Nonlinear constrained optimal control problem: a PSO–GA-based discrete augmented Lagrangian approach
This work deals with the optimal control problem which has been proposed to solve using the discrete augmented Lagrangian-based nonlinear programming approach. It is shown that this technique guarantees a satisfactory performance by minimizing the energy and maximizing the output. Further, a hybrid...
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| Veröffentlicht in: | International journal of advanced manufacturing technology 2012-09, Vol.62 (1-4), p.183-203 |
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| container_title | International journal of advanced manufacturing technology |
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| creator | Rahim, M. A. Khalid, Haris M. Khoukhi, Amar |
| description | This work deals with the optimal control problem which has been proposed to solve using the discrete augmented Lagrangian-based nonlinear programming approach. It is shown that this technique guarantees a satisfactory performance by minimizing the energy and maximizing the output. Further, a hybrid particle swarm and genetic algorithm-based approach is used to achieve the optimal value of Lagrange multipliers and required parameters. The designed scheme has been successfully tested through extensive simulation. The successful use of the proposed scheme encourages to other physical systems. The proposed scheme is evaluated extensively on a laboratory-scale coupled-tank system. |
| doi_str_mv | 10.1007/s00170-011-3810-8 |
| format | Article |
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The proposed scheme is evaluated extensively on a laboratory-scale coupled-tank system.</description><identifier>ISSN: 0268-3768</identifier><identifier>EISSN: 1433-3015</identifier><identifier>DOI: 10.1007/s00170-011-3810-8</identifier><language>eng</language><publisher>London: Springer-Verlag</publisher><subject>CAE) and Design ; Computer simulation ; Computer-Aided Engineering (CAD ; Engineering ; Genetic algorithms ; Industrial and Production Engineering ; Lagrange multiplier ; Mechanical Engineering ; Media Management ; Nonlinear control ; Nonlinear programming ; Optimal control ; Optimization ; Original Article ; Particle swarm optimization ; Swarm intelligence</subject><ispartof>International journal of advanced manufacturing technology, 2012-09, Vol.62 (1-4), p.183-203</ispartof><rights>Springer-Verlag London Limited 2011</rights><rights>The International Journal of Advanced Manufacturing Technology is a copyright of Springer, (2011). 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A.</creatorcontrib><creatorcontrib>Khalid, Haris M.</creatorcontrib><creatorcontrib>Khoukhi, Amar</creatorcontrib><title>Nonlinear constrained optimal control problem: a PSO–GA-based discrete augmented Lagrangian approach</title><title>International journal of advanced manufacturing technology</title><addtitle>Int J Adv Manuf Technol</addtitle><description>This work deals with the optimal control problem which has been proposed to solve using the discrete augmented Lagrangian-based nonlinear programming approach. It is shown that this technique guarantees a satisfactory performance by minimizing the energy and maximizing the output. Further, a hybrid particle swarm and genetic algorithm-based approach is used to achieve the optimal value of Lagrange multipliers and required parameters. The designed scheme has been successfully tested through extensive simulation. The successful use of the proposed scheme encourages to other physical systems. The proposed scheme is evaluated extensively on a laboratory-scale coupled-tank system.</description><subject>CAE) and Design</subject><subject>Computer simulation</subject><subject>Computer-Aided Engineering (CAD</subject><subject>Engineering</subject><subject>Genetic algorithms</subject><subject>Industrial and Production Engineering</subject><subject>Lagrange multiplier</subject><subject>Mechanical Engineering</subject><subject>Media Management</subject><subject>Nonlinear control</subject><subject>Nonlinear programming</subject><subject>Optimal control</subject><subject>Optimization</subject><subject>Original Article</subject><subject>Particle swarm optimization</subject><subject>Swarm intelligence</subject><issn>0268-3768</issn><issn>1433-3015</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp1kM9KAzEQxoMoWKsP4G3BczT_mmS9FdEqFCuo5zDJZtct22xNtgdvvoNv6JOYsoInT8PM_L75mA-hc0ouKSHqKhFCFcGEUsw1JVgfoAkVnGNO6OwQTQiTGnMl9TE6SWmdaUmlnqD6sQ9dGzzEwvUhDRFyUxX9dmg30O1nQ-y7Yht72_nNdQHF0_Pq-_NrMccWUiarNrnoB1_Artn4MOTREpoIoWkhFLDNSnBvp-iohi75s986Ra93ty8393i5WjzczJfYcSoHrC14JaUiTlGhhfBSzFRNnK1AKs9kWTrPKzcTwIQiwglrFbWVzRvgJfN8ii7Gu9n2fefTYNb9LoZsaRiTjCteijJTdKRc7FOKvjbbmN-NH4YSs4_TjHGaHKfZx2l01rBRkzIbGh__Lv8v-gGyAXk8</recordid><startdate>20120901</startdate><enddate>20120901</enddate><creator>Rahim, M. 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A.</creatorcontrib><creatorcontrib>Khalid, Haris M.</creatorcontrib><creatorcontrib>Khoukhi, Amar</creatorcontrib><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><jtitle>International journal of advanced manufacturing technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rahim, M. A.</au><au>Khalid, Haris M.</au><au>Khoukhi, Amar</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Nonlinear constrained optimal control problem: a PSO–GA-based discrete augmented Lagrangian approach</atitle><jtitle>International journal of advanced manufacturing technology</jtitle><stitle>Int J Adv Manuf Technol</stitle><date>2012-09-01</date><risdate>2012</risdate><volume>62</volume><issue>1-4</issue><spage>183</spage><epage>203</epage><pages>183-203</pages><issn>0268-3768</issn><eissn>1433-3015</eissn><abstract>This work deals with the optimal control problem which has been proposed to solve using the discrete augmented Lagrangian-based nonlinear programming approach. It is shown that this technique guarantees a satisfactory performance by minimizing the energy and maximizing the output. Further, a hybrid particle swarm and genetic algorithm-based approach is used to achieve the optimal value of Lagrange multipliers and required parameters. 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| identifier | ISSN: 0268-3768 |
| ispartof | International journal of advanced manufacturing technology, 2012-09, Vol.62 (1-4), p.183-203 |
| issn | 0268-3768 1433-3015 |
| language | eng |
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| source | Springer Nature - Complete Springer Journals |
| subjects | CAE) and Design Computer simulation Computer-Aided Engineering (CAD Engineering Genetic algorithms Industrial and Production Engineering Lagrange multiplier Mechanical Engineering Media Management Nonlinear control Nonlinear programming Optimal control Optimization Original Article Particle swarm optimization Swarm intelligence |
| title | Nonlinear constrained optimal control problem: a PSO–GA-based discrete augmented Lagrangian approach |
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