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Pillay, Nelendran; Govender, Poobalan

Published by LAP Lambert Academic Publishing

ISBN 10: 3838341325 ISBN 13: 9783838341323

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About this Item: LAP Lambert Academic Publishing. PAPERBACK. Condition: Very Good. 3838341325 Satisfaction Guaranteed. Please contact us with any inquiries. We ship daily. Seller Inventory # Z3838341325Z2

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Nelendran Pillay

Published by LAP Lambert Academic Publishing 2010-06-24 (2010)

ISBN 10: 3838341325 ISBN 13: 9783838341323

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About this Item: LAP Lambert Academic Publishing 2010-06-24, 2010. paperback. Condition: New. Seller Inventory # 9783838341323

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Nelendran Pillay

Published by LAP Lambert Academic Publishing (2010)

ISBN 10: 3838341325 ISBN 13: 9783838341323

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About this Item: LAP Lambert Academic Publishing, 2010. PAP. Condition: New. New Book. Shipped from US within 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # IQ-9783838341323

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Pillay, Nelendran / Govender, Poobalan

ISBN 10: 3838341325 ISBN 13: 9783838341323

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About this Item: Condition: New. Publisher/Verlag: LAP Lambert Academic Publishing | Optimal Tuning of Single-Input-Single-Output Control Loops | Empirical studies have found that conventional tuning methods result in an unsatisfactory control performance when they are used for processes experiencing the negative destabilizing effects of strong nonlinearities. It is for this reason that control practitioners often prefer to tune most nonlinear systems using trial and error tuning, or intuitive tuning. Particle Swarm Optimization (PSO), developed by Eberhart and Kennedy (1995) was inspired by swarming behavior occurring in nature. In this work, the problem of identifying the PID controller parameters is considered as an optimization problem employing the PSO technique. A wide range of typical process models commonly encountered in industry is used to assess the efficacy of the PSO methodology. Comparisons are made between the PSO technique and other conventional methods using simulations and real-time control. This analysis should be useful to control practitioners who are considering using the PSO algorithm for tuning of PID controllers. | Format: Paperback | Language/Sprache: english | 311 gr | 220x150x12 mm | 196 pp. Seller Inventory # K9783838341323

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Pillay, Nelendran

Published by LAP Lambert Academic Publishing (2016)

ISBN 10: 3838341325 ISBN 13: 9783838341323

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About this Item: LAP Lambert Academic Publishing, 2016. Paperback. Condition: New. PRINT ON DEMAND Book; New; Publication Year 2016; Not Signed; Fast Shipping from the UK. No. book. Seller Inventory # ria9783838341323_lsuk

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Nelendran Pillay

Published by LAP Lambert Academic Publishing (2010)

ISBN 10: 3838341325 ISBN 13: 9783838341323

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About this Item: LAP Lambert Academic Publishing, 2010. PAP. Condition: New. New Book. Delivered from our UK warehouse in 3 to 5 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # LQ-9783838341323

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Nelendran Pillay, Poobalan Govender

Published by LAP Lambert Academic Publishing (2010)

ISBN 10: 3838341325 ISBN 13: 9783838341323

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About this Item: LAP Lambert Academic Publishing, 2010. Paperback. Condition: Used: Good. Seller Inventory # SONG3838341325

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Nelendran Pillay

Published by LAP Lambert Acad. Publ. Feb 2010 (2010)

ISBN 10: 3838341325 ISBN 13: 9783838341323

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About this Item: LAP Lambert Acad. Publ. Feb 2010, 2010. Taschenbuch. Condition: Neu. Neuware - Empirical studies have found that conventional tuning methods result in an unsatisfactory control performance when they are used for processes experiencing the negative destabilizing effects of strong nonlinearities. It is for this reason that control practitioners often prefer to tune most nonlinear systems using trial and error tuning, or intuitive tuning. Particle Swarm Optimization (PSO), developed by Eberhart and Kennedy (1995) was inspired by swarming behavior occurring in nature. In this work, the problem of identifying the PID controller parameters is considered as an optimization problem employing the PSO technique. A wide range of typical process models commonly encountered in industry is used to assess the efficacy of the PSO methodology. Comparisons are made between the PSO technique and other conventional methods using simulations and real-time control. This analysis should be useful to control practitioners who are considering using the PSO algorithm for tuning of PID controllers. 196 pp. Englisch. Seller Inventory # 9783838341323

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Nelendran Pillay

Published by LAP Lambert Acad. Publ. Feb 2010 (2010)

