Advances and Trends in Mathematical Modelling, Control and Identification of Vibrating Systems

• Autore: Beltran-Carbajal Francisco
• Pubblicazione: Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
• Descrizione fisica: 1 online resource (132 p.)
• Soggetto topico: History of engineering & technology; Technology: general issues
• Soggetto non controllato: active suspension; adaptive power system control; algebraic identification; artificial neural networks; attraction sets; B-spline neural networks; B-splines; bending vibration; coordinated multiple controllers; data-driven control; ellipsoidal set; exact plate theory; finite element model; gauge condition; linear parameter varying; model predictive control; partial differential operator theory; particle swarm optimization; quadratic stability; quadrotor UAV; reactive power compensation; robust control; rotor-bearing system; rotordynamic coefficients; StatCom; STATCOM; Taylor series; thick plate; voltage control; voltage source converter
• Persona (resp. second.): Rosas-CaroJulio Cesar; RamirezJuan M; Félix PatrónRoberto Salvador; Beltran-CarbajalFrancisco
• Sommario/riassunto: 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.
• Titolo autorizzato: Advances and Trends in Mathematical Modelling, Control and Identification of Vibrating Systems
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910576879003321
• Lo trovi qui: Univ. Federico II