"synopsis" may belong to another edition of this title.
Shipping:
US$ 3.99
Within U.S.A.
Book Description Condition: New. Seller Inventory # ABLIING23Apr0316110081744
Book Description PF. Condition: New. Seller Inventory # 6666-IUK-9783838341323
Book Description Condition: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book. Seller Inventory # ria9783838341323_lsuk
Book Description PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L0-9783838341323
Book Description Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - 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
Book Description Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 # 9783838341323
Book Description PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L0-9783838341323
Book Description Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 pract. Seller Inventory # 5414642
Book Description Condition: New. First Edition. First Edition thus. Particle Swarm Optimization of Pid Tuning Parameters by Nelendran Pillay; Poobalan Govender. ISBN:9783838341323. Collectible item in excellent condition. Seller Inventory # 3838341323