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dc.contributor.editorBeltran-Carbajal, Francisco
dc.contributor.editorRosas-Caro, Julio Cesar
dc.contributor.editorRamirez, Juan M
dc.contributor.editorFélix Patrón, Roberto Salvador
dc.description.abstractThis 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.
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issuesen_US
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technologyen_US
dc.subject.otherB-spline neural networks
dc.subject.otheradaptive power system control
dc.subject.othercoordinated multiple controllers
dc.subject.otherexact plate theory
dc.subject.otherthick plate
dc.subject.otherbending vibration
dc.subject.otherpartial differential operator theory
dc.subject.othergauge condition
dc.subject.otherdata-driven control
dc.subject.otherreactive power compensation
dc.subject.othervoltage control
dc.subject.othervoltage source converter
dc.subject.otherquadrotor UAV
dc.subject.otherartificial neural networks
dc.subject.otherrobust control
dc.subject.otherTaylor series
dc.subject.otherparticle swarm optimization
dc.subject.otheractive suspension
dc.subject.othermodel predictive control
dc.subject.otherlinear parameter varying
dc.subject.otherellipsoidal set
dc.subject.otherattraction sets
dc.subject.otherquadratic stability
dc.subject.otheralgebraic identification
dc.subject.otherrotor-bearing system
dc.subject.otherfinite element model
dc.subject.otherrotordynamic coefficients
dc.titleAdvances and Trends in Mathematical Modelling, Control and Identification of Vibrating Systems

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