ISBN 10: 3838341325 ISBN 13: 9783838341323

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About this Item: LAP Lambert Acad. Publ. Feb 2010, 2010. Taschenbuch. Condition: Neu. Neuware - Empirical studies have found that conventional tuning methods result in an unsatisfactory control performance when they are used for processes experiencing the negative destabilizing effects of strong nonlinearities. It is for this reason that control practitioners often prefer to tune most nonlinear systems using trial and error tuning, or intuitive tuning. Particle Swarm Optimization (PSO), developed by Eberhart and Kennedy (1995) was inspired by swarming behavior occurring in nature. In this work, the problem of identifying the PID controller parameters is considered as an optimization problem employing the PSO technique. A wide range of typical process models commonly encountered in industry is used to assess the efficacy of the PSO methodology. Comparisons are made between the PSO technique and other conventional methods using simulations and real-time control. This analysis should be useful to control practitioners who are considering using the PSO algorithm for tuning of PID controllers. 196 pp. Englisch. Seller Inventory # 9783838341323

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Nelendran Pillay

Published by LAP Lambert Academic Publishing

ISBN 10: 3838341325 ISBN 13: 9783838341323

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About this Item: LAP Lambert Academic Publishing. Paperback. Condition: New. 196 pages. Dimensions: 8.5in. x 5.9in. x 0.7in.Empirical studies have found that conventional tuning methods result in an unsatisfactory control performance when they are used for processes experiencing the negative destabilizing effects of strong nonlinearities. It is for this reason that control practitioners often prefer to tune most nonlinear systems using trial and error tuning, or intuitive tuning. Particle Swarm Optimization (PSO), developed by Eberhart and Kennedy (1995) was inspired by swarming behavior occurring in nature. In this work, the problem of identifying the PID controller parameters is considered as an optimization problem employing the PSO technique. A wide range of typical process models commonly encountered in industry is used to assess the efficacy of the PSO methodology. Comparisons are made between the PSO technique and other conventional methods using simulations and real-time control. This analysis should be useful to control practitioners who are considering using the PSO algorithm for tuning of PID controllers. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Paperback. Seller Inventory # 9783838341323

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Nelendran Pillay; Poobalan Govender

Published by LAP Lambert Academic Publishing (2010)

ISBN 10: 3838341325 ISBN 13: 9783838341323

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About this Item: LAP Lambert Academic Publishing, 2010. Paperback. Condition: New. book. Seller Inventory # M3838341325

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Nelendran Pillay

Published by LAP Lambert Acad. Publ. Feb 2010 (2010)

ISBN 10: 3838341325 ISBN 13: 9783838341323

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About this Item: LAP Lambert Acad. Publ. Feb 2010, 2010. Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Neuware - Empirical studies have found that conventional tuning methods result in an unsatisfactory control performance when they are used for processes experiencing the negative destabilizing effects of strong nonlinearities. It is for this reason that control practitioners often prefer to tune most nonlinear systems using trial and error tuning, or intuitive tuning. Particle Swarm Optimization (PSO), developed by Eberhart and Kennedy (1995) was inspired by swarming behavior occurring in nature. In this work, the problem of identifying the PID controller parameters is considered as an optimization problem employing the PSO technique. A wide range of typical process models commonly encountered in industry is used to assess the efficacy of the PSO methodology. Comparisons are made between the PSO technique and other conventional methods using simulations and real-time control. This analysis should be useful to control practitioners who are considering using the PSO algorithm for tuning of PID controllers. 196 pp. Englisch. Seller Inventory # 9783838341323

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Nelendran Pillay

Published by LAP Lambert Academic Publishing, Germany (2010)

ISBN 10: 3838341325 ISBN 13: 9783838341323

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About this Item: LAP Lambert Academic Publishing, Germany, 2010. Paperback. Condition: New. Language: English . Brand New Book ***** Print on Demand *****.Empirical studies have found that conventional tuning methods result in an unsatisfactory control performance when they are used for processes experiencing the negative destabilizing effects of strong nonlinearities. It is for this reason that control practitioners often prefer to tune most nonlinear systems using trial and error tuning, or intuitive tuning. Particle Swarm Optimization (PSO), developed by Eberhart and Kennedy (1995) was inspired by swarming behavior occurring in nature. In this work, the problem of identifying the PID controller parameters is considered as an optimization problem employing the PSO technique. A wide range of typical process models commonly encountered in industry is used to assess the efficacy of the PSO methodology. Comparisons are made between the PSO technique and other conventional methods using simulations and real-time control. This analysis should be useful to control practitioners who are considering using the PSO algorithm for tuning of PID controllers. Seller Inventory # AAV9783838341323

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Nelendran Pillay

Published by LAP Lambert Academic Publishing (2010)

ISBN 10: 3838341325 ISBN 13: 9783838341323

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About this Item: LAP Lambert Academic Publishing, 2010. Paperback. Condition: Good. Ships with Tracking Number! INTERNATIONAL WORLDWIDE Shipping available. May not contain Access Codes or Supplements. May be ex-library. Shipping & Handling by region. Buy with confidence, excellent customer service!. Seller Inventory # 3838341325

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Results (1 - 14) of 14