASTIC HYBRID MULTIPLE MODEL-BASED CONTROL SYSTEMS |
| title_full_unstemmed | SOFT SWITCHING SYSTEM BASED ON WEIGHTED PROBABILITIES FOR STOCHASTIC HYBRID MULTIPLE MODEL-BASED CONTROL SYSTEMS |
| title_short | SOFT SWITCHING SYSTEM BASED ON WEIGHTED PROBABILITIES FOR STOCHASTIC HYBRID MULTIPLE MODEL-BASED CONTROL SYSTEMS |
| title_sort | soft switching system based on weighted probabilities for stochastic hybrid multiple model-based control systems |
| topic | TJ Mechanical engineering and machinery |
| url | http://scholars.utp.edu.my/id/eprint/942/ http://scholars.utp.edu.my/id/eprint/942/ http://scholars.utp.edu.my/id/eprint/942/1/Final%20Version.pdf |