Advances and Trends in Mathematical Modelling, Control and Identification of Vibrating Systems
This book introduces novel results on mathematical modelling, parameter identification, and automatic control for a wide range of applications of mechanical, electric, and mechatronic systems, where undesirable oscillations or vibrations are manifested. The six chapters of the book written by expert...
Zapisane w:
| Format: | Online |
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| Język: | angielski |
| Wydane: |
MDPI - Multidisciplinary Digital Publishing Institute
2022
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| Hasła przedmiotowe: | |
| Dostęp online: | ONIX_20220621_9783036539492_118 |
| Etykiety: |
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| _version_ | 1869515029645099008 |
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| collection | Directory of Open Access Books |
| description | This book introduces novel results on mathematical modelling, parameter identification, and automatic control for a wide range of applications of mechanical, electric, and mechatronic systems, where undesirable oscillations or vibrations are manifested. The six chapters of the book written by experts from international scientific community cover a wide range of interesting research topics related to: algebraic identification of rotordynamic parameters in rotor-bearing system using finite element models; model predictive control for active automotive suspension systems by means of hydraulic actuators; model-free data-driven-based control for a Voltage Source Converter-based Static Synchronous Compensator to improve the dynamic power grid performance under transient scenarios; an exact elasto-dynamics theory for bending vibrations for a class of flexible structures; motion profile tracking control and vibrating disturbance suppression for quadrotor aerial vehicles using artificial neural networks and particle swarm optimization; and multiple adaptive controllers based on B-Spline artificial neural networks for regulation and attenuation of low frequency oscillations for large-scale power systems. The book is addressed for both academic and industrial researchers and practitioners, as well as for postgraduate and undergraduate engineering students and other experts in a wide variety of disciplines seeking to know more about the advances and trends in mathematical modelling, control and identification of engineering systems in which undesirable oscillations or vibrations could be presented during their operation. |
| format | Online |
| id | doab-20.500.12854ir-84540 |
| 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-845402024-04-09T23:15:54Z Advances and Trends in Mathematical Modelling, Control and Identification of Vibrating Systems Beltran-Carbajal, Francisco Rosas-Caro, Julio Cesar Ramirez, Juan M Félix Patrón, Roberto Salvador B-spline neural networks adaptive power system control coordinated multiple controllers StatCom exact plate theory thick plate bending vibration partial differential operator theory gauge condition data-driven control reactive power compensation STATCOM voltage control voltage source converter quadrotor UAV artificial neural networks robust control Taylor series B-splines particle swarm optimization active suspension model predictive control linear parameter varying ellipsoidal set attraction sets quadratic stability algebraic identification rotor-bearing system finite element model rotordynamic coefficients thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology This book introduces novel results on mathematical modelling, parameter identification, and automatic control for a wide range of applications of mechanical, electric, and mechatronic systems, where undesirable oscillations or vibrations are manifested. The six chapters of the book written by experts from international scientific community cover a wide range of interesting research topics related to: algebraic identification of rotordynamic parameters in rotor-bearing system using finite element models; model predictive control for active automotive suspension systems by means of hydraulic actuators; model-free data-driven-based control for a Voltage Source Converter-based Static Synchronous Compensator to improve the dynamic power grid performance under transient scenarios; an exact elasto-dynamics theory for bending vibrations for a class of flexible structures; motion profile tracking control and vibrating disturbance suppression for quadrotor aerial vehicles using artificial neural networks and particle swarm optimization; and multiple adaptive controllers based on B-Spline artificial neural networks for regulation and attenuation of low frequency oscillations for large-scale power systems. The book is addressed for both academic and industrial researchers and practitioners, as well as for postgraduate and undergraduate engineering students and other experts in a wide variety of disciplines seeking to know more about the advances and trends in mathematical modelling, control and identification of engineering systems in which undesirable oscillations or vibrations could be presented during their operation. 2022-06-21T08:41:18Z 2022-06-21T08:41:18Z 2022 book ONIX_20220621_9783036539492_118 9783036539492 9783036539508 https://directory.doabooks.org/handle/20.500.12854/84540 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/5523 https://mdpi.com/books/pdfview/book/5523 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-3950-8 10.3390/books978-3-0365-3950-8 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036539492 9783036539508 132 Basel open access |
| spellingShingle | B-spline neural networks adaptive power system control coordinated multiple controllers StatCom exact plate theory thick plate bending vibration partial differential operator theory gauge condition data-driven control reactive power compensation STATCOM voltage control voltage source converter quadrotor UAV artificial neural networks robust control Taylor series B-splines particle swarm optimization active suspension model predictive control linear parameter varying ellipsoidal set attraction sets quadratic stability algebraic identification rotor-bearing system finite element model rotordynamic coefficients thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Advances and Trends in Mathematical Modelling, Control and Identification of Vibrating Systems |
| title | Advances and Trends in Mathematical Modelling, Control and Identification of Vibrating Systems |
| title_full | Advances and Trends in Mathematical Modelling, Control and Identification of Vibrating Systems |
| title_fullStr | Advances and Trends in Mathematical Modelling, Control and Identification of Vibrating Systems |
| title_full_unstemmed | Advances and Trends in Mathematical Modelling, Control and Identification of Vibrating Systems |
| title_short | Advances and Trends in Mathematical Modelling, Control and Identification of Vibrating Systems |
| title_sort | advances and trends in mathematical modelling control and identification of vibrating systems |
| topic | B-spline neural networks adaptive power system control coordinated multiple controllers StatCom exact plate theory thick plate bending vibration partial differential operator theory gauge condition data-driven control reactive power compensation STATCOM voltage control voltage source converter quadrotor UAV artificial neural networks robust control Taylor series B-splines particle swarm optimization active suspension model predictive control linear parameter varying ellipsoidal set attraction sets quadratic stability algebraic identification rotor-bearing system finite element model rotordynamic coefficients thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | B-spline neural networks adaptive power system control coordinated multiple controllers StatCom exact plate theory thick plate bending vibration partial differential operator theory gauge condition data-driven control reactive power compensation STATCOM voltage control voltage source converter quadrotor UAV artificial neural networks robust control Taylor series B-splines particle swarm optimization active suspension model predictive control linear parameter varying ellipsoidal set attraction sets quadratic stability algebraic identification rotor-bearing system finite element model rotordynamic coefficients thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | ONIX_20220621_9783036539492_118 |