Advanced Mathematics and Computational Applications in Control Systems Engineering
Control system engineering is a multidisciplinary discipline that applies automatic control theory to design systems with desired behaviors in control environments. Automatic control theory has played a vital role in the advancement of engineering and science. It has become an essential and integral...
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| Médium: | Online |
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| Jazyk: | angličtina |
| Vydáno: |
MDPI - Multidisciplinary Digital Publishing Institute
2022
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| Témata: | |
| On-line přístup: | ONIX_20220111_9783036514529_327 |
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| _version_ | 1869521462895837184 |
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| collection | Directory of Open Access Books |
| description | Control system engineering is a multidisciplinary discipline that applies automatic control theory to design systems with desired behaviors in control environments. Automatic control theory has played a vital role in the advancement of engineering and science. It has become an essential and integral part of modern industrial and manufacturing processes. Today, the requirements for control precision have increased, and real systems have become more complex. In control engineering and all other engineering disciplines, the impact of advanced mathematical and computational methods is rapidly increasing. Advanced mathematical methods are needed because real-world control systems need to comply with several conditions related to product quality and safety constraints that have to be taken into account in the problem formulation. Conversely, the increment in mathematical complexity has an impact on the computational aspects related to numerical simulation and practical implementation of the algorithms, where a balance must also be maintained between implementation costs and the performance of the control system. This book is a comprehensive set of articles reflecting recent advances in developing and applying advanced mathematics and computational applications in control system engineering. |
| format | Online |
| id | doab-20.500.12854ir-76592 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-765922024-04-09T23:16:42Z Advanced Mathematics and Computational Applications in Control Systems Engineering López-Estrada, Francisco Ronay Valencia-Palomo, Guillermo doubly fed induction generator PI tuning LCL-filter passive damping advanced metaheuristics Bonferroni–Dunn and Friedman’s tests resistance spot welding dynamic resistance model adaptive control energy savings adaptive disturbance rejection controller hybrid systems state constraint worm robot bio-inspired robots Streeter–Phelps model fractional-order control high observers river monitoring 3 DOF crane convex systems fault-tolerant control robust control qLPV systems Takagi–Sugeno systems chaos synchronization FPGA UDS distillation column heating actuator Buck-Boost converter Takagi–Sugeno model fuzzy observer with sliding modes nonlinear optimization turbulent flow friction factor pipe roughness minor losses PID control and variants Intelligent control techniques neural control brushless DC electric motors sensors and virtual instruments analysis and treatment of signals n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues Control system engineering is a multidisciplinary discipline that applies automatic control theory to design systems with desired behaviors in control environments. Automatic control theory has played a vital role in the advancement of engineering and science. It has become an essential and integral part of modern industrial and manufacturing processes. Today, the requirements for control precision have increased, and real systems have become more complex. In control engineering and all other engineering disciplines, the impact of advanced mathematical and computational methods is rapidly increasing. Advanced mathematical methods are needed because real-world control systems need to comply with several conditions related to product quality and safety constraints that have to be taken into account in the problem formulation. Conversely, the increment in mathematical complexity has an impact on the computational aspects related to numerical simulation and practical implementation of the algorithms, where a balance must also be maintained between implementation costs and the performance of the control system. This book is a comprehensive set of articles reflecting recent advances in developing and applying advanced mathematics and computational applications in control system engineering. 2022-01-11T13:36:27Z 2022-01-11T13:36:27Z 2021 book ONIX_20220111_9783036514529_327 9783036514529 9783036514512 https://directory.doabooks.org/handle/20.500.12854/76592 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/4037 https://mdpi.com/books/pdfview/book/4037 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-1451-2 10.3390/books978-3-0365-1451-2 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036514529 9783036514512 178 Basel, Switzerland open access |
| spellingShingle | doubly fed induction generator PI tuning LCL-filter passive damping advanced metaheuristics Bonferroni–Dunn and Friedman’s tests resistance spot welding dynamic resistance model adaptive control energy savings adaptive disturbance rejection controller hybrid systems state constraint worm robot bio-inspired robots Streeter–Phelps model fractional-order control high observers river monitoring 3 DOF crane convex systems fault-tolerant control robust control qLPV systems Takagi–Sugeno systems chaos synchronization FPGA UDS distillation column heating actuator Buck-Boost converter Takagi–Sugeno model fuzzy observer with sliding modes nonlinear optimization turbulent flow friction factor pipe roughness minor losses PID control and variants Intelligent control techniques neural control brushless DC electric motors sensors and virtual instruments analysis and treatment of signals n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues Advanced Mathematics and Computational Applications in Control Systems Engineering |
| title | Advanced Mathematics and Computational Applications in Control Systems Engineering |
| title_full | Advanced Mathematics and Computational Applications in Control Systems Engineering |
| title_fullStr | Advanced Mathematics and Computational Applications in Control Systems Engineering |
| title_full_unstemmed | Advanced Mathematics and Computational Applications in Control Systems Engineering |
| title_short | Advanced Mathematics and Computational Applications in Control Systems Engineering |
| title_sort | advanced mathematics and computational applications in control systems engineering |
| topic | doubly fed induction generator PI tuning LCL-filter passive damping advanced metaheuristics Bonferroni–Dunn and Friedman’s tests resistance spot welding dynamic resistance model adaptive control energy savings adaptive disturbance rejection controller hybrid systems state constraint worm robot bio-inspired robots Streeter–Phelps model fractional-order control high observers river monitoring 3 DOF crane convex systems fault-tolerant control robust control qLPV systems Takagi–Sugeno systems chaos synchronization FPGA UDS distillation column heating actuator Buck-Boost converter Takagi–Sugeno model fuzzy observer with sliding modes nonlinear optimization turbulent flow friction factor pipe roughness minor losses PID control and variants Intelligent control techniques neural control brushless DC electric motors sensors and virtual instruments analysis and treatment of signals n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues |
| topic_facet | doubly fed induction generator PI tuning LCL-filter passive damping advanced metaheuristics Bonferroni–Dunn and Friedman’s tests resistance spot welding dynamic resistance model adaptive control energy savings adaptive disturbance rejection controller hybrid systems state constraint worm robot bio-inspired robots Streeter–Phelps model fractional-order control high observers river monitoring 3 DOF crane convex systems fault-tolerant control robust control qLPV systems Takagi–Sugeno systems chaos synchronization FPGA UDS distillation column heating actuator Buck-Boost converter Takagi–Sugeno model fuzzy observer with sliding modes nonlinear optimization turbulent flow friction factor pipe roughness minor losses PID control and variants Intelligent control techniques neural control brushless DC electric motors sensors and virtual instruments analysis and treatment of signals n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues |
| url | ONIX_20220111_9783036514529_327 |